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10/16/2010
Reporting & Analysis Advanced Exam

AdWords Help

11. Performance Monitoring and Conversion Tracking
11.1 Overview of Performance Monitoring and Conversion Tracking
Introduction to Performance Monitoring and Conversion Monitoring
Key Concepts of Performance Monitoring By tracking your performance and conversions, you can identify which clicks are more valuable and increase the efficiency of your ad spend. In order to do this, you first should track what your users are doing on your site. With more data about your customers, you can make better decisions about how to run your business. For example, if it's determined that a particular product on your site is very popular, you can invest more money into bidding competitively for keywords that lead to more traffic and conversions for that site. How Google Measures Performance AdWords uses a dynamic variable called 'Quality Score' to evaluate keyword relevance. Quality Score is based on your keyword's clickthrough rate (CTR) on Google; the relevance of your ad text, keyword, and landing page; and several other relevance factors. A Quality Score is calculated every time your keyword matches a search query - that is, every time your keyword has the potential to trigger an ad. Quality Score is used in several different ways, including influencing your keywords' actual cost-per-clicks (CPCs) and the first page bid estimates that you see in your account. It also partly determines if a keyword is eligible to enter the ad auction that occurs when a user enters a search query and, if it is, how high the ad will be ranked. In general, the higher your Quality Score, the lower your costs and the better your ad position. Quality Score helps ensure that only the most relevant ads appear to users on Google and the Google Network. The AdWords system works best for everybody, including advertisers, users, publishers, and even Google, when the ads we display match our users' needs as closely as possible. Relevant ads tend to earn more clicks, appear in a higher position, and bring you the most success. How Advertisers Can Monitor Performance Due to the dynamic nature of search, your keywords' Quality Scores can fluctuate often. Therefore, it's a good idea to keep tabs on your performance and make adjustments as needed. To analyze your account performance quickly, use the following resources: Keyword Status: View the 'Status' column on the 'Keywords' tab in your account. Your keyword status indicates whether or not your keyword is triggering ads to appear on search results pages. As mentioned, each of your keywords (except any negative keywords) is identified by a keyword state. Here's the full breakdown: Eligible: Eligible keywords are able to trigger ads. You may see the following two notes beneath the 'Eligible' status: Bid is below first page bid estimate of ____: This will appear if your keyword's cost-per-click (CPC) bid doesn't meet the amount likely to place your ad on the first page of Google web search. Ads show rarely due to low Quality Score: This will appear if your keyword's Quality Score is very low and preventing your ad from accruing much traffic. In this case, we recommend following these optimization tips to improve your Quality Score. Disapproved: These keywords don't comply with our Editorial Guidelines or Content Policy and won't trigger ads until you correct the problem. Paused/Deleted: These are keywords you've paused or deleted. They won't enter the ad auction and therefore won't trigger your ads. You may also see a status related to your campaign or ad group. For example, a status might indicate that a keyword is not triggering ads because it's contained in a campaign or ad group that is not currently active. For example, if a campaign is paused, all of the keywords in that campaign will show the status 'Campaign paused' to let you know that the keywords aren't active for that reason. To learn how to enable a keyword that isn't running, read Lesson 4, Section 2. Keyword Monitoring and Troubleshooting.

CTR Column: View the 'CTR' column on the 'Campaigns' tab of your 'All online campaigns' page to see how well a campaign is performing. The higher the clickthrough rate (CTR), the better the campaign is probably doing. For more in-depth performance tracking, we suggest that you set up conversion tracking or Google Analytics. AdWords Tools for Monitoring Performance For more in-depth performance tracking, we suggest that you create a report from the AdWords Report Center, or set up conversion tracking and Google Analytics.

Troubleshooting Performance Issues
Overview of Common Performance Issues Low Quality Score Issues If your keyword's bid doesn't meet the first page bid estimate and its Quality Score is very low, the Status column of the Keywords tab in your account will read 'Low Quality Score.' Neither the Status column nor the Keyword Analysis field will show the First Page Bid estimate. This is to emphasize the importance of improving your keyword's Quality Score through optimization rather than increasing its bid. Optimization will save you money, plus help ensure the quality of the AdWords program and the overall user experience. If your Quality Score improves, you're likely to see a low First Page Bid estimate. Google Network Issues If your ad isn't appearing on sites in the Google Network, check to make sure your campaign is opted in to our Display or Search Network by visiting your Settings tab. (Sign in to your account > Click the appropriate campaign > Click the Settings tab). You can opt in to the Search Network, the Display Network, or both under the Networks and bidding section of this tab. An easy way to spot whether or not your AdWords campaign is performing poorly in the Search Network is to check your CTR. A low CTR can indicate poor performance on Google.com and other Search Networks. Campaign Negative Keywords If there is overlap between your negative and regular keywords, the negative keyword will block your regular keywords from showing. Ads Targeted Outside Your Region You can target your campaigns to specific languages and geographic regions. However, if these targets do not include your own language settings and geographic location, you will not be able to see your ads. Identifying and Correcting Common Problems Low Quality Score Issues If you see the message "Eligible: Ads show rarely due to low Quality Score" in your Status column, point your mouse at the speech bubble icon next to any keyword to see more information.

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Click the Networks tab to view statistics broken out by performance on search, search partners, and the Display Network. If no impressions have occurred, you can check the Average Position column to make sure that your ads have a high enough average position to appear on the Google Network. Many of our partners accept only the ads that rank highest on Google. Campaign Negative Keywords To ensure that negative keywords aren't cancelling your regular keywords from showing, review the negative keywords and making changes where necessary. This will allow your keywords to show your ad. Learn more about negative keywords in Lesson 4, Section 2. About Negative Match Keyword Targeting. Ads Targeted Outside Your Region To view or edit the language targeting for your campaign, check the Languages section from within your Settings tab. Ensure that your Google interface language, which you can view by clicking the Preferences link on your Google homepage, is included on the list of selected languages. To view or edit the geographical targeting settings for your campaign, check the Locations section from within your Settings tab. Ensure that your own geographic location is included within the geographic regions that you have chosen. For more information about targeting your ads, visit Lesson 4, Section 3. AdWords Language and Location Targeting.

11.2 AdWords Reporting
Introduction to AdWords Reporting
Understanding AdWords Reports The AdWords Report Center can generate fully customizable reports on specific topics such as campaigns, keywords, and ad text. These reports let users identify important trends over weeks, months, or years. And because each report can be customized with configurable columns and performance filters, they provide just the information you need to help you identify your strengths and build on them, as well as search out areas of low performance and optimize accordingly. You can view your reports online or download them to your computer and open them with a spreadsheet application, such as Microsoft Excel. You also can have reports generated and emailed to you regularly. Detailed data analysis is also available on the Campaigns tab in your account. By working with filters, segmented views, and roll-up tabs of statistics across your account, you can quickly see and act on data that matters to you.

AdWords Report Types
Overview of AdWords Report Sources Data for your AdWords account can be found within the reports from the Report Center, or from the metrics columns in your Campaigns tab. About Report Center Report Types We currently offer 11 types of performance reports, each fully customizable based on the levels and types of data you want included. These report types, which cover the basic data users most often want to see, are: Keyword Performance: Displays details on selected keywords and organizes statistics by keyword. You can also use the Keywords tab on the all online campaigns level to view statistics across your whole account. Ad Performance: Presents relevant statistics for ad variations, such as text ads, image ads, video ads, and local business ads. To quickly find the same information across your whole account, use the Ads tab on the all online campaigns level. URL Performance: Displays statistics and measures the performance of destination URLs. Ad Group Performance: Organizes statistics for each of your ad groups. Use the Ad groups tab on the all online campaigns level to view statistics across your entire account. Campaign Performance: Organizes statistics for each of your campaigns. Account Performance: Generates statistics for your entire account, or for a portion of your account. Geographic Performance: Shows the geographic origin of your visitors. Demographic Performance: Displays the age and gender of your visitors. Search Query Performance: Shows performance data for the search queries that triggered your ads which appeared after receiving clicks. You can access the same information on any Keywords tab in your account when you click the 'See search terms' button. Placement Performance: Shows statistics for ads that appeared on specific domains or URLs in the Google Display Network. View the same information from the Networks tab in your account (the 'Automatic placements' table). Reach and Frequency Performance: Find out how many people saw your ads and how many times they saw them over a certain period of time. About Integrated Account Report Types In addition to Report Center reports, you can download any table on the Campaigns tab. Data from the Search Query Performance report and Placement Performance report are also easily accessible on the Campaigns tab. To see data from the Search Query Performance report, go to the Keywords tab and click the See search terms menu. To see data from the Placement Performance report, go to the Networks tab to see metrics across the Search and Display Networks. Try it Now: View Search Query and Automatic Placement Reports

Integrated search query and automatic placement reports can help you improve campaign performance by providing quick insights into the search terms that triggered your ads and where your ads are appearing on the Google Display Network. Follow the instructions below to use the search query and automatic placement reports. 1. 2. 3. 4. 5. 6. 7. Sign in to your AdWords account at https://adwords.google.com Click the Campaigns tab. In the table, click the name of a campaign that is opted into both Search and the Google Display Network. Click the Keywords tab. To run the Search Query report, click See search terms and select All. Click the Networks tab. To see your automatic placements, find the "Display Network" section. If necessary, click the Show details link next to the "Automatic Placements" label.

Questions to consider: For the search query report, view the performance statistics for all of the keywords listed. Keywords that say "Added" next to them are already in your account. How are they performing? Are there any that are not performing well? Are there any terms that don't match products or services that you are advertising? For the automatic placement report, view the performance statistics for all of the sites that are listed. If there are sites that are performing well, consider adding those sites as managed placements.

Running AdWords Reports

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2. Settings: In this section, you establish your report View and Date Range, and which ad groups and campaigns to include. View: Choose "Summary" for a high-level overview of all your selected stats, or choose from among "Hourly (by date or regardless of date)," "Daily," "Weekly," "Day of week," "Monthly," "Quarterly," or "Yearly" metrics for your account. Date Range: Use the pull-down menu and select a time period (i.e. "Last seven days," "Last 30 days," "This month," etc.) for your report. For specific dates for summary, Daily or Weekly views, click on the date fields underneath the pull-down menu. Clickable calendars will appear, from which you can select report beginning- and end-dates. (Note: Hourly report data is available from February 1, 2006 onwards). Campaigns and Ad Groups: To include all campaigns, choose the first radio button. For individual campaigns or ad groups, choose the manual selection option and click on the campaigns and/or ad groups you want included in your report. Choose as many or as few as you want included. 3. Advanced Settings: In this optional section, you can customize columns and filters so your report includes only the data you want to see. Columns: Click "Add or Remove Columns" to reveal checkboxes for each of the available column categories for your report type. You'll find a wide range of choices, including Impressions, Clicks, CTR, Avg CPC, Cost, Avg Position, Campaign, Daily Budget, Campaign Status, Ad Group, Ad Group Status, Headline, Display URL, and many others. As you add or remove columns, the visual column display is updated based on your selections. Filters: Click the link to "Filter Your Results" for filter options based on your report type. Filters allow you to refine up to four data types. Use the pull-down to select and customize the relevant data types for your report. Depending on your report type, your filter options may include Ad Distribution, Status, Match Type, Site/ Keyword, Avg Position, Clicks, Cost, Avg CPC, CTR, and Impressions, among others. 4. Templates, Scheduling and Email: In this section, you'll name your report, save it as a template if you want to reuse your settings, and provide an email and format for receiving your report. Name Your Report: Enter a title for your report. Pick a name that will be easy to recognize when you see it on a list of other reports you've created. Templates: Check the box to "Save this as a report template" if you want to run similar reports later. Scheduling: If you want to run this report on a regular basis, check the box to schedule automatic reports and choose from the pull-down schedule menu (for delivery daily, every Monday or on the first of every month). Email: To receive an email when your report is ready, check the box and then list the email address or addresses you want notified (for multiple addresses, separate each email with a comma). If you want your report attached to the email, check the next box and select your preferred report format from the pull-down menu (.csv, .csv for Excel, .tsv, .xml, .html). You're almost done! Now, just click the "Create Report" button and you'll see a screen confirming that your report has been submitted. At the top of the page you'll see Google's estimate of how long your report will take to generate. (Most reports take a few minutes or less.) Next comes a text box directing you to the Download Center, where you can review your report when it is completed. To the right you'll see details of the report you have just run. An important note: You don't have to wait at this page for your report to finish running. You can continue to browse through your account, sign off for a time, or even shut down your computer and return later. The report will continue to run and should be ready for you when you return. And if you requested an email notification and / or attached report, the report notice and attachment will be sent as soon as the report is completed. You can view your report online in three formats: as data only, as graphs created from your data, or as both data and graphs together in one report. If you prefer to download the report to your computer, you can do so in the same formats you can choose from for emailing your report: .csv (for Excel), .csv, .tsv, .xml., and .html .csv (comma-separated values) and .tsv (tab-separated values) files are encoded in UTF-8. These formats are recommended for users who prefer to process or review report data in text-only format. .csv (for Excel) files are encoded in UTF-16LE, and are compatible with most U.S. and international versions of Microsoft Excel. Select .xml (for "Extensible Markup Language") to place your statistics in a database or on a website. Select .html (for "Hypertext Markup Language") if you want to be able to view your report as a webpage. You may also open your report as a Google Spreadsheet for easy viewing and collaboration purposes.

Try it Now: Create a Report and Automate

Learn how to create a report in the Report Center, save it as a template and then automate the report to have it emailed to you on a regular basis. Follow the instructions below to create a report in the Report Center, save it as a template, and choose the how frequently you'd like to receive the report. 1. 2. 3. 4. Sign in to your AdWords account at https://adwords.google.com. Click on the "Reporting" tab and then choose "Reports" in the drop down menu. Then click "Create a Report" Select a "report type" & "settings" In the "Templates, Scheduling, and Email" section do the following: Name your report Check the box to "save this report as a template" Check the box to "schedule this report to run automatically" and then choose the frequency from the drop-down menu Check the box to "Email" this report and then enter in your email address Check the box to "attach the report" and choose a file format from the drop down menu. Click "Create Report"

Questions to consider: 1. 2. 3. 4. Think about how many reports you run in a week. Could setting up report templates save you time? Are there are other people on your team that would benefit from receiving this report? If so, add them to the distribution. If you need to edit your report templates, how would you do that? What does that then allow you to do?

Accessing and Using Integrated Account Reports To access your integrated account reports, select a campaign from the Campaigns tab. Use columns, filters, and segmentation options to customize your table in the tab. Click in the toolbar above the table to download the table. Sharing Reports with Other Users You can receive an email notification of a completed report, or receive the report itself via email in one of five formats that you can specify when you create your report. Check the box next to the statement Whenever the report runs, send email to: when creating the report and then type into the text box the email address or addresses to which you want notification sent when the report is finished. For multiple email recipients, separate each email address with a comma. If you schedule the report to run regularly, you'll be notified each time the report runs. By checking the box for with report attached as: you also can choose to have your report sent as an email attachment. Select your preferred report format from the pull-down menu: csv (for excel), .csv, .tsv, .xml, and .html. Please note that files will be emailed in a zip, or compressed, format. Compressed reports must be less than 2 megabytes in order for the report to be sent via email. If the file is larger than 2 megabytes, you will receive an email notification asking you to retrieve your report from the Report Center.

Interpreting AdWords Reports
Interpreting Ad, Ad Group, Campaign and URL Performance Reports The Ad Performance report lets you view statistics on how specific types of ad variations are performing. This type of report lets you see performance stats on text ads, image ads and, where available, video ads, mobile ads and local business ads. The Ad Group, Campaign and URL Performance reports shows you information for each level of your account. Interpreting Account Performance Reports

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Interpreting Placement Performance Reports

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There are two places where you can see the information for this report. The first way to reach this data is to view the Networks tab, which helps you reach your marketing objectives by giving you increased transparency into your campaign's performance on both the Search and Display Networks. It appears in three places in your account: On the 'All online campaigns' overview screen, on the main screen for each of your campaigns, and on the details page for each of your ad groups. Use this tab to help you manage your campaigns and reach your ROI objectives on the search and Display Networks. The second place in your account where you can access the placement performance data is in the Reporting > Reports tab. Click 'Create a New Report' and select 'Placement Performance.' The tips below can help you interpret the data that results once you run this report. 1. Think in terms of conversions When taking action on information provided on the Networks tab, we recommend you rely on conversion data to guide you. This will help you understand how individual sites are converting for you. We offer two free tools for advertising accountability: Google Conversion Tracking and Google Analytics. 2. Focus on the right areas by sorting The Networks tab displays a wealth of information about your ads' exposure on the search and Display Networks. This can be overwhelming and knowing where to start can be a challenge. In the upper corner of the Networks tab you'll see pull-down menus reading Last 7 Days and Tab Options. These allow you to focus on the areas that matter the most by filtering the results shown, either by date or by performance criteria. This will help you focus on the domains or URLs where your ads are getting the most exposure. You can also click any column title to sort your keywords according to that metric. 3. Act only on statistically significant data Some sites may have little data associated with them on your Networks tab. For example, you may notice sites that accrued very few impressions, while others may have accrued many impressions, but only a few clicks. In these cases, we recommend waiting for enough data to accrue before taking action on these sites. With time, you may find that these sites convert and deliver significant value once enough statistics have accumulated. 4. Don't focus on clickthrough rate (CTR) Don't worry if your clickthrough rate (CTR) on Display Network sites is lower than what you're used to seeing on the Search Network. It's normal for CTR to be lower on the Display Network because user behavior on Display Network pages is different than on search sites -- users on Display Network pages are browsing through information, not searching with keywords. Remember: Just because you have a low CTR on a Display Network site doesn't mean you're performing poorly. In keyword-targeted campaigns, you only pay for clicks, regardless of the number of impressions your ad may receive. Your ad performance on the Display Network does not affect your performance, cost-per-clicks (CPCs), or position on Google.com or on other pages in the Search Network. For these reasons, we recommend that your conversion tracking data and ultimately your ROI, not your CTR, is the true performance gauge for your ads. 5. Optimize for success The Networks tab can provide you with vast amounts of data about the performance of your campaigns on the Display and Search Networks, making it a powerful tool you can use to improve campaign performance. Here are some tips on optimizing for success on the Display Network: Re-evaluate your keywords and creatives If you find your ads are appearing on irrelevant pages, take steps to optimize your keyword lists and ads. For example, adding negative keywords is one way of refining your ad targeting on the Display Network. We also recommend creating Display Network-only campaigns, which will enable you to tweak your ad group and structure it for Display Network pages without affecting the performance of your search campaigns. For additional tips on how to optimize your campaigns for the Display Network, visit http://www.google.com/adwords/content-optimize Utilize the placement targeting feature For sites that are meeting your ROI objectives, consider targeting them using our placement targeting feature. Please note that when using placement targeting, you have the choice of either cost-per-click (CPC) or cost-per-thousand impression (CPM) bidding. Consider the Site and Category Exclusion tool For sites that are not meeting your ROI objectives after having accrued significant traffic, consider excluding them from your campaign with our Site and Category Exclusion tool. Avoid excluding sites based on subjective judgments on the content or quality of the site. Remember: Page content is dynamic and may change from the time the user has viewed the page and clicked on your ad to the time you view the Placement Performance report. Sites or pages that you don't find relevant may still be useful to other users. For this reason, the best way to determine the value of a site is to rely on conversion data to determine whether a particular site meets your ROI objectives. Additional tips Run the Placement Performance report at the URL level. This will give you the granularity necessary to determine the type of content your ads are appearing on. Remember that our system targets your ad at the page level, not the domain level. If you find that you're not seeing enough data in your Placement Performance report, try running the report for a longer period to see additional results. We recommend running the report for a date range that includes one or two weeks, although this will ultimately vary based on the size of your account. One way to limit the size of your report is to filter out sites with few impressions. For example, you may want to exclude sites that accrued less than 50 impressions from your report. You can do this by using the drop-down menu under the 'Advanced Settings' sections of the report creation wizard.

Interpreting Search Query Performance Reports Search Query reports allow you to see every search query that triggered your ad and received clicks. Whether your ad is triggered depends on the search term a user enters when searching on a site within the Google Network and on your keyword matching settings. In particular, this report can help you: Select the appropriate match type (e.g. broad, phrase, exact, or negative) for existing keywords. Identify new keywords you may want to add. Identify existing keywords you may want to delete. You can find the same information directly on the main Campaigns tab, by using the See search terms menu above the statistics table on the Keywords tab. Interpreting Impression Share Reports Impression share is a metric available at the campaign and account level for search. Campaign: If an advertiser has more than one campaign competing in the same target market, the resulting impression share for any one campaign won't be penalized if it loses an impression opportunity to another campaign from within the same account. For example, let's say Campaign A and Campaign B both belong in the same account. Out of the ten potential impressions, Campaign A shows twice, and Campaign B shows five times. A competitor takes the remaining three impressions. A campaign-level report will show an impression share of 40% for Campaign A (2/(2+3)) and 63% for Campaign B (5/(5+3)). You can see that the impressions Campaign A lost to Campaign B is not factored in to the denominator when we calculate Campaign A's impression share. This example illustrates that it is a lost opportunity for your campaign only when the competitor wins the remaining potential impressions. Account: Reports at this level will not penalize your impression share from the competition across all your campaigns. Let's take the same example from above. An account-level report would show an impression share of 70% ((2+5)/(7+3)) for the entire account. If you look at the denominator, you can see we factor in only the impressions you've won across all your campaigns (Campaign A and Campaign B) plus the

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Match tells you how your keywords would perform if they were all exact matched, so that you can determine whether or not match type is a cause for low impression share. This lets you rule out match type and focus on other possible factors when you are working to improve your impression share. This feature is available as a column option under 'Level of Detail' when you run an Account or Campaign Performance report. Data is available for search campaigns only.

Interpreting Reach and Frequency Reports The Reach and Frequency report is a metric within the Report Center that shows how many people saw your ads and how many times they saw them over a certain period of time. Reach is the number of unique users exposed to a particular advertisement during a specified period of time. Frequency is the average number of times a user is exposed to an advertisement. These metrics can help you understand how many people saw the ads within their placement-targeted campaigns and how often each person saw them. These metrics should be used in conjunction with a campaign's other reported metrics for an overall picture of performance. This report data is available at the site, ad group, and campaign levels for CPM placement-targeted campaigns only. Interpreting Demographic Reports The Demographic Performance report is packed with information about the gender and age groups of your users. For example, the report can reveal that your campaign doesn't perform very well in the age group 44 and over, but appeals more to women than men by a 2:1 ratio. Using data from this report, you can optimize your campaigns with demographic bidding. Interpreting Geographic Performance Reports The Geographic Performance report is offered within the AdWords Report Center which gives information about the geographic origin of AdWords metrics such as clicks. This report can help advertisers refine the targeting of their campaigns based on the geographic distribution of users who see it. Review your statistics by choosing the "Geographic Performance" report in the Report Center. This report, by default, will include the following metrics: Campaign, Ad Groups Country/Territory Region Metro City Impressions Clicks Avg. CPC Cost Conversions, conversion rate, cost/conversion Interpreting Invalid Clicks Reports The Invalid Clicks column provides data on the number of invalid clicks filtered during the reporting period. The Invalid Clicks Rate column provides data on the percentage of clicks filtered out of your total number of clicks (filtered + non-filtered clicks) during the reporting period. You can include either or both columns when running a Campaign Performance or Account Performance report.

Best Practices for AdWords Reports
Overview of Best Practices for AdWords Reports Use the Report Center to assess the performance of your accounts at a more detailed level Schedule reports to run on a regular basis and have them emailed to you when they're ready Advanced Options allow you to customize every report with additional columns/metrics - including Account, Campaign and Campaign Status (for MCC reports), Daily Budget, Avg CPC & Avg CPM, and conversion metrics

11.3 Conversion Tracking Basics
Introduction to Conversions and Conversion Tracking
Understanding and Calculating Return on Investment (ROI) In online advertising, a conversion occurs when a click on your ad leads directly to user behavior you deem valuable, such as a purchase, signup, pageview, or lead. Advertising is only effective if it generates measurable results for your business. Your Google AdWords account is an investment of time and money that you use to drive customers to your website. In this lesson, you’ll learn how to calculate your return on investment, or AdWords ROI. ROI can also be called Return on Ad Spend, or ROAS. Your ROI can be calculated as revenue from sales, minus advertising costs, all divided by the cost of advertising. For example, if your advertising costs for the past week were US$500 and you've sold US$1,000 worth of inventory as a result, you have a 100% ROI for the week ((US$1000-US$500) divided by US$500). To express ROI as a percentage, you multiply the result of this formula by 100. Determining your AdWords ROI can be a very straightforward process if your business is after web-based sales. You'll already have the advertising costs for a specific time period for your AdWords account in the statistics from your Campaigns tab. You can also create reports via the Report Center. The net profit for your business can then be calculated based on your company's revenue from sales made via your AdWords advertising, minus the cost of your advertising. Dividing your net profit by the advertising costs will give you your AdWords ROI for that period in time. In other cases, your ROI may require a different formula. For example, if you're interested in calculating the ROI for a page view or lead, you'll have to estimate the values of each of these actions. For example, a Yellow Pages ad for your business may cost US$1,000 per year and result in 100 leads. Ten of those leads become customers, and each customer provides an average revenue of US$120. The value of each lead is therefore US$12 (US$1200 revenue/100 leads), and your ROI for the Yellow Pages ad is 20% ((US$1200 revenue minus US$1000 spent)/US$1000 advertising cost) x 100. A simple alternative to estimating values for your leads and page views is to use a cost-per-acquisition (CPA) measurement. This method will allow you to focus primarily on how your advertising costs compare to the number of acquisitions those costs deliver. Using the Yellow Pages example again, your ads may cost US$1,000, resulting in 10 sales: therefore, your CPA for those ads is US$100. Your CPA should not exceed your profit derived from each acquisition. In the case of the Yellow Pages ad, the CPA is 20% less than the revenue the acquisitions provide. Defining a Conversion An AdWords conversion occurs when someone clicks on your AdWords ad and performs a behavior on your website that you recognize as valuable. Conversions can include the purchase of a digital camera, a visitor submitting their contact information for an insurance quote, or a prospective buyer downloading a white paper about your company's software capabilities. The conversion rate listed in your account is the number of conversions divided by the number of ad clicks. Conversions are only counted on Google and our Google Network partners. The conversion rate is adjusted to reflect only the ad clicks on which we can track conversions. The Two Types of Conversions Another important concept to understand is the difference between conversions (1-per-click) and conversions (many-per-click). Conversions (1-per-click) Conversions (1-per-click) count a conversion for every AdWords ad click resulting in a conversion within 30 days. This means if more than one conversion happens following a single ad click, conversions after the first will not count. These metrics are useful for measuring conversions approximating unique

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click) will count multiple conversions per click. These metrics are useful for measuring conversions that are valuable every time they happen (e.g. ecommerce transactions). Other metrics related to conversions (many-per-click) are: - Conversion rate (many-per-click): Conversions (many-per-click) divided by total clicks. Note that because you may receive more than one conversion per click, this conversion rate may be over 100%. - Cost / Conv. (many-per-click): Total cost divided by conversions (many-per-click).

Setting up Conversion Tracking
Installing Conversion Tracking Code Adding the code to your website is a simple cut-and-paste procedure. Make sure that you copy all of the code from within your account and that when adding the code to your website it is completely within the HTML <BODY> </BODY> tags, as shown here: [Purchase Conversion Default: Sample code snippet only - DO NOT USE] <html> <body> <!-- Google Code for Purchase Conversion Page --> <script language="JavaScript"> <!-var google_conversion_id = 1234567890; var google_conversion_language = "en_US"; var google_conversion_format = "1"; var google_conversion_color = "666666"; if (1) { var google_conversion_value = 1; } var google_conversion_label = "Purchase"; //--> </script> <script language="JavaScript" src="http://www.googleadservices.com/pagead/conversion.js"> </script> <noscript> <img height=1 width=1 border=0 src="http://www.googleadservices.com/pagead/conversion/1234567890/?value=1&label=Purchase&script=0"> </noscript> </body> </html> Verifying Conversion Tracking Code The simplest way to verify that you've implemented the AdWords Conversion Tracking code snippet is to check the page source. You can also check if the code is working by waiting for a conversion to occur or completing a test conversion yourself. If you know that a conversion has occurred on your site from an AdWords ad, check the conversion column in your reports to see that the conversion registered. Please note that updates to your account reports may take up to 24 hours. You can also run through the process yourself by searching on Google, clicking on one of your ads and completing a conversion on your site. However, this method costs you an ad click, so we recommend that you wait for a conversion to occur. Recommended Privacy Policy To maintain users' trust and protect their privacy, you may want to consider telling users about your tracking methods. This may include displaying our 'Google Site Stats' text to appear on your conversion confirmation page and/or informing them in another way (e.g. through your privacy policy). To add the Site Stats message, follow these steps: 1. 2. 3. 4. 5. Log in to your AdWords account. Click 'Conversions' from the Reporting tab. Select the action you wish to modify and click "Edit settings." Select the format of your Site Stats message under the Customize tracking indicator section. Click "Save Changes & Get Code" to finish.

Disabling Conversion Tracking You can fully disable AdWords Conversion Tracking from the AdWords Conversion Tracking page of the Reporting tab of your account. Just select the the action you want to stop, then click 'Delete.' Please also remember to remove the conversion tracking code snippet from all your pages and delete your actions through the AdWords Conversion Tracking page. Once you do so, the conversion statistics columns will no longer appear on your Campaigns tables. To start tracking again: If you ever change your mind, you can always return to the Conversion Tracking section from within your Reporting tab and set up AdWords Conversion Tracking.

Analyzing Basic Conversion Data to Improve ROI
Define Conversion Data Columns in your Report Once you've implemented conversion tracking, you will start seeing non-zero values for your conversion columns once visitors start converting on your site. The Conversion Rate and Cost/Conversion columns give you a quick overview of how your campaigns are doing, but they don't include any of the advanced statistics available through your Report Center. The Conversion Rate is the percentage of clicks that become conversions. Cost/Conversion (1-per-click) is the total cost divided by the number of ad clicks. Cost/Conversion (many-per-click) is the total cost you've accrued over the time period which you're viewing, divided by the number of conversions (many-perclick) you received as a result of those clicks. This data will give you a quick overview of how well your clicks are converting, and the average cost of those conversions. If you want to calculate which keywords are returning profit, compare the costs accrued by each keyword with the conversion data for that keyword. About AdWords Reports Conversion Data Your Report Center gives you detailed and specific conversion tracking information. Generating a custom report will give you access to all of your conversion statistics, including the number of conversions for both (many-per-click) and (1-per-click) as well as the cost per conversion type. Learn more about reports in Section 2. AdWords Reporting. A Custom Report enables you to evaluate keywords based on performance for each transaction type. Even seemingly relevant keywords may not provide the ROI you expect, so careful evaluation of the actual conversion data is essential for optimizing your campaigns. After selecting the relevant conversion tracking fields for your report, you can start evaluating your account's performance. Conversion rate and cost-perconversion are important statistics to monitor, and each is separated by either conversion (1-per-click) or (many-per-click) so that you can determine whether certain factors are more valuable than others. For example, if you’re tracking a lead sign-up you can use conversion (1-per-click) so that you can count that lead as unique. If you have multiple conversion types on your site (e.g. newsletter sign up and purchase), you want to count each conversion as they occur on your site. Tracking your transaction statistics can provide valuable insight into the effectiveness of your advertising, as well as the effectiveness of your site and the value of your product offerings.

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An 'About us' page A particular news article

AdWords Help
If you have a linked Google Analytics account, you can import your goals into Conversion Tracking to spot further opportunities to optimize your advertsing campaigns. In order to that, you must allow your data to be shared between AdWords Conversion Tracking and Google Analytics. With the shared data, you can benefit from accessing Analytics goals, transactions, and conversion data related to your AdWords ad clicks from right within your AdWords account. Read the full instructions to learn how to import your Google Analytics data.

Troubleshooting Conversion Data There may be several reasons why your conversions are not showing in your reports. Check the following conditions below to troubleshoot. Troubleshooting the problem from within your AdWords account The 'Conversions' page right within in your AdWords account is a simple way to confirm that there is something wrong with your conversion tracking before reviewing your site's actual source code. 1. Ensure that the AdWords Conversion Tracking is activated within the account. Navigate to the 'Conversions' page from your AdWords account. Check and see that the 'Status' column says 'Active.' 2. Check again after more time has elapsed. The reports may not have been updated yet with your conversion(s) - this can sometimes take up to 24 hours. 3. Conversions and transactions get attributed to the date of the click, not the date the conversion occurred. If a user clicked on an ad on Monday and converted on Tuesday, the conversion and transaction would show up in their stats for Monday. Was the conversion tracking code properly implemented? A common reason why your conversion tracking statistics may not appear is due to implementation errors with the tracking code itself. Either you or the person who installed the tracking code on your site should go through the steps below to troubleshoot the issue. 1. First, verify that you've implemented your tracking code properly by reading through our conversion tracking implementation checklist. 2. If you've checked off every option from the list mentioned above, make sure that the conversion code is on the correct page. Remember that you need to place the code on the conversion confirmation page. This means that when a user reaches this page, they've already made the desired conversion. If you put it on the page just before the conversion, Google may report conversions for users who leave your site before actually completing a conversion. 3. The problem may be that you've inserted the code for dynamic pages according to the instructions for static pages, or vice versa. There are different instructions for different kinds of pages (such as PHP or ASP). You can see the instructions for every language by reading our AdWords Conversion Tracking Setup Guide under section number four. 4. Finally, check to see that the code on your pages is the same as in the account. View the source code of the conversion confirmation page. Locate the Google Conversion Code on the page. Compare the codes against the conversion tracking code in your AdWords account and ensure that everything is identical. If there are any differences, please delete the code and copy it directly from the account onto your confirmation page again.

11.4 Advanced Conversion Tracking and Best Practices
Introduction to Advanced Conversion Actions
Overview of Conversion Tracking Action You can create up to 100 different conversion actions (e.g. transaction types) and set up separate monetary values for each one. For example, an action might be a user signing up for a newsletter, making a purchase, or downloading a file. Each action can be used to generate a conversion tracking code snippet which the advertiser can place on their website. By using different actions for the events that you're interested in, you can keep track of how many users complete each of these separate actions. Conversion Tracking Action Types AdWords provides different types of conversions that you can define. The list below are examples of the different conversion types you can create. You can also create your own conversion type using the 'Other' label. The Purchase/Sale label helps online commerce sites track purchases and sales. The Leads label tracks how many users reached a point in your website at which they have contacted your company, such as completing a 'request more information' form on your website. The Sign-ups label can track how many users elected to subscribe to a newsletter or download a white paper. The View of a key page label enables you to track when a visitor navigates to a specific page that you think is valuable. The Signup label shows you who signed up for your service on your site. The Other label enables you to define your own conversion type. The action types are just labels; you're not restricted to tracking only these types of action. Action labels can be assigned to any conversion page you would like to track.

Using Advanced Conversion Tracking
Static Variables in Advanced Conversion Tracking When you edit or create a new action, you have an option to define a value for each action. If the value of each conversion does not change, use the Revenue for your conversion field, which accepts integer values. For example, if you're tracking signups for a newsletter on your site, and you have determined that signups are worth US$25 to your company, you would enter '25' into this field. Entering a revenue amount for the conversion into the will allow AdWords to calculate the total value for your conversions. Using Non-Static (Dynamic) Variables in Advanced Conversion Tracking In order to track a dynamic value per conversion (such as a shopping cart total), you can implement a dynamic value in the conversion tracking code snippet. To do this, implement code in your conversion page to overwrite the value of the google_conversion_value variable. The variable you need to change is bolded below for your reference. [Purchase Conversion Default: Sample code snippet only - DO NOT USE] <html> <body> <!-- Google Code for Purchase Conversion Page --> <script language="JavaScript"> <!-var google_conversion_id = 1234567890; var google_conversion_language = "en_US"; var google_conversion_format = "1"; var google_conversion_color = "666666"; if (1) { var google_conversion_value = 1; } var google_conversion_label = "Purchase"; //--> </script> <script language="JavaScript" src="http://www.googleadservices.com/pagead/conversion.js">

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AdWords Help
To make sure that conversion tracking works on your dynamic pages, first double-check that the code snippet is included in the correct conversion page. Then, confirm that the code was inserted into the static portion of the page. For example, you could set google_conversion_valuable to 'total_cost' where 'total_cost' represents the total amount in your shopping cart. If you customize it this way, the 'Value' column in your Conversion Tracking page will show the total amount of your shopping cart across all your conversions.

Best Practices for Conversion Tracking
Overview of Best Practices for Conversion Tracking Conversions (1-per-click) are useful for tracking unique customer leads, whereas conversions (many-per-click) can give you information about multiple transactions Set up different kinds of conversion types and create monetary values for each to keep track of items on your site If your AdWords account is linked to an Analytics account, import your Analytics goals into Conversion Tracking. With the shared data, you can benefit from accessing Analytics goals, transactions, and session data related to your AdWords ad clicks from right within your AdWords account.

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Reporting & Analysis Advanced Exam

AdWords Help

12. Google Analytics
12.1 Overview of Google Analytics
Introduction to Google Analytics
Google Analytics is a free web analytics tool that is hosted by Google. As a result, the reports and features it offers prove to be powerful, flexible, and intelligent. It shows you how visitors actually find and use your site, so you'll be able to: make informed site structure and content decisions improve your site to help make you make decisions on how to convert more visitors into customers track the performance of your keywords, banner ads, and other marketing campaigns and track metrics such as revenue, average order value, newsletter sign-ups, page downloads, and e-commerce conversion rates Google Analytics Value Proposition Learning how users interact with your website and using that knowledge to make improvements is key to building an effective online business.Google Analytics can help you answer important questions about your site and your marketing initiatives. Click on the goals listed below to find out which reports will help you achieve them: Drive valuable traffic Maximize conversions on your website Decrease unnecessary costs Who Should Use Google Analytics Google Analytics provides a powerful tracking solution for websites, videos, rich media, mobile applications, etc. This is particularly useful for: Executives Marketing Professionals Content and Web Developers

Signing Up for a Google Analytics Account
Creating a Google Analytics Account There are a few ways you can sign up for a Google Analytics account. The primary option is to visit http://google.com/analytics and click 'Sign up now.' If you are already an AdWords user, you can create a new account via the 'Google Analytics' section from the Reporting tab of your AdWords account. For users who want to create multiple new Analytics accounts from a single Analytics account, you can select the 'Create New Account' option from the dropdown menu found at the top of your Analytics account. People managing analytics services for several websites which belong to different organizations generally use this account creation method in order to have one new account for each organization. Sharing Access to a Google Analytics Account To give other users access to your Google Analytics account, you use the User Manager, which you can access from the Analytics Settings page. Inside the User Manager, you can view all of the users who currently have access to your account. There are two types of Google Analytics users. Administrators have access to all reports and they can also modify Analytics settings. That means they can create profiles, filters, and goals, and they can add users. View reports only users have read access to your reports and they can't modify Analytics settings. You can also restrict View reports only users to viewing only specific profiles. To add a user, follow these steps: 1. Click the "Add User" link from the User Access table. 2. After clicking "Add Users," a screen will appear prompting you to enter the user information in the form. In order for you to add new users, they must have a Google Account. Although you can add users with email addresses that aren't Google Accounts, they won't have access to your Analytics account. If they don't have a Google Account, ask them to create one at http://www.google.com/accounts. 3. Next, use the access type drop-down menu to select the level of access you want to give the new user. You can either grant View reports only or Administrator access. Remember, Administrators can view all reports and modify account settings. 4. If you selected the "View Reports Only," the interface will show you a list of all profiles associated with your account. Select the profiles you would like this user to have access to and click the "Add" button to apply your changes. 5. Finally, once you've finished, you can always edit the access settings for an existing user by clicking "Edit" next to the user in the User Manager table.

Installing Google Analytics
About Installing Google Analytics Google Analytics uses a combination of JavaScript and first party cookies to gather anonymous data about your visitors. As you set up your Google Analytics account, you will be provided with a tracking code. You'll need to install this tracking code across all pages of your site. Steps for Installing Google Analytics First, you'll need to find your personalized Google Analytics Tracking Code before installing it on your website. To find your tracking code: 1. Go to the Profile Settings page (find the profile from the Profile Overview page and click 'Edit' from underneath the 'Actions' column). Click the 'Check Status' link in the top right corner to be taken to the page that contains your tracking code and instructions for how to install it. If you need to access your tracking code later on, just go back to the same page. 2. Notice that there are two tabs each containing a different JavaScript code snippet on the Tracking Code page. One tab contains the legacy urchin.js tracking code and the other contains the new ga.js tracking code. We recommend that you install the new ga.js code in order to take advantage of new tracking features as they are released. If your site already uses the urchin.js version of the tracking code and you would like to upgrade to the ga.js version, please refer to the Google Analytics Tracking Code Migration Guide. You should not use both tracking code snippets together on any single page. Doing so can result in inaccurate report data. You can, however, migrate some pages of your site to the new tracking code while the legacy code remains on other pages. The Help Center includes instructions for both the new and legacy tracking codes. 3. To install the JavaScript, copy your tracking code and paste it into your page. 4. To maintain tracking consistency, install the code across all pages of your site. 5. To ensure you've properly installed the code, check the source code of all your pages (from the source code menu, select 'Edit' and click the 'Find' option). Now search for ga.js (or urchin.js if you are using the legacy code). If you find the Google Analytics Tracking Code on your page, then it is likely that Google Analytics has been successfully installed on your site. Repeat this process across several pages on your site to make sure that your installation is complete. Another option to check that you've installed your tracking code properly is to use the SiteScan tool developed by a Google Analytics Authorized Consultant, EpikOne. This tool will scan each page of your site and let you know if it finds tracking code errors. Note that this tool is developed and supported by a third party, not Google.

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To track across domains, you'll need to follow two steps.

AdWords Help
1. First, add a few lines to the Google Analytics Tracking Code on all pages of each site. The lines you need to add are bolded below. <script type="text/javascript"> var gaJsHost = (("https:" == document.location.protocol) ? "https://ssl." : "http://www."); document.write(unescape("%3Cscript src='" + gaJsHost + "google-analytics.com/ga.js' type='text/javascript'%3E%3C/script%3E")); </script> <script type="text/javascript"> try{ var pageTracker = _gat._getTracker("UA-12345-1"); pageTracker._setDomainName("none"); pageTracker._setAllowLinker(true); pageTracker._trackPageview(); } catch(err) {} </script> Call _setDomainName() with an argument of "none" and call _setAllowLinker() with an argument of "true". 2. The second step involves the _link() method. Use this method in all links between domains. In this example, we're updating all links from Google.com to YouTube.com and vice versa. We update each link to call the _link() method as shown here: <a href="http://www.youtube.com" onclick="pageTracker._link('http://www.youtube.com');return false;">Go to our sister site You Tube</a> <a href="http://www.google.com" onclick="pageTracker._link('http://www.google.com');return false;">Go to our sister site Google</a> Now, when a user clicks on a link that takes them to the other domain, the session information is preserved and the user is identified as being the same visitor across both domains. If you use a form to transfer visitors between domains, you'll use _linkByPost() instead of _link(). _linkByPost() is typically used when tracking from one site to a 3rd party shopping cart site. It can also be used to send cookie data to other domains in pop-ups or in iFrames. A modified form should look like this: <form action="http://www.shoppingcartsite.com/myService/formProcessor.php" name="f" method="post" onsubmit="pageTracker._linkByPost(this)"> . . . </form> The _linkByPost() method will change the form action by adding query string parameters to the value in the action attribute when the visitor submits the form. Track more than one subdomain per profile To track across multiple subdomains, call _setDomainName() and specify your parent domain name as the argument. This will allow the Google Analytics Tracking Code to use the same cookies across the subdomains. To track across subdomains, you will need to add the line of code (highlighted below) to the tracking code on every page of your site:

<script type="text/javascript"> var gaJsHost = (("https:" == document.location.protocol) ? "https://ssl." : "http://www."); document.write(unescape("%3Cscript src='" + gaJsHost + "google-analytics.com/ga.js' type='text/javascript'%3E%3C/script%3E")); </script> <script type="text/javascript"> var pageTracker = _gat._getTracker("UA-12345-1"); pageTracker._setDomainName(".google.com"); pageTracker._trackPageview(); </script>

To track across Google's various subdomains, you would call _setDomainName() with an argument of 'dot google dot com '. A side effect of using this method is that your reports may not differentiate between visits to identically named pages within the various subdomains. So, for example, visits to maps.google.com/home.html and mail.google.com/home.html would be interpreted as visits to a single page. Once you've called _setDomainName() to set your primary domain name, visits to maps.google.com/home.html and mail.google.com/home.html would be interpreted as the same page--"/home.html". To correct this, you'll need to set up an advanced filter to include the subdomain in your reports. Learn more about filters in Section 12.4 Google Analytics Filters. To set up your filter: 1. 2. 3. 4. 5. 6. 7. Go to your Profile Settings page. Click 'Add Filter.' Select 'Add new Filter for Profile.' In the 'Filter Name' field, give a description for your filter so that it's easy to identify. Select 'Custom filter' for Filter Type. Select the 'Advanced' radio button. Apply the advanced filter below: Filter Type: Custom filter > Advanced Field A: Hostname Extract A: (.*) Field B: Request URI Extract B: (.*) Output To: Request URI Constructor: /$A1$B1 By default, Field B Required is set to 'no.' Both Field A Required and Field B Required should be set to yes. With this filter, results appear with the subdomain attached: /maps.google.com/home.html /mail.google.com/home.html Note that the constructor must match exactly what is shown in the above example, starting with the forward slash.

Using Analytics to Track Ad Campaigns
Linking AdWords to Google Analytics By linking Google Analytics to your AdWords account, you can get advanced reporting that measures performance and ROI for your AdWords campaigns. Within AdWords, click the Google Analytics section from within the Reporting tab to link your accounts. The AdWords login that you're using will need Administrator privileges in Analytics in order to link the accounts; otherwise, you won't see the Analytics account you want from within the Existing Google Analytics Account drop-down menu step of the linking process. If you don't already have an Analytics account, you can create one. Try it Now: Linking AdWords and Analytics Accounts

Learn how to link your AdWords and Analytics accounts. Before you get started, make sure that you're using the same Google Account email address for both your Analytics and AdWords accounts, and that your AdWords account email address has Admin access for the Analytics account. 1. Sign in to your AdWords account at https://adwords.google.com.

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AdWords Help
1. What are the benefits of linking AdWords and Google Analytics accounts? 2. What is the difference between AdWords clicks and Google Analytics visits?

Using AdWords Autotagging When you link your accounts, you'll have the option of enabling 'Destination URL Autotagging.' This option allows you to differentiate your paid Google ads from Google organic search listings. You can choose to tag your AdWords ads manually if you decide not to take advantage of this feature. If autotagging isn't enabled and you're advertising on the Google Search Network, your Analytics reports will show that the visits from the sponsored listings and the organic listings are both coming from the same source / medium: google / organic. By default, Analytics will consider them both to be from Google organic search results, which means you won't see visits associated with your AdWords clicks in your AdWords reports. Therefore, enabling autotagging allows you to see which referrals to your site came from your paid Google campaigns and which ones came from Google. Autotagging works by adding a unique id, or "gclid", to the end of your destination URLs. This unique id allows Analytics to show you visit information associated with your clicks. Below is an example. Destination URL: http://www.googlestore.com/?promo=00146 Autotagged Destination URL: http://www.googlestore.com/?promo=00146&gclid=123xyz Notice that the first query parameter is always preceded with a question mark. Subsequent values are separated using ampersands (&). NOTE: Autotagging may not be appropriate for all websites. A small percentage of destination URLs don't accept additional URL parameters due to redirects or server settings. This can cause the "gclid" to be dropped or generate an error page. Dropped "gclids" will result in inaccurate campaign tracking; this can appear as "organic," "referral," or "direct" traffic in your Analytics reports. Using Manual Tagging Overview of Manual Tagging Google Analytics automatically tracks all of the referrals and search queries that send traffic to your website. However, if you choose not to enable autotagging for your Google ad campaigns, or you're running non-Google paid advertising campaigns, you'll need to manually add tags - or campaign variables - to the destination URL of your ads. Campaign variables There are five variables you can use when manually tagging URLs. To tag a URL, you add a question mark to the end of the URL, followed by your tag, like this: http://www.googlestore.com/?utm_source=google&utm_medium=cpc&utm_campaign=blackisback The variables and values are listed as pairs separated by an equals sign. Each variable-value pair is separated by an ampersand. Let's look at each variable: utm_source: Identify an advertiser (referrer: google, citysearch, newsletter4) You should use utm_source to identify the specific website or publication that is sending the traffic. Analytics is also case sensitive, so utm_source=google would be different than an entry for utm_source=Google. Case sensitivity applies for each variable you define. utm_medium: Advertising medium (marketing medium: cpc, banner, email) Use utm_medium to identify the kind of advertising medium -- for example, cpc for cost per click, or email for an email newsletter. utm_campaign: Campaign name (product, promo code, or slogan) Use utm_campaign to identify the name of the campaign -- for example, this could be the product name or it might be a slogan. You should always use the three variables above when tagging a link. You can use them in any order you want. You may also want to use these optional campaign variables: utm_term: Paid search keyword If you're manually tagging paid keyword campaigns, you should also use utm_term to specify the keyword. utm_content: Use to track different versions of an ad You can differentiate versions of a link. For example, if you have two call-to-action links within the same email message, you can use 'utm_content' to differentiate them so that you can tell which version is most effective. Using the Analytics URL Builder The URL Builder is a tool that automatically generates your tagged URL, once you fill in the appropriate campaign variables in the provided fields. When using the tool, always specify the Campaign Source, Campaign Medium, and Campaign Name fields. The URL builder can only construct one URL at a time, so you probably won't want to use it to construct every URL for every campaign. If you have a large number of URLs to tag, you can use spreadsheets to automate the process. Generate a sample URL in the URL Builder and create a simple spreadsheet formula. For example, your columns could show the campaign variables, the old destination URL, and the new URL generated by the URL Builder. Importing Cost Data from AdWords Applying cost data to your Analytics account allows you to view your AdWords click, cost, and impression data in your Google Analytics reports. This data is found on the Clicks tab of your AdWords Campaigns reports. All AdWords cost data from an account will be imported into any profile in which the Apply Cost Data checkbox is selected. Make sure both your AdWords and Analytics accounts are set to the same currency so that ROI data is accurately calculated. Remember, when linking your AdWords account to your Analytics account, your cost data will be applied to all of your profiles. If you don't want cost data imported into a particular profile, you can edit the profile settings. Within the "Edit Profile Information" screen, find the Apply Cost Data checkbox. De-select this checkbox. Note that Google Analytics is only able to import cost data from AdWords, and not from other ad networks. Finding Campaign Data in Reports So where does the campaign information that you've provided in your tags appear? Below are descriptions of where your information shows up in your reports. Source You can see all the sources in the "All Traffic Sources" report. This report will include not only all the sources you tagged, but also sources like "direct" and website names. Medium You can also see traffic by medium in the "All Traffic Sources" report. In addition to all the mediums you tagged, you'll also see mediums such as "referral" and "organic." Campaign Campaigns will appear in the "Campaigns" report. You'll also see manually tagged AdWords campaigns in the "AdWords Campaigns" report. In order for a campaign to show up in "AdWords Campaigns," you'll need to have tagged the associated links with a medium of "cpc" and a source of "google." Content

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AdWords Help
You may notice differences between the data in your Google Analytics and AdWords reports. There are several reasons for these differences. First, AdWords tracks clicks, while Analytics tracks visits. Second, some visitors who click on your AdWords ads may have JavaScript, cookies, or images turned off. As a result, Analytics won't report these visits, but AdWords will report the click. You'll also see differences between Analytics and AdWords if the Google Analytics Tracking Code on your landing page doesn't execute. In this case, AdWords will report the click but Analytics will not record the visit. Invalid clicks may also cause reporting differences because while Google AdWords automatically filters invalid clicks from your reports, Google Analytics will still report the visits. Finally, keep in mind that AdWords data is uploaded once a day to Analytics, so the results for each may be temporarily out of sync. Stay on the lookout for these common issues: Make sure that your landing pages contain the Google Analytics Tracking Code. If they don't, campaign information will not be passed to Analytics, but clicks will register in AdWords. If you've disabled autotagging, make sure that you manually tag your destination URLs with campaign tracking variables. Otherwise, visits will be marked as "Google Organic" instead of "Google CPC." Be aware that campaign data can be lost if your site uses redirects. As a result, Analytics won't show the visits as coming from AdWords, but your AdWords report will still report the clicks.

12.2 Getting Started with Google Analytics
Using E-commerce Tracking
Overview of E-commerce Tracking Objective: In this module, you'll learn about e-commerce reports and how they show important commerce-related metrics like transactions and revenue. If your site sells products or services online, you can use these reports to track sales activity and performance. Enabling E-commerce Reporting in the Profile In order to use E-commerce reporting, you'll need to do three things. Step 1: Enable E-commerce reporting within your Analytics website profile. At the top of the Profile Settings page, you'll see a section called 'Main Website Profile Information.' Click 'Edit' at the top right corner of the section. Select 'Yes' in the "E-commerce Website" section and save your changes. Step 2: Add or make sure that you've added the Google Analytics Tracking Code to your receipt page or Transaction Complete page. Make sure that the Google Analytics Tracking Code is on your receipt page. You should probably place it near the top of the page because the code you add in Step 3 needs to appear after the Google Analytics Tracking Code. As with the other pages on your site, you can use a server-side include or other template driver for dynamically generated pages. Another option is to simply copy and paste the code into your HTML for static pages. Step 3: Tracking your receipt page You'll need to add extra e-commerce code to your receipt page to track transaction details, which is outlined in the next section. About the Receipt Page Format In order to add your e-commerce code to your receipt page, please follow the instructions below. The standard Google Analytics Tracking Code should be at the top. Then, there is a call to the _addTrans() method. The call to _addTrans() tells Google Analytics that a transaction has occurred. The arguments to _addTrans() provide details about the transaction -- for example an Order ID, the total order amount, and the amount of tax charged. After the call to _addTrans(), there must be at least one call to the _addItem() method. This call provides Google Analytics with details about the specific item purchased. Finally, there is a call to the trackTrans() method which sends all the data to Google Analytics. This following code is an example of the code for e-commerce. Please do not paste the code below on to your actual site as the examples within the code's ecommerce fields will probably not fill your own business needs. <script type="text/javascript"> var gaJsHost = (("https:" == document.location.protocol) ? "https://ssl." : "http://www."); document.write(unescape("%3Cscript src='" + gaJsHost + "google-analytics.com/ga.js' type='text/javascript'%3E%3C/script%3E")); </script> <script type="text/javascript"> var pageTracker = _gat._getTracker("UA-12345-1"); pageTracker._initData(); pageTracker._trackPageview(); pageTracker._addTrans( "1234", // order ID - required "Mountain View", // affiliation or store name "11.99", // total - required "1.29", // tax "5", // shipping "San Jose", // city "California", // state or province "USA" // country ); pageTracker._addItem( "1234", // order ID - required "DD44", // SKU/code "T-Shirt", // product name "Green Medium", // category or variation "11.99", // unit price - required "1" // quantity - required ); pageTracker._trackTrans(); </script>

Managing Multiple Google Analytics Accounts
Overview of Managing Multiple Google Analytics Accounts Objective: This module will teach you how to create and delete multiple accounts, and how to navigate your way around your accounts once you have administrative access to them. Creating and Deleting Multiple Accounts Follow the instructions below to create or delete accounts.

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Deleting accounts

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Another way to create an additional account is to select the 'Create New Account' option from the dropdown menu at the top of your Analytics account. If you manage the analytics services for several websites which belong to different organizations, you'll generally want to create a new account for each organization.

If the Google Analytics account you want to delete is not linked to any other Analytics or AdWords account and you are an Administrator of the account, please follow the steps below: 1. 2. 3. 4. Make sure to remove the Analytics javascript code snippet from all your pages. To delete your account, go back to the Overview page (the first page you see when you sign in to your Analytics account). Select 'Edit' from the 'Actions' column. Click 'Delete this account' to finish.

Once you delete an account, you can't undo the deletion. All administrative users in your account will receive an email notifying them that the account has been deleted. Please let them know that it is their responsibility to alert other users of the account of the deletion. If the Analytics account is linked to any other Analytics or AdWords accounts, you'll need to first unlink the accounts and then delete it. To learn how to unlink your accounts, read How do I unlink my Analytics and AdWords accounts? Accessing Multiple Google Analytics Accounts If an Administrator has access to multiple Analytics accounts, he or she can access each account from the 'My Analytics Account' drop-down list at the top of each Analytics page. For example, if other Administrators have added you to their accounts, you'll see a list of those accounts in the drop-down.

Troubleshooting Tracking Code Problems
Overview of Troubleshooting Tracking Code Problems Objective: Learn how to solve common tracking code installation errors and how to resolve Analytics and AdWords data that seem to show mismatching figures in your reports. Entering the Tracking Code Correctly You have three ways to check and confirm that you've entered the tracking code correctly on your pages. 1. Check the 'Status' column of your website profiles' Overview page Google Analytics will itself check to see that the tracking code has been installed correctly on the home page of your site. Once you've created a new profile, the Tracking Status will display a warning icon, "Tracking status unknown," until the system detects the code. You can see what the different status icons look like and mean here. 2. Did you use an editor? If you used a WYSIWYG ("What you see is what you get") editor such as Macromedia Dreamweaver, make sure that you don't see the code when you're viewing your page in a browser. Some such editors will attempt to place the code as text on your page. Try to use the 'source' view when you're pasting the code to your web pages. 3. Always check the 'View Source' option Once your page is live, select View Source from your browser's menu and look for the code. If you don't know how to find the site's source code for a particular browser, please read this article. The Google Analytics Tracking Code should be immediately before the </body> tag of your page, and should look exactly as it was provided to you: <script type="text/javascript"> var gaJsHost = (("https:" == document.location.protocol) ? "https://ssl." : "http://www."); document.write(unescape("%3Cscript src='" + gaJsHost + "google-analytics.com/ga.js' type='text/javascript'%3E%3C/script%3E")); </script> <script type="text/javascript"> try{ var pageTracker = _gat._getTracker("UA-xxxxxx-x"); pageTracker._trackPageview(); } catch(err) {} </script> You should see your own account number in place of the xxxx-x in the example above. If you need a fresh copy of your code, click the Edit link next to the appropriate profile on the Analytics Settings page, then select Check Status at the top-right of the table. Advanced troubleshooting options If your tracking code has been installed correctly, and you're still not seeing any data after 24 hours, read I'm not seeing any data in my reports. You may also want to use a free tool that a third-party developer named EpikOne created to help with the process. The tool is called SiteScan and can be found at www.SiteScanGA.com. You can sign up to have the tool crawl your site and check for implementation errors. Examples of errors could be pages that don't have tracking code or pages that have both ga.js and urchin.js code on them (you shouldn't run both on a single site). This is not a Google-supported or developed tool, but many customers have found it useful. Mismatching Numbers in AdWords and Analytics Below are some common reasons of why you might see discrepancies between AdWords account data and Analytics account data. Clicks vs. Visits Clicks shows the number of clicks for which you paid and which your ads received. It's normal for visits and clicks to show different numbers. For example, you may see fewer clicks than visits. The reason is that some visitors clicked on the ad, and then later, during a different session, returned directly to the site through a bookmark. The referral information from the original visit was retained, so some clicks resulted in multiple visits. If you have fewer visits than clicks, you may not have the Google Analytics Tracking Code correctly installed on all your landing pages. It's also possible that some visitors clicked away from your website or stopped that landing page from loading before the tracking code was executed. If visitors don't have JavaScript, images, and cookies enabled in their browsers, they also won't be tracked. However, AdWords will still be able to register clicks from these visitors. AdWords filters invalid clicks from your report, while Analytics shows the complete set of traffic data AdWords automatically filters certain clicks from your reports, while Analytics will report on the resulting visits to your website. The clicks we filter from your AdWords reports are the occasional instances of someone clicking repeatedly on your ad in order to increase your costs or to increase your clickthrough rate. AdWords considers these clicks to be invalid and will automatically filter them out of your AdWords reports. You are not charged for these potentially invalid clicks. Did you turn off auto-tagging for your URLs in your AdWords account? If auto-tagging is turned off and the Destination URLs do not contain manually tagged campaign tracking variables, the visit will not be marked as 'google cpc' (clicks that came through from AdWords ads), but instead may be attributed to 'google organic' (clicks from natural search results on Google.com). Please ensure that your AdWords account either has auto-tagging turned on or has campaign tracking variables appended to the end of every destination URL. To enable auto-tagging again, please follow these instructions:

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pages for your AdWords ads.

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The visitor may set their browser preferences in a way that Google Analytics can't collect data Visitors entering through AdWords may have JavaScript, cookies, or images turned off. If this is the case, Google Analytics won't be able to report these visitors, but they will be reported through AdWords. In order for Google Analytics to record a visit, the visitor must have JavaScript, images, and cookies enabled for your website. Is your landing page able to load the code properly? Clicks reported on Google AdWords but not on Google Analytics may be the result of obstruction between the Google AdWords click event and the ability to load the tracking code on the landing page. If this is the case, ensure that your web hosting servers are functioning properly, the page is loading for all possible users and IPs, and the tracking code is installed correctly on your web pages. To check and see that you've installed the Analytics code properly, please read this article. Does your landing page redirect to a different page? Redirects in landing pages can often obstruct the Google Analytics code from launching and properly identifying the visit as coming from a paid search campaign. For example, if your ad leads to http://www.mydomain.com/index.html, but you've created a 301, 302, or JavaScript redirect from that URL to http://www.mydomain.com/page2.html, the campaign information that was originally appended to the landing page will be lost upon redirection. To learn how to track redirecting pages, please read this article.

12.3 Google Analytics Goals and Funnels
Introduction to Google Analytics Goals and Funnels
Overview of Analytics Goals and Funnels Objective: In this module you'll learn about goals and funnels. Defining site goals and tracking goal conversions is one of the best ways to assess how well your site meets its business objectives. You should always try to define at least one goal for a website. A goal represents a website objective. A goal can be: a page viewed by the visitor once they have completed a desired action a specified number of pages viewed by the visitor on the website a session longer or shorter than a specific time range There are three types of goals: A URL Destination goal triggers a conversion when a visitor views the specified page on your site. A Time on Site goal triggers a conversion when a visitor spends more or less time on your site than the threshold you have specified. A Pages/Visit goal triggers a conversion when a visitor views more pages or fewer pages than the threshold you have specified. For each goal that you define, you can also define a funnel. A funnel is the set of steps , or pages, that you expect visitors to visit on their way to complete the conversion. A sales checkout process is a good example of a funnel. And the page where the visitor enters credit card information is an example of one of the funnel steps. So, the goal page signals the end of the activity -- such as a "thank you" or "confirmation" page -- and the funnel steps are the pages that visitors encounter on their way to the goal. Setting Up Analytics Goals and Funnels To set up a goal and funnel, first go the Analytics Settings page and edit the profile for which you want to configure a goal. Once you've done that, please follow these steps: 1. Once you are on the Profile Settings page, look for the 'Conversion Goals and Funnel' section. 2. Select a goal and click 'Edit.' You can create up to four sets of five goals for each profile, or 20 goals total. Next, select the type of goal you want to define: URL Destination, Time on Site, or Page/Visit. For a URL Destination goal, enter the URL of the goal page. You don't have to enter the entire URL. You can simply enter the URL inclusive of 'http://' or the request URI - that's what comes after the domain or hostname. So, if the complete URL is http://www.googlestore.com/confirmation.php, you can add the entire URL (including 'http://') or just enter /confirmation.php, which is much simpler. Make sure that the URL you enter corresponds to a page that the visitor will only see once they complete the conversion activity. So, pick something like the 'Thank You' page or a confirmation page for your goal. 3. You can also enter a name for the goal. If you enter 'Completed Order' for a goal name, it will appear in your conversion reports. 4. Defining a funnel is optional. To define your funnel steps, you add the URLs of the pages leading up to the goal URL. Just as with goals, you don't have to enter the entire URL of a funnel step; just the request URI is fine. 5. Provide a name for each step in the funnel. If you enter a name like 'Select gift card ' for Step 1, the names you enter will appear in your reports. 6. The match type defines how Google Analytics identifies a goal or funnel step. You have three choices for the Match Type option. Head Match is the default. It indicates that the URL of the page visited must match what you enter for the Goal URL, but if there is any additional data at the end of their URL then the goal will still be counted. For example, some websites append a product ID or a visitor ID or some other parameter to the end of the URL. Head Match will ignore these. Another example is to have every page in a subdirectory to be counted as a goal. You could enter the subdirectory as the goal and select Head Match. Exact Match means that the URL of the page visited must exactly match what you enter for the Goal URL. In contrast to Head Match, which can be used to match every page in a subdirectory, Exact Match can only be used to match one single page. For example, Exact Match does not match the second pageview, '/offer1/signup.html?query=hats,' because of the extra query parameter at the end. Regular Expression Match gives you the most flexibility. For example, if you want to count any sign-up page as a goal, and sign-up pages can occur in various subdirectories, you can create a regular expression that will match any sign-up page in any subdirectory. Regular Expressions will be covered in a later module. 7. Check 'Case Sensitive' if you want the URLs you entered into your goal and funnel to exactly match the capitalization of visited URLs. To define a Time on Site goal, select Time on Site as the goal type. Next, select "Greater than" or "Less than" and enter an amount of time, for example 15 minutes. We'll discuss goal value in the next step. To define a Pages per Visit goal, select Pages per Visit as the goal type. Next, select "Greater than", "Equal to", or "Less than" and enter a number of pages.Threshold goals are useful for measuring site engagement, whereas URL Destination goals are best for measuring how frequently a specific activity has been completed. If your objective is for visitors to view as much content as possible, you might set a Pages per Visit goal. Or, if you have a customer support site and your objective is for visitors to get the information they need in as short a time as possible, you might set a Time on Site goal with a "Less than" condition. 8. The 'Goal Value' field allows you to specify a monetary value for goal. You should only do this for non e-commerce goals. By setting a goal value, you make it possible for Google Analytics to calculate metrics like average per-visit-value and ROI. These metrics will help you measure the monetary value of a non e-commerce site. Think about how much each goal conversion is worth to your business. So, for example, if your sales team can close sales on 10% of the people who request to be contacted via your site, and your average transaction is $500, you might assign $50 or 10% of $500 to your 'Contact Me' goal. Again, to avoid inflating revenue results, you should only provide values for non e-commerce goals.

Defining and Implementing Google Anaytics Goals and Funnels
Overview of Analytics Goals Objective: In this module you'll learn about the maximum number of goals you can create, and the best way you can structure them to help your marketing

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Examples Sets can be used to categorize the different types of goals you create for your marketing efforts. For example, if you want to track downloads, registrations, or receipt pages as separate goals, you can group them separately as sets. Set 1 would be assigned to up to five pages tracked as downloads, Set 2 would track registrations, and Set 3 the purchase confirmation or receipt page.

Troubleshooting Google Analytics Goals and Funnels
Overview of Troubleshooting Google Analytics Goals and Funnels Objective: In this module you'll learn some of the most common reasons for why goals and funnels aren't functioning properly, and how to fix them. Troubleshooting Goals That Aren't Being Tracked One way to check if you have written your Goal URL correctly is to see if the page is being tracked. Search the Top Content report for the goal page to confirm the page is properly tracked and counted as a goal. Please see the examples below for further information. I. Exact Match/Head Match: Search the Top Content report (found underneath the 'Content' section) for the request URI of the goal URL. For example, if your goal URL is www.example.com/cats/prettycatcheckout.html, then the Request URI is everything after the domain name '/cats/prettycatcheckout.html.' If the request URI appears in the Top Content report, then the goal URL is written correctly. However, if it doesn't appear, please see troubleshooting tips here. II. Regular Expression Match Search your Top Content report using your regular expression. The report filter allows regular expressions, so your goal page should appear if your regular expression is written correctly. If the goal page doesn't appear, please see the troubleshooting tips here. Tip: If the goal page doesn't appear in your Top Content report the first time you search, try modifying your search until it does appear. Then use the search result from your modified search query as your Goal URL. Troubleshooting Funnel Drop-Offs If you have funnel steps with URLs to different domains or subdomains, and the tracking code isn't customized as described in the following articles, then all visitors that go from the website in the first step to any other domain or subdomain will appear to drop off in your reports. Learn how to track multiple domains or subdomains in Section 1: Installing Google Analytics on Complex Websites. For example, suppose a funnel is setup as follows: Goal URL: www.secondsite.com/jkl.html Funnel Steps: Step 1 (You're checked off 'Required step' for Step 1 from your Goal settings page): www.firstsite.com/abc.html Step 2: www.firstsite.com/def.html Step 3: www.secondsite.com/ghi.html In this example, if the tracking code is not customized as needed for multiple domains, then users will appear to drop off at Step 2 because a new session will be created when the user goes from www.firstsite.com to www.secondsite.com. In the new session, Google Analytics will not know that the user actually visited Step 1 because it was done in the previous session. Since the first step is required in this funnel, it will also appear as if the user did not convert towards the goal, and Step 3 and the Goal URL will not be recorded in the funnel since it didn't occur in the same session. Thus, the customizations in the above articles are needed to keep the visits across all domains or subdomains in one session.

Best Practices for Google Analytics Goals and Funnels
Best Practices for Google Analytics Goals and Funnels Assign goal values to your non e-commerce site to calculate metrics like average per-visit-value and ROI. Create tabbed sets of goals so that you can structure them to help your marketing objectives Search the Top Content report for the goal page to confirm the page is properly tracked and counted as a goal. Try it Now: Confirm Google Analytics Goals are Tracked

Learn how to use the Top Content report to confirm that your Google Analytics goals are being tracked. Follow the instructions below to view the Top Content report: 1. 2. 3. 4. 5. 6. 7. Sign into your Google Analytics account at www.google.com/analytics. Select the account you wish to review. Click View report next to the profile you wish to view. Click Content from the menu categories on the left-hand side of the screen. Click Top Content. In the lower left hand corner, type the request URI of the goal URL in the "Filter Page" box and select Go. Verify that your goal page appears in your report.

Question to Consider: What is the implication if your goal page doesn't appear in the Top Content report?

12.4 Google Analytics Filters
Introduction to Google Analytics Filters
Overview of Analytics Filters Objective: Google Analytics filters provide you with an extremely flexible way of defining what data is included in your reports and how it appears. You can use them to customize your reports so that data that you deem useful is highlighted in interesting ways. Filters can also help you clean up your data so that it is easier to read. Creating Predefined Filters To create a predefined filter: 1. Click Analytics Settings. 2. Click Filter Manager.

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Configuring Google Analytics Filters
Predefined and Custom Analytics Filters

AdWords Help

There are two types of filters in Google Analytics - predefined filters and custom filters. Predefined filters Google Analytics provides three commonly used predefined filters -- you'll see these filters under the 'Filter Type' drop-downs when you are creating your filters. The first filter for excluding traffic from domains excludes or includes traffic from the domain that you specify in the Domain field directly below the Filter Type drop-downs. If you apply this filter, Google Analytics will apply a reverse lookup with each visitor's IP address to determine if the visitor is coming in from a domain that should be filtered out. Domains usually represent the ISP of your visitor although larger companies generally have their IP addresses mapped to their domain name. The second filter for excluding or including traffic from IP addresses filters traffic from addresses entered into the IP address field. This filter is generally used to exclude your internal company traffic. The third filter for filtering traffic to a subdirectory lets you control which traffic gets reported to a specified directory on your site. This is typically used on a profile that is created to track one part of a website. Custom filters Each custom filter has three main parts. I. Filter Types The first part of a custom filter is 'Filter Types.' There are six filter types available and each one serves a specific purpose. Exclude and Include filters are the most common types. They allow you to segment your data in many different ways. They're frequently used to filter out or filter in traffic from a particular state or country. Lowercase and Uppercase filters do not require a filter pattern, only a filter field. Lowercase and Uppercase filters are very useful for consolidating line items in a report. For example, multiple entries in your reports for a keyword or a URL may have the same words or URLs -- the only difference between the multiple entries is that sometimes the URL or keyword appears with a different combination of uppercase and lowercase letters. You can use the Lowercase and Uppercase filters to consolidate these multiple entries into a single entry. Search and Replace filters replace one piece of data with another. They are often used to replace long URL strings with a shorter string that is easier to read and identify in your reports. You can use Advanced filters to remove unnecessary data, replace one field with another, or combine elements from multiple filter fields. For example, a best practice when tracking multiple subdomains in a single profile is to append the subdomain name to the page names. You can do this by creating an advanced filter that appends Hostname to Request URI. II. Filter Field The second part is the 'Filter Field.' There are numerous fields you can use to create your filter. Examples of some commonly used fields are the 'Request URI' and 'Visitor Country' fields. The complete list of fields can be found through in this Google Analytics Help Center article. III. Filter Pattern The third part of a custom filter is the 'Filter Pattern.' This is the text string that is used to attempt to match pageview data. The pattern that you provide is applied to the field and, if it matches any part of the field, it returns a positive result and causes an action to occur. You'll need to use POSIX regular expressions to create the filter pattern. For more information on POSIX regular expressions, read this Google Analytics Help Center article. Regular Expressions for Analytics Filters A regular expression is a set of characters and metacharacters (characters that have special meanings in regular expressions) that are used to match text in a specified pattern. You can use regular expressions to configure flexible goals and powerful filters. For example, if you want to create a filter that filters out a range of IP addresses, you'll need to enter a string that describes the range of the IP addresses that you want excluded from your traffic. Creating Custom Analytics Filters To create a custom filter: 1. 2. 3. 4. 5. 6. 7. 8. 9. Click 'Analytics Settings.' Click 'Filter Manager.' Click 'Add Filter.' The Create New Filter page appears. Enter a Filter Name for this filter. From the Filter Type drop-down list, select Custom Filter. To select an available custom filter, click the radio button next to the one you want and complete the necessary fields. Under the 'Apply Filter to Website Profiles' section, select the Available Website Profiles to which this filter will be applied. Click Add to move the selected profiles into the 'Selected Website Profiles' list. Click Finish to create this filter and start applying it to incoming data, or Cancel to return to the previous page without saving.

If there are already existing filters for this profile, your new filter will be applied after them. To change the order, visit the Profile Settings page and click Assign Filter Order.

Troubleshooting Google Analytics Filters
Overview of Troubleshooting Analytics Filters In this module, learn about the most common issues users experience with filters and how to work around these problems. Troubleshooting Analytics Include Filters You can apply multiple include and exclude filters to a single profile, but keep in mind that when more than one filter is applied, the filters will be executed in the same order that they are listed in your Profile Settings. In other words, the output from one filter is then used as the input for the next filter. As an example, if you want to include only users from California and Texas, you cannot create two separate include filters because they will cancel each other out. The solution is to create one filter that uses a regular expression to indicate that the Visitor Region should be California or Texas.

Best Practices for Google Analytics Filters
Overview of Best Practices for Analytics Filters Use the Filter Manager to edit or add filters Maintain one unfiltered profile so that you always have access to all of your data. Create a filter to exclude your internal company traffic from your reports.

12.5 Overview of Google Analytics Reporting
Introduction to Google Analytics Reports

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Dashboard The Dashboard is your customizable collection of report summaries.

AdWords Help
Visitors The reports in the Visitors section gives you information about your site's visit quality (i.e. average pageviews, time on site, Bounce Rate) and visit characteristics (i.e. first time visitors, returning visits, where they're from). Traffic Sources These reports provide information on the different kinds of sources that send traffic to your site. "Direct Traffic" is visits from people who clicked a bookmark to come to your site or who typed your site URL directly into their browser. "Referring Sites" shows visits from people who clicked to your site from another site. "Search Engines" shows visits from people who clicked to your site from a search engine result page. The AdWords subsection gives you even more detailed reports about traffic that came from your AdWords ads. Learn more about AdWords reporting in Google Analytics in Section 6. Google Analytics Report Types. Content The Content reports can help you determine your most popular pages, and gives an overview of your overall pageview volume. Goals Once you have set your goals, you'll be able to see conversion rates and the monetary value of the traffic you receive from the Goal reports. You can also define a "funnel path" for each goal and see the information in the Funnel Visualization report. Learn more about this subject in Section 3. Goals and Funnels. E-commerce E-Commerce reports give you details about e-commerce activity on your site, with data like revenue, conversion rate, transactions, and average order value.

Creating and Running Analytics Reports To start viewing your Analytics reports, you'll need to have your Google Analytics Tracking Code properly installed on your website. Wait about 24 hours after you've installed it for data to start appearing in your reports. To look at any of your reports, just click on any of the report names underneath the six categories listed in the side navigation bar. Interpreting Google Analytics Reports Google Analytics provides dozens of detailed reports, but how do you how to process all the information? The suggestions below can serve as helpful criteria when you read and interpret your Analytics reports. Creating context for your data When analyzing your traffic, avoid focusing on just a single metric. A single pageviews result for Page A itself isn't nearly as actionable as when you look at Page A's pageviews in the context of other metrics. A good metric to consider is the Bounce Rate. It could be that half of the time people entered the site through Page A, they left the site without looking at any other pages. By comparing the pageviews to the site average, we can see what percentage Page A accounts for in comparison to the overall pageviews. You can also look at the performance of the page over time. If Page A is receiving 20% fewer visits than it did last week, people are spending 10% less time on it, and the Bounce Rate has doubled -- then that's an indicator that your site is beginning to perform poorly. You can also use the visualizations from the graphs and charts to get an at-a-glance look at your week-to-week performance. Looking for trends Analyzing trends is another useful way to bring context into your analysis. Use the graphs in your reports to show sudden peaks during a certain week, spot the difference between an increase in visits versus an increase in pageviews per visitor, etc. You can also graph two metrics at a time with the 'Graph Mode.' For example, if you compare Visits and Pageviews, you can tell whether or not visits increased proportionally to pageviews.

12.6 Google Analytics Report Types
Google Analytics Visitors Reports
Overview of Analytics Visitors Reports Objective: Read about the different kinds of visitors reports available in Google Analytics to learn how to leverage the information for your marketing objectives. Interpreting Visitors Reports Visitors Overview: How many new and returning visitors came to your site and how extensively did they interact with your content? This traffic overview allows you to drill down into aspects of visit quality (i.e. average pageviews, time on site, Bounce Rate) and visit characteristics (i.e. first time visitors, returning visits). New vs. Returning: A high number of new visitors suggests that you are successful at driving traffic to your site while a high number of return visitors suggests that the site content is engaging enough to keep visitors coming back. You can see how frequently visitors return and how many times they return in 'Recency' report and the 'Loyalty report,' both under 'New vs. Returning' in the Visitors section. Map Overlay: Use this map to visualize volume (visits, pageviews) and quality (pageviews per visit, conversion rates, per visit value, etc.) metrics by geographic region. Click on any region to zoom into the city level. Languages: Which languages do your visitors prefer to use and how do these groups of visitors differ with respect to site usage, conversions, and other metrics? This report captures the preferred language that visitors have configured on their computers. Understanding who your visitors are is crucial to developing the right content and optimizing your marketing spend. Many times, geo-location is not enough. Many countries have diverse populations speaking different languages which present important market targeting opportunities. Visitor Trending: The reports in this category help you determine how your visitors engage with your site, in addition to telling you how many of them visited. Visitor Loyalty: Loyal visitors are frequently highly engaged with your brand and a high number of multiple visits indicates good customer/visitor retention. A high number of new visitors indicates strong visitor recruitment. Browser Capabilities: Which browsers do your visitors use? Optimizing your site for the appropriate technical capabilities helps make your site more engaging and usable and can result in higher conversion rates and more sales. Network Properties: Which Internet service provider, hostname, and connection speed drove the most visits to your site? Hostnames can sometimes offer insight into which organizations are interested in your site, while connection speed can help you optimize your site so that it loads quickly for a majority of your visitors. User Defined: This report allows you to compare visitors from custom segments that you have defined. You define these segments by calling the utm_setvar function in your website code. For example, if visitors fill out a form on your site in which they provide a professional title (such as "manager," "technical specialist," "marketer"), you can call utm_setvar to capture and store their selections in the user defined variable.

Google Analytics Traffic Source Reports
Overview of Analytics Traffic Sources Reports Objective: In this module, you'll learn about the Traffic Sources reports. These reports show you where your traffic is coming from on the Internet. You can compare your traffic sources against each other to find out which sources send you the highest quality traffic. Interpreting Analytics Traffic Sources Reports Direct Traffic: Represents visitors who clicked on a bookmark to arrive at your site, or who typed the URL directly into their browser.

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AdWords Help
AdWords: AdWords-related reports are listed under AdWords in the Traffic Sources section. The AdWords Campaigns report, which is the first one listed, contains performance metrics for your AdWords keyword ads. This report is actually the top level of a hierarchy of reports. By clicking one of the Campaigns in the table, you drill down to the Ad Groups report which lists all of the ad groups in that campaign. Click one the ad groups and you drill down to the AdWords Keywords report which lists all of the keywords in that ad group.

Google Analytics Content Reports
Overview of Analytics Content Reports Objective: In this module you'll learn all about the reports in the Content section of Google Analytics. You'll also get introduced the concept of 'Bounce Rate,' an important metric indicating your page's relevance and effectiveness, as well as tips on how to use these reports to find out how engaged visitors are with your site. Interpreting Analytics Content Reports The first three reports listed in the Content section all show the same information, but each report organizes it differently. Pages in your Content reports are represented by their 'request URIs,' which is the part of the URL after the domain name. So, a forward slash ('/') represents your home page. When you create your profile, you should specify the name of your homepage as the ;Default' page. That way, instead of having forward slash show up in your reports, you'll see your homepage URI instead. Top Content: Lists each page that received traffic. Content by Title: Groups your pages according to 'Title' tag. You can click on a title to see the pages that share that title. Content Drilldown: Groups pages according to directory. You can drill down and click on a directory to see the pages in the directory. Top Landing Pages: Lists all of the pages through which people entered your site. You can use this report to monitor the number of bounces and the Bounce Rrate for each landing page. Bounce Rate is good indicator of landing page relevance and effectiveness. You can lower bounce rates by tailoring each landing page to its associated ads and referral links. The more relevant the page, the less likely a visitor will be to bounce. Navigation Analysis Navigation Analysis reports can help you understand how people move through your site. The reports are listed on the Content Overview page. They're also available from a pulldown menu when you drill down to a page detail report. Navigation Summary: The first of the Navigation Analysis reports, it can help you see how people arrived at a specific page and where they went afterwards. Percent Entrances shows how frequently the page was a landing page. Percent Previous Pages tracks how frequently visitors came to the page after viewing another page on the site. Percent Exits measures how frequently visits ended on this page, while Percent Next Pages measures how frequently visitors continued on to another page on the site. The list of pages that were viewed immediately before the page or pages is shown in the left column and the right column displays the list of pages that were viewed immediately after the page or pages. Sometimes the Previous Page, the Next Page, and the page you are analyzing are all the same page. This can be caused by visitors hitting the refresh button multiple times and generating "self-referring" hits. It can also be caused, for example, if the page has graphics that the visitor can click to enlarge. For example, a visitor views the page and Google Analytics registers a pageview. Then the visitor clicks on a graphic and views the enlarged graphic file. This doesn't result in a pageview because the enlarged graphic file doesn't have the Google Analytics Tracking Code. The visitor then clicks the back button, which registers another pageview. If there are many images on the page, it's possible that the visitor will click on each graphic. This scenario will cause the Previous, current, and Next page to all be identical. Entrance Paths: Can be used as a powerful tool for analyzing navigation paths. For example, you can use this report if you want to find out whether people clicked the 'Purchase' button on your landing page and actually completed the purchase. To find out, go to the Top Landing Pages report and click the landing page you want to analyze. Once you are on the Content Detail report for the page, click 'Entrance Paths.' You'll now see the Entrance Paths report for your landing page. In the middle column, you'll see all the possible clicks people made on the page. Choose the link that represents the 'Purchase' page. In the right hand column, you'll now see all the pages visitors went to after the 'Purchase' page. By looking at this list, you'll be able to see how many visits ended up on the Purchase Completion page. This report can show you if the landing page is doing the job you designed it for. You can use the 'Analyze' drop-down menu to view additional reports such as Entrance Sources and Entrance Keywords. The 'Content' drop-down menu allows you to select or search for specific pages to analyze.

Google Analytics E-commerce Reports
Overview of Analytics E-commerce Reports Objective: In this module you'll learn about e-commerce reports and how to interpret them. Some examples of the kind of information you can get from the ecommerce reports include: the products that were purchased from your online store your sales revenue your e-commerce conversion rate the number of times people visited your site before purchasing Interpreting Analytics E-commerce Reports Overview: The report provides an overview of e-commerce activity on your site. Revenue is the value of purchases. Conversion Rate is the percentage of visits that results in a purchase. Transactions is the number of purchase orders and Average Order Value is the average revenue from each of those purchases. Purchased Products shows how many different products (SKUs) were sold. Total Revenue: Revenue is determined by the number of purchases and the average purchase value. Some important steps you can take to maximize revenue are: 1. Purchase targeted advertising and write effective ads (see the Traffic Sources reports) 2. Make sure your landing pages show the information, services, or products that you promise in your ads (review the Content reports to help minimize bounce rates) 3. Simplify your conversion funnels so that fewer would-be customers abandon the checkout process (review the Goals reports) Conversion Rate: This report shows the rate at which visits to your site result in purchases. Tracking conversion rates over time is an effective way of determining whether your marketing and website are becoming more or less efficient at turning visitors into customers. Note that conversion rates are most useful as company-specific benchmarks against which to assess marketing and site effectiveness because conversion rates vary considerably across businesses (even within the same industry). Average Order Value: Tracking changes to the average order value over time is important to catalog sites that may change and shift which products and services they are actively marketing. Many e-commerce sites monitor this metric to see if cross promotions are working. This is an important metric that works its way into many higher level executive and shareholder reports. Product Overview (Product Performance): How much of each product do you sell? This report shows the number of items sold, the total revenue, the average price, and the average order quantity for each product you sell online. Click any SKU to drill down and view detail. Product SKUs (Product Performance): This report shows the number of items for each SKU sold, the total revenue, the average price, and the average order quantity for each product you sell online.

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Days to Purchase: How long does it take before visitors make a purchase? Understanding your sales cycle is important to the overall success of your site. This report helps you understand how long it takes to convert your visitors into customers and, by extension, the kind of content you need to create in order to reach your prospects.

Google Analytics Customized Reports
Overview of Custom Reports in Analytics Objective: In this module, you'll learn about custom reports. Custom reports allow you to create reports that show exactly the information you want to see, organized in the way you want to see it. Designing a Custom Report in Analytics When creating a custom report, think of a table. Dimensions are the rows of the table and metrics are the columns in the table. For example, if a report has two dimensions (source and keyword) in green and four metrics (pageviews, bounces, visits and revenue) in blue, then it will show pageviews, bounces, visits, and revenue for each source and keyword. Building a Custom Report in Analytics To get started, click on the Custom Reporting menu on the left hand side nevigation to get started. Once you're on the Custom Reporting Overview page, follow these steps: 1. Click 'Create new custom report.' 2. To name your report, just click on the title field, enter a report name and click 'Apply.' Make your name simple and easy to identify so that you'll be able to quickly find it in a list. You can also provide a name for the report tab. This is particularly useful if you add multiple tabs to your report. 3. The next step is to select the metrics and dimensions you want. Use the search box to find metrics and dimensions. You can also click a menu item to expand it and browse all of the available metrics or dimensions. To add a metric or dimension to the report, simply drag and drop it into the table. 4. You can add up to 5 dimensions for each custom report - one top level dimension, and up to four sub dimensions. The sub-dimensions allow a user to drill down to more detailed data. Some combinations of metrics and dimensions aren't allowed. If you see a metric or dimension greyed out, it's because the combination isn't available. 5. Once you have finished adding your metrics and dimensions, you can preview the report. Your preview will appear in a new window. 6. Click 'Create Report to finish. Viewing a Custom Report in Analytics You'll see the new report listed under the Custom Reporting menu. Now that the report has been saved, you can access it anytime. In our example custom report, we can click any of the sources to see the keywords for that source. If one of the sources is 'google' and you click on it, you can compare the search keyword performance for the Google search engine.

Troubleshooting Google Analytics Reports Data
Overview of Troubleshooting Analytics Reports Data Below are a few of the common issues users experience with Google Analytics reports. No data If you're not seeing any data in your Google Analytics reports, it's probably because visits to your webpages aren't being tracked. To learn how to resolve this issue, you'll need to correct your tracking code implementation errors. Learn more in Section 2. Troubleshooting Tracking Code Problems. Can't see graphs There are a number of reasons that you may be experiencing display problems in your reports. Oftentimes, your browser settings or outdated plugins are the cause. Do you have the most recent version of Flash installed? Flash 7.x or above needs to be installed on your browser to view Analytics reports. If you're able to see charts and graphs in one browser but not another, we recommended reinstalling the Flash plugin for the browser that is causing the problems. You can download the latest version of Flash from the Macromedia site at http://www.macromedia.com/shockwave/download/alternates/#fp Do you use Firefox as your browser? One of your Firefox extensions could be affecting the display. Try disabling your extensions in Firefox. For example, the AdBlock extension is known to cause issues, so try disabling it if you have it installed. Are you using a Linux environment? The Flash implementation for Linux can be very problematic, and users of Debian and Ubuntu seem to be especially affected. Our team is aware of these issues. However, due to the lack of updates and Flash plugin development for Linux, we're unable to support your browser and operating system combination at this time. High Bounce Rate A high Bounce Rate is most likely due to an incorrect implementation of the tracking code. People may also leave your site from your entrance page because of site design and usability issues. Correctly tagging your pages A bounce is defined as a single-page visit. If you only have one page on your site, it's expected that you'll have a high Bounce Rate because it will not register multiple pageviews unless visitors refresh your site from within their browser. Another consideration is blog sites - you'll see high bounce rates here as well, since mostly all of the content on the site will be available on the homepage. If you're seeing a high Bounce Rate even though your site isn't a blog and has more than one page, check to see that you've tagged all your pages with the tracking code. If you've only tagged your homepage, your Google Analytics account will be unable to identify any other pageviews from your site. You can use the Google Analytics Site Scan tool to verify that all pages on your site include the tracking code. Site design If your site itself is the problem, focus your efforts on redesigning entrance (or landing) pages or optimizing your landing pages with any ads they may correspond to. Learn how to experiment with site-wide changes to optimize your site with Website Optimizer. Usability issues Other factors may be solely attributed to the visitor's behavior. For example, if a user bookmarks a page on your site, visits it, and leaves, then that's considered a pageview - or bounce.

Best Practices for Google Analytics Reports
Best Practices for Analytics Reports Create context for your data Look for trends Wait 24 hours after installing your Google Analytics Tracking Code before looking for the data in your reports

12.7 Related Google Analytics Tools and Services
Introduction to Related Tools and Services
Overview of Google Analytics Related Tools and Services

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Data Sharing Settings in Analytics Benchmarking Service

AdWords Help
When customers opt in to share their data with Google, it will be used to generally improve the products we provide you. However, it will not affect a customer's own account without an additional step of explicit approval for each affected product or service. You can decide if you want to share your Google Analytics data with Google, and also have full control over how you share it with us. Visit the Edit Account and Data Sharing Settings page from within your account to opt in to sharing your data "With Google products only" or "Anonymously with Google products and the benchmarking service." Sharing Google Analytics data with Google products only If you choose to share your site's data, Google will use the data to improve the products and services we provide you. Additionally, only users who have opted to share their site's data with Google may use these new or improved services. Sharing Google Analytics data anonymously with Google and the benchmarking service If you only choose the anonymous data sharing option, Google will remove all identifiable information about your website, then combine that data with hundreds of other anonymous sites in comparable industries and report them in an aggregate form. Google will use this anonymous data to improve the products and services we provide you and enable benchmarking in your account.

Enabling the Analytics Benchmarking Service To enable the benchmarking service for your account, the Google Analytics account administrator must first opt in to share the account data in an anonymous, aggregated format. There are two ways to do this: 1. Select the option to share your Analytics data "Anonymously with Google and the benchmarking service" from the Edit Account and Data Sharing Settings page. To get to this page, click the link that says "Edit Account and Data Sharing Settings" from the Analytics Settings page (the first page you see after logging into your Google Analytics account). 2. Navigate to the Benchmarking report below the "Visitors" section of your reports. Click "Accept" directly from the Benchmarking report page. This option will only appear if you have not already opted in to share your data anonymously from the Edit Account and Data Sharing Settings page. Please allow up to two weeks for the benchmarking data to appear in your account once the data sharing settings changes have been saved. If you do not opt in to share your Google Analytics data anonymously, benchmarking will not be enabled for your account. Note that benchmarking will be enabled for all profiles in your account. Since the selection is at the account level, you cannot enable individual profiles and not others.

Using Google Analytics with Website Optimizer
Overview of Analytics and Website Optimizer Objective: In this lesson, you'll learn how to: how Website Optimizer and Google Analytics can work together the steps necessary to use Google Analytics and Website Optimizer on the same pages how to understand and troubleshoot common issues with using Google Analytics and Website Optimizer simultaneously Using Website Optimizer with Google Analytics If you're getting a lot of traffic to your site but want to see if you can convert even more customers, you can try testing your key landing pages with Google Website Optimizer. Google Analytics shows you how visitors find and use your site, while Google Website Optimizer allows you to run experiments to identify which content, design, and layout variations lead to more conversions. Start with the Landing Pages report in Google Analytics. It shows the pages through which most people enter your site. The bounce rate in this report shows the percentage of visits in which people immediately left instead of staying, browsing, and ultimately buying. The conversion rates show the percentage of visits that resulted in an activity that is important to your business, like an email signup, a download, or a purchase. To improve your conversion rates, create different versions of each landing page. You can improve the headline, or place the 'Buy' button in a more visible area of the page. Once you've planned out your strategy, sign in to your Website Optimizer account at http://www.google.com/websiteoptimizer. Create an A/B experiment and then wait for the results after launching it. Website Optimizer will tell you which version is the winner so that you can implement the winning version to your site to help increase conversions. Learn more about Website Optimizer in Lesson 12. Section 4. About Google Website Optimizer. Troubleshooting and Best Practices for Analytics and Website Optimizer Troubleshooting The issues encountered when using Website Optimizer and Google Analytics on the same pages are often related to improper implementation of their scripts. Most frequently, you'll see no impressions recorded if the Website Optimizer code hasn't been correctly modified on pages that are already being tracked with Google Analytics. If you have modified your Google Analytics code, carefully review whether you have made the corresponding modifications to the Website Optimizer code. And if you're tracking across multiple domains and subdomains, ensure that you have customized the control script to account for modifications to the cookie domain, cookie path, or cookie hash in the Website Optimizer tracking scripts. Best Practices Using Google Analytics data can help you determine what to test with Website Optimizer. Test pages One of the simplest recommendations for running successful experiments with Website Optimizer is to choose a test page that receives a lot of traffic. You can use the Google Analytics Top Content report to identify pages on your site that draw the most users. Use bounce rate to determine which pages users are departing quickly and are therefore ripe for optimization. The e-commerce section of your Google Analytics report can also help you learn whether product performance is down for any particular categories or products whose pages could use a redesign. Test content Google Analytics can also help you identify what sorts of test content might be effective on your pages. Use the keywords report to identify which keywords are driving users to which pages, when highlight those keywords in your test content on those pages. The Destination Pages report can also help you find which pages are difficult to locate on your site and which you should highlight further in your content or landing pages. Similarly, the Start Pages report will show you which pages users are performing the most searches on; you can use their specific search terms to determine what they expected to find on those pages, then use Website Optimizer to try out new versions. Conversion pages Google Analytics can also help you identify where users are dropping off in taking desired conversion actions on your site. For example, say the funnels report in the Google Analytics goals section shows you that users are leaving your conversion process or your website entirely partway through a three-page purchase process (contact details, payment details, confirmation page). You can use this information to test different successful conversions on each page throughout your purchase process to see which will be most effective in retaining users from one step to another.

12.8 Driving Improvements with Google Analytics Data
Improving Revenue and Profit with Google Analytics
Optimizing Overall Revenue with Google Analytics

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an organic search result (organic), a CPC campaign (CPC), or by a link from another site such as a blog (referral). The Goals or the Ecommerce tab from within your reports will help you determine which source drove both a high amount of revenue and a high per visit value Sales/Conversions: Analyze top-selling products along with your goal conversions Use the e-commerce reports to look at your product performance. Then, examine the data from within the Goals tab to learn what your goal conversion rate is. ROI: Analyze the areas where you should be spending in order to get a higher ROI Look at your paid keywords from within Keywords report in the Traffic Sources section. By looking at the success metrics for each keyword, you can add or delete them or adjust the bids and budget for existing keywords. You can also look at the unpaid keywords list to see if your spend in SEM has been paying off for those keywords. If you have set up Google Analytics to track your email campaigns, another report in the Traffic Sources section, the Campaigns report, can help you measure your success in this effort. Select a campaign from the list found in the table, then click the Goals or Ecommerce tab to determine which source drove a high amount of revenue and a high per visit value.

Optimizing Revenue-driving Keywords with Google Analytics One of the best reports to analyze your keyword performance with is the Keyword report, found in the Traffic Sources section. Upon looking at the paid keywords in this report, they would ideally have high visits, a low bounce rate, and a high conversion rate and revenue. For high performing keywords with great ROI, consider raising the bids and budgets for them. You can then stop or decrease the spend on low performing keywords. An alternative way to deal with low performing keywords is to optimize the landing pages for these keywords; oftentimes users don't convert well with certain keywords because the landing page doesn't match what they were looking for. If you'd like to add more keywords, try looking at your unpaid keywords from the same report. Analytics provides statistics for organic search performance, so you should be able to spot the good keywords from organic search results that are driving visits to your site. Since you aren't targeting these keywords, consider adding them to your AdWords campaigns. A quick and easy way to determine whether or not you should purchase these winning keywords is to look and see if they have low bounce rate, and a high conversion rate and revenue. Optimizing the Performance of Specific Products with Google Analytics Google Analytics can help business owners determine which products are performing well and spot their best sellers. Once these are identified, advertisers should have campaigns dedicated to popular products in their store and use high selling product names and keywords. The relevant reports to identify these products are the Product Overview or Categories reports from within your e-commerce section.

Improving Websites and Content with Google Analytics
Optimizing Page Popularity with Google Analytics Google Analytics recommends two ways to optimize page popularity. 1. Add high quality referral sites to placement target If advertisers want to target new high performing sites, the Referring Sites report from the Traffic Sources section can help them do this. Below are the step-bystep instructions: 1. After signing in to your Google Analytics account, pull up the Referring Sites report from the Traffic Sources section. This report includes all the referral sites that drove traffic. 2. The site owner may want to try visiting the top sites to see which referral site's content is highly relevant to his or her own. 3. Once the relevant sites are identified, they should be copied and pasted into the Placement Tool in AdWords to see which of those sites are available for placement targeting in the Google Display Network. Learn more about placement targeting in Lesson 4: Placement Targeting for the Display Network. 4. Create new Display Network campaigns that target just these high performing sites. 2. Find high performing keywords to add to your campaigns Another recommendation is to use the Keyword report in order to expand your campaigns and capture additional traffic on new keywords. The step-by-step instructions are once again below: 1. After signing in to your Google Analytics account, pull up the Keywords report from the Traffic Sources section. 2. There are two common ways to evaluate keyword performance: - If a person has goals or e-commerce set up, he or she should look at the Goal Conversion or Ecommerce tab. - If someone doesn't have any goals set up, Bounce Rate can be used as a key metric to determine a keyword's performance. 3. From the Goal Conversion tab, you can view several key metrics of ROI - goal counts and goal conversion rate. 4. To find high performing keywords for AdWords, you will need to focus on conversion rate. In the 'Views' section of the report, click on the small 'Comparison' icon. 5. Now, you are able to view each keyword's conversion rate compared to site average and identify the keywords with relatively high conversion rates. 6. Once you find those new high performing keywords, you can de-duplicate the keywords against existing keywords in your AdWords account. If they are not bidding on those now, it is good time to add them to your optimization. 7. Find high performing organic keywords that you can add to your campaigns while identifying which paid keywords are producing the most value for you. If you are looking at these reports for a client, export these reports as a PDF to back up your recommendations. Optimizing Site Interest with Google Analytics Please read the above section on page popularity to optimize your site's interest with Google Analytics. Optimizing Landing Page Effectiveness with Google Analytics One of the most important ways you can optimize landing page effectiveness with Google Analytics is to match your ads to the relevant destination URLs and landing pages. Use the Keywords report to identify paid keywords with high bounce rates. Then, in your AdWords account, check which destination URLs are being used for these keywords. Not every search term should land a visitor on the home page. It is obvious that if someone searches for "mens jeans" they should land on the most relevant page possible (not on a page that forces them to click more times to find the category they were looking for). Paid search can not only capture visitors, but it also gives us more control over the user experience, tailoring it to their search.

Improving Advertising and Marketing Initiatives with Google Analytics
Optimizing Product Advertising with Google Analytics Please read the previous section on Optimizing the Performance of Specific Products with Google Analytics to learn how to optimize your product advertising with Google Analytics. Optimizing Marketing Initiatives with Google Analytics In general, no reporting tool can ever be 100% accurate. You'll get the most out of web analytics if you focus on trends. Knowing that 20% more visitors converted following a marketing campaign is more powerful than knowing that exactly 10 people visited your site today. Optimizing Regional Marketing for Products with Google Analytics

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6. From here you'll be able to quickly see which states are performing best compared to the site average. Some next steps Pitch and create geo-targeted campaigns that announce new locations or encourage users to visit actual stores. Create geo-specific ad text to increase the connection with each user. Pitch a foreign language campaign (secure optimization resources first) or an English campaign targeting a different country.

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Reporting & Analysis Advanced Exam

AdWords Help

13. Optimizing Performance
13.1 Overview of Optimization
Introduction to Optimization
Overview of Optimization Optimization is the process of adjusting parts of your account -- like your keywords and ad text -- as well as your website to improve the quality and performance of your AdWords ads. Through optimization, you can help meet your advertising goals, be it to gain traffic, lower costs, or improve conversions. Based on your advertising goals, optimization can involve ad text improvements, new keywords, changes to keyword settings, strategic changes to your bids, better organization within your campaign, and changes to ad targeting options. Here are a few more examples: Campaign improvements Organizing campaigns Changing language and location targeting Changing ad delivery times and position Ad group improvements Editing keywords Editing ad text Organizing ad groups Changing bids Using keyword matching options Website improvements Changing your website to improve flow and relevancy Choosing the right landing pages

Benefits and Goals of Optimization Why optimize? Very simply, optimization makes your advertising more effective. In AdWords, this can mean a higher Quality Score, lower costs, and better return on investment. When it comes to the ongoing success of your advertising, it's crucial to optimize your AdWords campaigns. Regular optimizations can help successful campaigns stay successful. Since the online world is always changing, it's important to periodically evaluate each ad campaign and make tweaks that will help keep it running effectively. Depending on your goals and the type of changes you make, optimization can have a major impact on several aspects of performance. For example, optimization can help you achieve these benefits: more clicks and traffic to your website higher profits and improved return on investment (ROI) lower costs ability to accomplish any other advertising goals Your advertising goals, or desired results, are perhaps the most important thing to keep in mind when optimizing an account. For example, are you more interested in making sales, branding your business, or increasing traffic to your website? It's important to clearly identify and prioritize the specific goals you want to achieve with your AdWords ads, and then optimize towards those goals. This will enable you to make strategic changes to your account to improve its performance. Here are some typical advertising goals and the possible focus areas for each goal: Goal: "I want to get more clicks." Increase your ad exposure by adding relevant keywords and site placements to your ad groups while making your ad text more compelling. Goal: "I want to increase my clickthrough rate (CTR)." Focus on ad quality. Attract more clicks by refining your ads, and eliminate extra impressions by using negative keywords. Goal: "I want to improve my return on investment (ROI)." Focus on your ads and keywords to attract the right audience. Then focus on your website. Be sure your landing page and entire website is set up to let users find the specific thing being promoted in your ad. Key Strategies for Optimization It's important to know that your ideal optimization strategy will depend on the advertising goals you define for your campaigns. With specific goals in mind, you can perform strategic optimizations that are more likely to get you the results you want. In most cases, using a combination of many optimization techniques together -- such as improving your ad as well as editing your keywords -- is the best way to improve the overall performance of your account and increase your Quality Score. Here are some key strategies depending on your primary advertising goal: Improve Your ROI Return on investment (ROI) is a measure of the profits you have made from your advertising, compared to how much you've spent on that advertising. To identify and optimize your ROI, you need to measure conversion data instead of clickthrough rate, traffic, or other measures. To optimize for ROI, aim for high Quality Scores which can reduce costs, encourage conversions with enticing ads and by using the right landing pages, and target customers who are likely to convert. Lead potential customers to the most relevant page on your site Add a call-to-action in your ads to highlight the action you want customers to take Include unique selling points to make your ad stand out Allocate your budget according to performance Group highly relevant keywords and ads together so that your ad text will match a user's search Target the right region and language for your business Use Conversion Optimizer to get more conversions at a lower cost Improve Your CTR Clickthrough rate (CTR) improvement is really about making your ads more relevant to your potential customers. Optimization should focus on creating more relevant and compelling advertising to help drive more targeted traffic to your website. Filter out irrelevant searches by refining your keyword list and incorporating negative keywords where appropriate. In addition, your ad text should reflect a user's search as closely as possible. For example, if you're running on the keyword "Paris travel tours," your ad text should also highlight travel tours in Paris. Use keywords in your ad title and text to make the ads more relevant Use negative keywords to eliminate unwanted impressions that won't result in clicks Create a relevant keyword list to target when your ads will show Use keyword insertion to make your ad more relevant to a diverse audience Increase Your Clicks and Traffic If your aim is to draw as much relevant traffic to your site as possible, you may want to consider running on a broader range of keyword variations. Keep in mind, however, that running on very general keywords can negatively affect your Quality Score and increase your costs. Create keywords for unadvertised parts of your website Find new keyword variation ideas using the Keyword Tool

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Supplement your text ads with image and video ads that are great for branding messages Use Display Network placements to show your ad to people who are interested in what you sell Choose a landing page that focuses on the interaction with your brand

Overview of Optimization Tools
Types of Optimization Tools There are many free tools in your AdWords account that can be used to find optimization ideas and implement your changes. We've described a few of the most popular tools: Targeting tools: The Keyword Tool can provide you with ideas for new keywords that you can add to your ad groups. You can also find negative keywords, estimate keyword traffic, and see additional keywords that may also trigger your ads. The Placement Tool can provide you with ideas for websites and areas in the Display Network where you can show your ads. Use this tool to find placements that are relevant to your campaign and can help you reach additional potential customers. The Traffic Estimator provides traffic and cost estimates for keywords. Get estimates for a keyword's status, search volume, average cost-per-click (CPC), cost per day, and average position. The "Search terms" report and Search Query Performance report allow you to see every search query that triggered your ad. If some of these search terms have performed well, you can add them as keywords. If some terms are irrelevant, you can add them as negative keywords to ensure your ad stops showing for that search query. Optimization tools: The Opportunities tab is a central location for optimization ideas across your account. It's designed to help you discover ways to potentially improve your account's effectiveness. You review the proposed ideas and can apply the ones you like directly to your account. Website Optimizer allows you to experiment with the content of your website to determine what users respond to best. You choose what parts of your webpage you'd like to test and we'll run an experiment on a portion of your site traffic. The results can help you determine which content produces more sales or other measures of success. Conversion Optimizer uses your conversion data to get you more conversions at a lower cost. It optimizes your ad serving to avoid unprofitable clicks and gets you as many profitable clicks as possible. Tracking tools: Google Analytics shows you how people found your site, how they explored it, and how you can enhance their experience. With this information, you can improve your website's return on investment, increase conversions, and make more money on the Web. Conversion tracking helps you measure conversions (user behavior you deem valuable, such as a purchase, signup, pageview, or lead). Conversion tracking can ultimately help you identify how effective your AdWords ads and keywords are for you. You can also use conversion data to decide how much to bid for your ads on Google and the Display Network. Account statistics on your Campaigns tab can give you instant insights into your performance. With customizable columns, filtering, and segmentation options, you can focus on the data that matters to you across your account.

Optimization Tool Use Cases Here are some key benefits and potential situations when you might want to use the following optimization tools: Keyword Tool -- Use this tool to brainstorm keyword lists and find negative keywords. Use it while you're creating a campaign or any time you want to expand your keyword list. Traffic Estimator -- Find keyword traffic and cost estimates to identify potential keywords to add or to optimize your keyword bids. By using this tool, you can better forecast your ad's performance based on your CPC bid, targeting options, and other criteria. Placement Tool -- For most advertisers, a good keyword list will provide sufficient targeting. However, if you want more control over the specific sites where your ad appears, use this tool to find relevant websites and areas in the Display Network. For non-text ads like image and video ads, filter out placements that do not accept that ad type and format. Opportunities -- Consider using the Opportunities tab when looking for a fast, efficient way to find new keyword ideas or recommended budgets. The changes proposed by the tool are automated and therefore best suit advertisers who do not have complex goals and can make optimization decisions without conversion data. Conversion Optimizer -- Use this tool if your campaign focuses on conversions and you want to optimize your bids on a case by case basis. If you already have conversion tracking enabled, the tool can automatically adjust your bids to help you get you more conversions at a lower cost. Website Optimizer -- Use this tool to test changes to your website's landing page to see which is most effective in improving your conversion results. If your primary goal is improving your return on investment (ROI) and profits, Website Optimizer can help you test which elements of your website produce higher conversion rates, which in turn will help you decide which layout produces the most conversions.

13.2 Optimizing AdWords Campaigns and Ad Groups
Optimizing Campaigns and Ad Groups
Overview of Optimizing Campaigns and Ad Groups Maintaining organized campaigns and ad groups is important to the performance of your account. Organization helps you achieve your advertising goals, make edits quickly, and target your ads appropriately. By creating well-structured campaigns by theme or product, you'll gain more than just an account that's easy to manage and keep organized. You'll also have sets of ads and keywords that are directly related to each other, which helps to improve your Quality Score and to keep your costs low. A good campaign structure also allows you to: Determine which ads are generating the best traffic and conversions (like sales or leads) Monitor changes easily Have better control over budget and costs Easily locate specific keywords Easily manage and edit your campaigns When organizing your account, keep these strategies in mind: Organize your campaigns by topic. A well-structured campaign consists of tightly-themed ad groups focusing on just one product or service you offer. Create separate campaigns for each of your product lines, brands, or types of services or offerings. Each ad group should contain specific keyword lists that relate directly to the associated ad texts. When each group of keywords, ads, and landing pages all focus on the same specific theme, your advertising will be much more targeted and effective.

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Avoid duplicate keywords across ad groups. Google shows only one ad per advertiser on a particular keyword, so there's no need to include duplicate keywords across ad groups or campaigns. Identical keywords will compete against each other, and the better-performing keyword triggers your ad. Regardless of how you choose to structure your account, it's important to remain flexible in your strategy -- the structure you first envision when you begin may need further refining as you continue to optimize.

Tools and Strategies for Optimizing Campaigns and Ad Groups There are a number of ways to configure your campaigns and the ad groups within them. Here are some common ways to structure an account: Products and services: A good rule of thumb for creating an effective campaign structure is to mirror your website's structure. For example, a sporting goods store's website will likely have different sections for each type of product: possibly separate sections for women's and men's clothing with individual pages for women's pants, women's socks, and so on. This advertiser might set up one campaign for women's clothing and have ad groups for pants, socks, and other products, then a similar campaign for men's clothing. By creating campaigns and ad groups around a specific theme or product, you can create keywords that directly relate to the ad text, and ads that link directly to that product's page in your website. Performance and budgeting: One of the most common reasons to create separate campaigns in your account is to set different daily budgets. You may decide to devote more budget to some of your best-selling or most profitable products. By identifying your top performing keywords and placing these in separate campaigns, you can ensure that these keywords have sufficient budget to achieve the best results. This will also allow you to use your budget more strategically, preventing any high-traffic keywords from using all of your daily budget. Separate ad groups may be created whenever you'd like to set different maximum CPCs for keywords that may be highly competitive or that convert less often. Themes or functions: A company that provides only one or a few products or services may still want to set up separate campaigns or ad groups when the same product or service can appeal to a variety of needs. For example, a catering company may want to run separate campaigns or ad groups for weddings, corporate events, and birthdays. This way, the keywords and ad text can be highly specific and directly relevant to what a customer will be looking for. Websites: All ads in an ad group have to promote the same website. For advertisers promoting multiple companies and websites, such as affiliates or agencies, each company or website should have its own account. Geographic location: If your business serves several areas, you might create a separate campaign for each. For example, local businesses such as furniture stores, real estate developers, or car dealerships might create a campaign for each area and then a different ad group for each city or metropolitan area they cover. Similarly, international companies might create campaigns that target each country individually. For multi-country accounts, each campaign should be localized to the local language and should emphasize that services are available in that country. If you run a promotion in one specific city, you might decide to create a campaign that targets that city only. Targeting: You might want to create separate campaigns focused on the Display Network and on search. A separate Display Network campaign allows you to use settings that are more effective for the Display Network than for search, such as different bidding methods. Brand Names: A website that sells a variety of brand-name products may find that branded keywords convert better than generic product descriptions. To test this, the advertiser may want to designate separate ad groups or even separate campaigns for each brand, depending on the variety of products under a given brand label. Please note that the accepted use of branded keywords is different from country to country (see the trademark policy to learn more). Seasonal products and services: Products that are affected by seasonality should be organized into their own campaigns or ad groups so that these can be paused and resumed according to the season. For example, a flower delivery shop may run different campaigns or ad groups for Valentine's Day, Mother's Day, graduation season, and so forth. By structuring your account effectively, you'll have more flexibility in managing your keywords and ad text, controlling budgets, and setting strategic bids. If you think your account structure could use some changes, you may want to test different configurations until you feel that your account is manageable and helps you achieve your advertising goals.

Optimizing Keywords
Overview of Optimizing Keywords Your keywords should describe your products or services and relate directly to your ad text. Here are some optimization strategies for keywords: When choosing keywords, think like a customer. What terms or phrases would your customers use to describe your products or services? List any keywords that you think users might search for on Google to find your business. Keep in mind that customers may use different terms to find your product or service than the terms you would normally use. For example, one advertiser might think of his product as "nutrition bars" or "protein bars" while some of his customers might call them "meal replacement bars" instead. Choose specific keywords that relate to your business, ad group, and landing page. Keywords that are too broad can lower your performance by generating many ad impressions but few clicks. To avoid this, delete generic keywords on your list that could relate to a wide spectrum of products or services. One-word keywords are likely to be too generic, so try using two- or three-word phrases. Include variations. To help your ad show more often, include relevant keyword variations including singular and plural versions. If applicable, consider using colloquial terms, alternate spellings, synonyms, and product or serial numbers. Though broad matched keywords can automatically include potential synonyms, you can ensure that you're not missing out on relevant traffic by including variations in your keyword list. Take advantage of keyword matching options. With some keyword matching options, you'll get more ad impressions; with others, you'll get more focused targeting. Negative match keywords are an especially important part of most keyword optimizations. Use unique keyword URLs. Keyword destination URLs send users to a specific page of your website, ensuring that a potential customer arrives immediately at the page that's most to the keyword that triggered your ad. It's also important to know how keywords work in general. Here are a few tips on keyword formatting and other keyword advice: Keywords are not case-sensitive, so 'flights to new york city' is recognized as the same keyword as 'flights to New York City.' You do not have to include punctuation such as periods, commas, and hyphens. The keyword 'eye-glasses' is the same as 'eye glasses' but different from 'eyeglasses.' If your keyword is broad match, variations like this are likely to be targeted already. Avoid including duplicate keywords across different ad groups and campaigns. Only one of our ads can be shown for each search, and these duplicate keywords will compete against each other to appear. Tools and Strategies for Optimizing Keywords Use these tools to find new keywords and to identify which keywords to optimize Use the Keyword Tool to brainstorm ideas for keyword lists and find negative keywords while you're creating a campaign. Once the tool has generated some initial ideas, you can then enter the relevant results back into the tool to generate even more specific keyword ideas. Add relevant keywords to the ad group that focuses on that theme or product. Use the Keyword Analysis field on your campaign's Keywords tab to see an in-depth view of your keyword's performance, including its Quality Score on a 1-10 scale. You might want to delete keywords with low Quality Scores and add more keywords that are more like those with higher scores. If you really want to run on those keywords, consider moving them to another ad group and test them with a new ad. If they still don't perform well after one month, delete them.

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not relevant enough and are accumulating many impressions but very few clicks. For CTR, it's also very important to focus on negative keywords to prevent impressions that aren't likely to lead to a click. Along with negative keywords, consider trying different keyword matching options like phrase match to reduce the number of irrelevant searches. Optimize keywords for better ROI The bottom line for any keyword is how much value it generates compared to its cost. To determine the profitability of a keyword, you can track the conversions from that keyword with Google's free conversion tracking tool. Once you have conversion data, you can identify and delete keywords that accumulate high costs but very few conversions. Once you understand the value of each keyword, you can also increase that keyword's profitability by adjusting its CPC or CPM bid. For keywords that show a profit, increase the bid to increase exposure and generate more traffic. For keywords that aren't profitable, decrease the bid to lower your costs. Try to understand what stage within the buying cycle a user might be in. For instance, users searching with terms like "reviews" or "ratings" are probably still researching the product and might be less likely to make a purchase at that stage. To target serious buyers, you might try using keyword phrases that include conversion-related words like "buy," "purchase," or "order," and use "reviews" as a negative keyword. You can also include specific product names you sell and model numbers. Users searching on highly specific terms know exactly what they are looking for and could be more likely to convert for you. Use appropriate keyword matching options to control who sees your ads Experiment with keyword matching options. The four matching options determine which Google searches can trigger your ads to appear, helping you control who sees your ads. With broad match, you'll typically receive the most number of ad impressions. Use negative keywords to eliminate unwanted clicks Negative keywords can help increase your ROI and conversion rates by preventing your ad from showing for searches that include that word or phrase. By filtering out unwanted impressions, negative keywords can help you reach the most appropriate prospects, reduce your costs, and increase your return on investment. When constructing a negative keywords list, try to be as exhaustive as possible. However, be careful that none of your negative keywords overlap with your regular keywords, as this will cause your ad not to show for that keyword. For instance, an advertiser for a financial institution that provides loans but does not offer actual rate quotes may want to include 'rate' and 'rates' as negative keywords. However, if he wanted to include 'fixed rate mortgage' in his keyword list, he should not include 'rate' among his campaign negative keywords list. You can use negative keywords for a number of reasons: Filter out different products or services: For example, a real estate agent who is focused on selling homes may wish to include not only the negative keywords rent and renting, but also use the Keyword Tool to find ideas for variations such as rents, rental, and rentals to use as additional negative keywords. Filter out irrelevant searches: For example, an advertiser may discover that the name of one of his products also happens to be the name of a musical group. In this case, it’s a good idea to include negative keywords such as music, band, concert, tick et, lyric, album, mp3, and the pluralized versions of these words. Filter for serious buyers: Advertisers hoping to make sales may want to filter out research-oriented searches by adding negative keywords like review, rate, rating, compare, comparing, comparison, and the pluralized versions of these words. Use the Edit Campaign Negative Keywords tool to add negative keywords to an entire campaign at once.

Optimizing Ad Text
Overview of Optimizing Ad Text Ad text plays a crucial role in determining the success of your AdWords advertising. A potential customer's decision to visit your site is based solely on your ad and how it relates to what the customer is doing on the Web at that moment. The content of your ads should capture a user's attention and set your business apart. Compelling ad text can drive relevant traffic to your website and attract the type of users you'd like to turn into customers. Here are some basic optimization tips for ads: Include keywords in your ad text. Include your keywords in an ad's text (especially the title) to show users that your ad relates to their search. If part of your ad uses the same words a user searches for, that phrase will appear in bold, adding even more attention to your relevant ad. Create simple, enticing ads. What makes your product or service stand out from your competitors'? Highlight these key benefits in your ad. Be sure to describe any unique features or promotions you offer. Use a strong call-to-action. Your ad should convey a call-to-action (such as buy, sell, or sign up) along with the benefits of your product or service. A call-to-action encourages users to take the action you value most once they reach your landing page. Choose an appropriate destination URL. Relate your ad text to offers that you make on your landing page to help users complete the sales cycle. Ensure that the destination URL (landing page) you use for each ad directs users to the most relevant page within your website. Ideally, that webpage will be dedicated to the specific product or service that is highlighted in your ad. Test multiple ads in each ad group. Experiment with different offers and call-to-action phrases to see what's most effective for your advertising goals. Test variations of the same core message and see which one performs the best. If your ad serving option is set to "optimize" (the default setting), Google automatically tries to show the best performing ad more often. Tools and Strategies for Optimizing Ad Text You should test and experiment with different ad text strategies until you find what works for you and the specific message you're trying to convey. Here are a few ad strategies for common advertising goals. Optimize ads for ROI Define a clear call-to-action. A clear call-to-action is especially important if your goal is to maximize your return on investment. Guide customers towards the action they should take once they reach your site (such as "Buy Flowers for Mom!" or "Order online today"). The call-to-action should reflect the action that you consider a conversion, whether it's a sign-up, a request for more information, or an actual sale. This makes your ad feel actionable and suggests what a customer can accomplish by visiting your website. Especially for ads on the Display Network, a good call-to-action will set the right expectation for users in various stages of the buying cycle. Relate ads to their landing pages. The destination URL you choose for each ad should directly relate to the product or service described in your ad. For example, if a realtor's ad highlights apartments for sale in London, the ideal landing page should feature available apartments for sale in London rather than the realtor's homepage. Customers are much more likely to buy if they don't have to search your website for what they're looking for. Filter out unqualified clicks. If you want to separate potential customers from those who aren't ready to buy, use descriptive phrases in your ad text. For example, if your product is high-end, you can discourage bargain hunters by describing your product as "Premium Quality" or "Luxury." Similarly, filter out users who only buy via phone by including something like "Purchase online." Words like "buy," "purchase," and "order" can also help ensure that ad clicks come from qualified customers who are ready to make a purchase. Optimize ads for CTR and traffic Be descriptive. Since your ad text is your chance to communicate your offerings to each potential customer, start by clearly identifying what you're selling. Also, use the space to describe specific benefits like "60-day Returns," unique qualities like "Award-winning," or other things that make your product or service stand out from other similar businesses. Include deals and benefits. If you offer a special discount or service like free shipping, highlight this in your ad. Try to emphasize any benefits offered on your website such as "15% Off" or "Secure Online Ordering." This can help make your ad more appealing to customers and they may be more likely to click your ad to learn more.

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Optimize ads for branding

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expanded version; therefore, include relevant variations in your keyword list to get the most out of keyword insertion. When a user sees an ad with the same term they searched for, they'll be more likely to click the ad.

Try different ad formats. To promote brand awareness, try visual ad formats like image ads. Graphical messages can grab attention and allow a customer to engage with your brand. Incorporate different ad formats into your ad groups to entice a user to visit your website. Use capitalization to your advantage. Capitalize the first letter of every word in your display URL to bring more attention to your company name and brand. For example, www.CheapTireShop.com will encourage brand recognition much better than www.cheaptireshop.com. Ads that use intercapitalization can also look more professional. Track and learn from your ad performance Run an Ad Performance report and use that data to identify low and high performing ads. For high performing ads, you can try testing a small variation of that ad with different messaging or a different landing page to see if you can get even better results. If ads are low performing, you might consider deleting them or editing them to be more like your high performing ads. Depending on your goals, you might use different metrics to measure your ads' success. Remember that your ad with the highest CTR may not have the highest ROI. And when measuring an ad's ROI, consider cost-per-conversion as well as the conversion rate. It's difficult to predict what will perform best for you before you actually try it. Test out several versions of ad text to evaluate which one performs the best for your business. Keep in mind, however, that including too many different versions of an ad will make it more difficult to manage and accurately assess ad text performance.

Optimizing Language and Location Targeting
Overview of Optimizing Language and Location Targeting It's key that you choose the right targeting options for each of your ad campaigns. This helps keep your ads effective and your return on investment high. By choosing the right targeting, you will be able to reach your potential customers in the areas you serve or do business in. Your ads are targeted to reach a certain audience based on the language targeting and location targeting you chose. With this information, AdWords works to ensure that your ad appears to your chosen audience. To help assess where and who you should target, answer these questions: Where does your business sell or provide services? Who is your intended audience? All advertisers must choose a language and location to target, so it's important to understand what's right for you. Be sure to target only the languages and locations that are relevant for your business. For example, if you ship your products to locations within a certain distance of your business, target just that region. If your ads are written in French, target only users who speak French. By targeting the right audience, you'll make sure that your ads appear only to people who are potential customers. Note that your location targeting settings will affect your ads on the Display Network as well as on Google. For example, if your ad targets France, it will not be shown to users in Japan, regardless of whether the user is searching Google or browsing a website in the Display Network. Tools and Strategies for Optimizing Language and Location Targeting It's important to set your ad targeting to reflect where and with whom you do business. Here are some ways to optimize your targeting. Target the right language for your business Single language - Target the language in which your ad is written. For example, if your ad is written in English, target English-speaking users. Remember that Google won't translate your ad for you. Multiple languages - If you want to target more than one language, create a separate campaign for each language. Combine with location targeting - As people speak many different languages in many different locations, language targeting also gives you an excellent way to reach your users even if they are physically located in non-native areas. For example, if you are a company based in the UK and want to target the English-speaking population of Spain, you can set your country targeting to Spain and your language targeting to English. When we detect that a certain user in Spain speaks English, your ad can be shown. We recommend creating separate campaigns for each country and language pair. This will ensure that wherever your potential customers are located, they will see your ads in their language. Target the right location for your business Country targeting - Target countries or territories if your business or website serves a wide audience across one or more countries. This option is best suited for businesses whose services or products are available nationwide or internationally. Region and city targeting - Target regions and cities if your business serves specific geographic areas or if you want different advertising messages in different regions. With region and city targeting, you might receive more qualified clicks from a smaller, more relevant population. Region and city targeting is best used by advertisers whose audience is concentrated in defined areas. Customized targeting - Target customized areas if your ad is relevant only to a very precise geographic area where you do business. With customized targeting, your ads will only appear to customers searching for results within (or are themselves located within) the area you define. Customized targeting is best suited for advertisers with an audience in very specific areas. Targeting by Country and Territory It's common for new advertisers to target all available countries and territories in the hope of widening their reach. However, you should only consider this option if you offer services or products to users in one or more countries or territories. If you have a global business, it would make sense to target all countries and territories, ensuring that your campaigns get exposure across the world. For example, if you sell a product and can ship to anyone nationwide, you might target your campaign to the entire country. This option is good for national businesses and online retailers who sell and ship to customers nationwide. However, even these types of businesses might not want to target an entire country if they want to promote local branches, use region-specific ad text, target special offers to certain locations, or measure the success of their ads in each region separately. Targeting Internationally International targeting means that you target more than one location. For example, a business might want to target several countries where customers speak the same language (such as targeting English speakers in the United States, Canada, and Australia). Consider setting up a separate campaign for each main location (such as each country) and selecting the relevant language for each campaign. By creating separate geographic campaigns, you'll make it easier to manage your account and track each region's return-on-investment. It also means that you can create very customized and targeted campaigns by tailoring your keywords and ad text to each individual market. Make sure that your keyword list and ad text for each ad group is in one language. This ensures that the ad appears in the same language in which the keyword was entered. For example, if a user enters a keyword in Japanese, the ad will appear in Japanese.

Optimizing Display Network Placements
Overview of Optimizing Display Network Placements With managed placements, you choose individual websites within Google's Display Network where you'd like your ads to appear. To use managed placements most effectively, make sure the content of the placements is relevant to the ads in that ad group. Here are some optimization strategies for managed placements:

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pricing. CPC is generally preferred by advertisers concerned with clicks and who ultimately value clickthroughs to their website. CPM is generally preferred by those who are brand-focused and want visibility across the Web. Note that to use CPM bidding, your campaign must target the Display Network only. You can also increase your Display Network bids to help show your ad more often on the Display Network. Experiment with different bids. To improve the position of your ads, you can try increasing the maximum CPM or CPC bid for individual placements that perform well for you. Along with your ad's quality, a higher maximum bid can help your ads appear more often on your selected placements. Assign destination URLs. Placement-level destination URLs send users to a specific landing page. This can help make sure that potential customers are taken to the exact page within your website that's most relevant to the content on that placement. Group your placements by theme. Review your placements and look for themes within the overall list. Consider creating separate ad groups with highly specific ads for each of these smaller groupings. The more precisely you target your audience, the better chance of success your ad will have. Combine with keywords. Mixing placements with keywords in the same ad group can be a good way to refine Display Network campaigns. Your keywords determine whether or not your ads can appear on a placement you've chosen. Therefore, make sure that your keywords are relevant to your specific placements. If you add negative keywords to an ad group with placements, your ads will be less likely to appear on placements about the negative topics you've entered. With automatic placements, your keyword list will determine which placements on the Display Network will show your ads. To optimize where your ads can automatically show on the Display Network, focus on your keyword lists and ad text. Here are some optimization strategies for automatic placements: Use relevant keywords. The AdWords system always starts by looking through every possible page in the Google Display Network to find placements that match your keywords. Only the pages that match your keywords can show your ads. Therefore, it's very important to only use keywords that are highly relevant to your business, product, or service. Group keywords by theme. A placement is chosen based on its relevance to your entire ad group's keyword list. To optimize your performance on the Display Network, make sure your keywords share the same theme, such as describing the same product or service. If you have keywords describing several themes or products (such as roses and gift baskets, or hotels in Paris and hotels in Hawaii), separate them into different ad groups. Write ads that match your keywords. Your ad text is not taken into consideration when automatic placements are chosen for you. However, it's important for your overall success that your ad text matches the same theme as its corresponding keyword list. If your keyword list's theme is wedding bouquets, your ad will likely be placed on a site about that topic, so you won't want to show an ad about Valentine's Day bouquets.

Tools and Strategies for Optimizing Display Network Placements Find relevant placements Use the Placement Tool to select websites and other placements in the Display Network where you'd like your ad to appear. The tool appears when you create a new campaign or ad group starting with placements, or when you click the Add placements link on the Placements tab of an existing campaign. For campaigns focused on branding or traffic, think of what type of websites your target audience might visit. For campaigns focused on ROI and conversions, consider what type of website a potential customer is likely to visit when they're most likely to make a purchase or convert. Track success with Placement Performance reports The Placement Performance report shows performance statistics for your ads on specific domains and URLs in the Display Network. Use this information to optimize your placements on the Display Network and improve your return on investment. For example, use the report to find placements where your ads are earning the most clicks. If you find that your ad converts particularly well on a given website, try adding that website to your ad group as a placement, with a higher placement bid to help your ad appear on that site more often. Focus on conversions, not CTR It's important not to worry if your clickthrough rate (CTR) on Display Network sites is lower than what you're used to seeing on the Search Network. It's normal for CTR to be lower on the Display Network because user behavior on Display Network pages is different than on search sites -- users on Display Network pages are browsing through information, not searching with keywords. Remember: A low CTR on a Display Network site doesn't mean you're performing poorly. Your ad performance on the Display Network does not affect the performance, cost-per-clicks (CPCs), or position on Google search pages or on other pages in the Search Network. For these reasons, we recommend that you use conversion tracking data and ultimately your ROI -- and not your CTR -- as the true performance gauge for your placements and Display Network performance. Use performance data to refine placements Depending on your advertising goal and the kind of performance data available to you, here are some actions you might consider taking to refine your placements: If certain types of sites are performing well, add more placements that are similar. Allocate more budget to placements that are doing well. Review low-performing placements and determine if it would be better to target just a section of that site rather than the whole domain. Or, delete the lowest performing placements, especially if they are high cost.

Optimizing Bids and Budgets
Overview of Optimizing Bids and Budgets Your budget and maximum bids are tools to help you control costs while you work to get the most profit from your ads. It's important to use performance data to determine where your advertising spend will make the most impact. Then, test and analyze how you divide your spend to find the strategy that best helps you achieve your advertising goals. Your daily budget helps determine how often your ads can show throughout the day. If your daily budget is too low, your ad won't appear every time it is searched for. However, if a campaign is not limited by budget (does not consistently meet that budget), then changes to budget have no effect on campaign performance. A good budget strategy for budget limited campaigns can maximize your ad exposure and take advantage of the traffic available to you. Your bids, on the other hand, help determine your ad position on the page and your profit margins. A good bidding strategy can help ensure your campaign is profitable and can impact your overall return on investment (ROI). Here are some key things to know about optimizing bids and budgets. Understand your ROI When many advertisers invest money in an ad campaign, they typically expect to gain back that amount, and more, in profits. It's crucial that you understand what you can gain from your advertising spend. If you hope to make a profit, make sure that you take the time to analyze and track your bids and the return you receive. Note that it's your bids, and not budget, that directly impacts your ROI. Understand the relationship between cost and quality Before you consider changing your bids and budgets, make sure you understand how a good Quality Score can enhance any spending strategy. The higher a keyword's Quality Score, the lower the price you pay for each click (called your actual cost-per-click) and the better its ad position. For ads and keywords that are not performing well, sometimes a quality-related change will have more impact than a spend-related change. Optimizing for quality will nearly always benefit your budget and bidding strategy, and it can also help reduce your costs in the process. Allocate your budget according to performance An important aspect of budgeting is making sure you have appropriate budgets for each campaign. Try to prioritize your products or services and then match budgets to each campaign based on priority. If you'd like certain keywords to receive maximum traffic, make sure they're in campaigns whose daily spend isn't consistently reaching or exceeding its daily budget. If your campaign often meets its budget, there is a chance that only your more general or high-traffic keywords will trigger your ads, overshadowing keywords that might be more profitable. In this case, a new campaign can help set aside budget for those profitable keywords.

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Evaluate your keywords' value

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The bottom line for any ad or keyword is how much value it generates compared to its cost. To determine the profitability of a keyword, you can track the conversions from that keyword with Google's free conversion tracking tool or Google Analytics. With this conversion data, you'll know how profitable your keywords are with their current bids and can identify which keywords could be more successful with adjusted bids. For keywords that show a profit (such as having high conversion rates and low costs), you might try increasing their maximum cost-per-click (CPC) bids. While costs may increase, your ad position could rise and provide more ad exposure, potentially increasing your conversion rate and return on investment (ROI). In some cases, it may make sense to lower the bid for a keyword even if the keyword is profitable; by lowering the bid, you can lower the average amount paid, which may increase the profit margin for that keyword. For keywords that aren't profitable (such as having low conversion rates and high costs), you might try decreasing their bids to lower your costs. A lower bid is likely to decrease the keyword's average position, the number of impressions and clicks it receives, and as a result, the cost it incurs. Not only can this strategy improve your ROI on low-performing keywords, but in some cases, it can also free up part of your budget to invest in more valuable keywords. Optimize for ROI Use conversion tracking to track your cost-per-conversion. The cost for each conversion should be less than the amount you receive for that conversion. For example, if you receive $10 for each sale but spend $11 on clicks to get that sale, you should optimize to improve your ROI. Use advanced ad scheduling if your campaigns make more sales or other conversions during certain times of the day. By using the advanced mode in ad scheduling, you can automatically increase your CPC bids during times that are most profitable for you, and decrease your bids when it's less important that you appear in a high position. This is a great way to reduce your costs during the days and hours when you're less likely to convert users into customers. Reallocate budget from campaigns that don't convert well to high ROI campaigns that are limited by budget. If a campaign is not limited by budget (isn't consistently meeting its budget), then allocating more budget to it will have little or no effect on that campaign. Test your bids adjustments until you achieve your optimal performance. You may lower your bid too much and see conversions go down significantly, or you may raise it too much and see no changes in conversions. Through testing and measuring, you should be able find the amount that most effectively reaches your advertising goals. Set Display Network bids so you can bid separately for ads on the Display Network. If you find that you receive better business leads or a higher ROI from ads on Display Network sites than on search sites (or vice versa), Display Network bids let you bid more for one kind of site and less for the other. Use the Conversion Optimizer to get more conversions at a lower cost. The Conversion Optimizer uses conversion tracking data to get you more conversions (like sales, leads, and signups) at a lower cost. You set the maximum cost-per-acquisition (CPA) you want to pay for a sale or lead, and the tool adjusts your CPC bids to get you as many profitable clicks as possible. This can help you minimize unprofitable spend and maximize your investment on keywords that produce results. Use the Keyword Positions report in Google Analytics to help decide how to adjust your keyword bids. This report in the "Traffic Sources" section shows in which positions your ad performs best. If you learn that your ad actually converts better when it's at a lower position, consider adjusting your bids to achieve the best performing position. Optimize for clicks and traffic See the effect of different keyword bids. You can optimize your keyword bids using the bid simulator or Traffic Estimator tools. Enter a new maximum CPC amount into either tool to see how your keywords might perform at that bid amount. Increase the bids for valued keywords to improve your ad position. Because ads with higher positions tend to receive more clicks, you're likely to gain an increase in traffic. However, it's important to experiment with different bids to identify which ad positions are the most cost-effective. Appearing in the top position can seem like a great goal, but it may be too expensive and not provide you with the best return on investment. Try automatic bidding, a feature that automatically adjusts your cost-per-click (CPC) bids in order to get you the most traffic available within your budget. Experiment with a higher budget to allow your ads to show more often (only for campaigns that are currently limited by budget). If you can't increase the campaign's budget but want to increase the traffic to those ads, consider reallocating budget from some of your other campaigns. Use the recommended budget to help choose a budget amount. For budget limited campaigns, you can use the recommended daily budget to help receive as much of the traffic that's available to you. Bid to appear on the first page of paid search results. On the Keyword Analysis field in your AdWords account, you'll see a metric labeled "Estimated bid to show on the first page." This metric, also called the first page bid estimate, approximates the CPC bid needed for your ad to reach the first page of Google search results when a search query exactly matches your keyword. To maximize traffic to your ad, consider using the first page bid estimate as a basis for your bidding strategy. See what you're missing. Use the Impression Share report in your account to see the percentage of possible impressions that your ads could have received if your campaign budgets were higher. You'll see the percentage of searches your ad didn't show for due to daily budget restrictions. Use this data to consider if that missed traffic is important enough to increase your budget in order to regain those additional impressions.

Optimizing Ad Scheduling, Serving and Positions
Overview of Optimizing Ad Scheduling, Serving, and Positions For more control over the display of your ads, AdWords offers some advanced optimization features. We've outlined a few features that can help you influence the situations below. When your ads show Ad scheduling lets you specify certain hours or days of the week when you want your ads to appear. For example, you might schedule your ads to run only on weekdays or from 3:00 until 6:00 p.m. daily. With ad scheduling, a campaign can be set to run all week or for as little as 15 minutes per week. Where on the page your ads show Position preference lets you tell Google which ad positions you prefer among all the AdWords ads on a given page. For example, if you find that your ad gets the best results when it's ranked third or fourth on the page, you can set a position preference for those spots. The usual AdWords ranking and relevance rules apply, so position preference will not effect the way your ads are ranked. Position preference simply means AdWords will try to show your ad whenever it is ranked in your preferred position, and avoid showing it when it is not. Which ad shows If you have multiple ads in a single ad group, AdWords determines when to show each ad based on your ad serving settings. "Optimize" is the default setting for all your ads and means that we'll try to show your higher performing ads more often. "Rotate" will serve all of the active ads in an ad group more evenly on a rotating basis, regardless of their performance. Tools and Strategies for Optimizing Ad Scheduling, Serving, and Positions Ad Scheduling Ad scheduling can help you better target your ads by selecting the times when you want to show ads. For example, if you offer special late night deals, you can set up a campaign to show those ads only at night. Ad scheduling also includes an advanced setting which lets you adjust pricing for your ads during certain time periods. With the advanced setting, you can set a maximum of six different time periods per day, so choose carefully. For example, if you find that your ads get the best results before noon, you can set your bids higher during that time frame to try and get more impressions and clicks. Before you set up ad scheduling, understand that it does not guarantee your ads will receive impressions or clicks. The usual AdWords rules still apply, and your ads will compete for impressions with other ads as they normally do. If you schedule a campaign for very short periods of time, or only at times of great competition for the keywords or placements you have chosen, your ads may not get the chance to run very often. Position Preference This advanced bidding feature gives more control over the positioning of ads. Some advertisers find this helps them better promote their brands or earn a higher return on investment (ROI). In particular: Direct-response advertisers can target their most cost-effective ad rankings. Brand advertisers can make sure their ads run only in the most visible positions.

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In the "Advanced settings" section of your campaign's Settings tab, you can specify how you'd like the ads in your ad group to be served. Optimize (default): Optimized ad serving tries to show your higher performing ads more often than the other ads in your ad group. Performance is based on historic clickthrough rates (CTRs) and Quality Scores as compared to other ads within that ad group. By using this ad serving option, your ad group might receive more impressions and clicks overall, since higher-quality ads can attain better positions and attract more user attention. Rotate: Rotated ad serving tries to show all the ads in the ad group more evenly, regardless of which one has the best CTR. This can be a good option if you specifically want to test different ad text variations to see which message performs the best. We recommend that you stick with the default "Optimize" ad serving setting for best results.

Campaign and Ad Group Optimization Best Practices
Best Practices for Optimizing Campaigns and Ad Groups Here are a few important steps and strategies to consider for any account optimization: 1. Know your goals Before anything else, you need to understand your advertising goals. What do you want to achieve with your ads and how will you know if you succeed? For example, does a particular campaign aim to generate sales, increase traffic to your website, or promote your company's brand? If you're focused on profits, for instance, you'll want to know how valuable a click is rather than just how many clicks you're getting. By knowing your main advertising goal, you can choose optimization strategies that will best help you meet that specific goal. 2. Measure the results After performing an optimization, track what effect your changes have had. Your conversion rates, CTR, first page bid estimates, and other statistics can be good indicators of how well your ads perform. For most advertisers, the key measure of success is the return on investment (ROI). Use conversion tracking and Google Analytics to see which ads and keywords are most profitable. You can use these account statistics to compare pre- and post-optimization performance. Learn more about evaluating your account performance. An easy way to identify performance changes in your account is to create custom alerts for the metrics you want to measure. Once you've created an alert and specified the parameters of what you'd like to monitor, we'll automatically notify you when those metrics change within your campaigns and ad groups. 3. Experiment and adapt Allow your ad performance to educate you about effective strategies for achieving your goals. As you observe your ads over time, you might notice things that are working especially well or not so well. For example, if you find users aren't responding to a particular ad text, delete that ad and try something else. It's important to remember that optimization changes can take a few weeks to perform to their full potential. This is usually due to the time it takes for new or edited keywords and ads to build up their recalculated Quality Scores. Therefore, wait at least two weeks before analyzing the impact of your optimization. Also, wait a few weeks before making any other large changes to that campaign.

13.3 Optimizing Websites and Landing Pages
Introduction to Website and Landing Page Optimization
Overview of Optimizing Websites and Landing Pages Through AdWords, you can tailor your ad text and keywords in order to maximize your clicks and drive users to your website. However, getting users to your pages is only part of what you need for a successful website. If your users reach your site, but leave right away, then you're not getting significant return on your investment. To attain a high-quality, highly effective website, you'll need to optimize your website content. But where to start? First, you have to know the goals of your site. Goals are activities on your website that are important to the success of your business. Obviously, a sale is a goal if you sell online. Email registrations, requests for a sales call, or even viewings of a video are other examples of goals. If you haven't built one or more key activities into your site, then no amount of site re-working is going to help. Without goals, you'll have no way of knowing how well you meet your visitors' needs or of measuring your website ROI. Once you know your goals, then you have something else to think about: the user. Who is the audience of your website? Who are you trying to connect with? How can you guide them to take the actions you want on your site in a way they will respond to? Because it's the user reaction that will be determining whether or not you meet your goals, it's the user who should be the focus of your optimization efforts. Google also believes in focusing on the user, which is one reason we've developed Landing Page Quality Guidelines, outlined in more detail in Section 6. Policies and Ad Quality Issues. These guidelines are helpful to keep in mind when optimizing your site, as you try to balance the quality of your page with what will drive conversions. Unsurprisingly, the characteristics of a highly effective site are quite similar to those of a high-quality site. What makes pages successful are often the same things that users value -- like fast load time and unique content, two elements of high-quality landing pages. There are three primary elements of quality to keep in mind when optimizing your site: Relevant and original content: Attracts users and keeps them returning to your site. Transparency: For websites, this means being clear about the nature of your business, how your site interacts with the user's computer, and how you use a visitor's personal information. Navigability: Providing an easy path for users to find what they are looking for on your website. These three elements have an important impact on the user experience of your site. Taking the time to put yourself into a user's mindset when visiting your site is the most important thing you can do to optimize your site. However, there are plenty of more specific ways to do that as well, which we'll review in this section. Benefits of Optimizing Websites and Landing Pages There are numerous benefits to optimizing website content: Increasing ROI on your advertising Teaching you about the likes and dislikes of your customers Trying out alternatives used by competitors Breaking down preconceptions about what works Convincing your team to try something bold or different The most significant benefit, and goal, of optimizing websites is to keep users on your pages and improve your return on investment. Recent research suggests that users decide to stay on or leave your site in just a few seconds. This limited window of time in which to grab and retain a user's attention makes optimization crucial. By designing a website where users can quickly find what they want, you'll make it easier for them to reach the conversion page and take the action that means business results for you. Even if you're an advertiser who's more concerned about brand awareness than driving traffic to a conversion or landing page, it's still worthwhile to optimize that page because landing page quality can affect other factors. As a component of overall AdWords Quality Score, high landing page quality can affect your ad rank. In this way, improving landing page quality, say, by making changes to the layout of a page to improve navigability, may increase the Quality Score of an ad group. Let's use an example. Say you're advertising for a paid newsletter sign-up form that costs $30 and receives about 100 sign-ups a week. Using conversion tracking, you find that although many users are clicking your ads, you're not getting many newsletter sign-ups through the form. You can optimize your landing page so that users easily find the newsletter sign-up form when they first arrive at the page. Designing a better-performing page, even if it only increases your conversion rate by 1%, means a yearly revenue improvement of more than $1500 for you.

Basic Techniques for Website and Landing Page Optimization

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Use the Top Landing Pages report in Google Analytics to learn how well (or poorly) your landing pages are performing. You want to find pages that have both high "entrances" and a high "bounce rate." These pages are costing you a lot of visitors. To learn where users are leaving your site, review the Top Exit Pages report. With this report, you should look for pages that are designed to sell, but have high exit rates. If a product page that's supposed to persuade customers to add products to their shopping cart instead has a high exit rate, it could be a good candidate for optimization. Use the Funnel Visualization report to identify where you are losing visitors on the path to conversion. This will show you where visitors lose interest and where there may be good optimization opportunities. If the goal of your site isn't e-commerce, then you may find the Site Overlay report helpful. It will reveal which links visitors click on the most on any page. Try to improve your content mix based on what you learn from this report. Website Optimizer, which will be discussed in greater detail throughout this section, is also an excellent tool for improving the effectiveness of websites and landing pages. It automates the testing process and shows you which content will result in the most conversions. Because Website Optimizer is a free tool, using it to discover better-performing content can dramatically increase your sales without increasing your spending.

Basic Strategies for Optimizing Websites and Landing Pages Below, we've highlighted some strategies for improving landing pages on your site, as well as techniques that can be used to improve the performance of your site overall. Improving landing pages When selecting a destination/landing page for your ad, above all, make sure the page is one where users can find the product or service promised in your ad. Keep your original objectives (sales, leads, downloads) in mind. Refer to specific keywords, offers, and calls to action on your landing pages. Make sure the landing page you select provides information that is tailored to the keywords a user is searching for. For example, if users typically reach your site when an ad is displayed on the keyword "digital cameras", your landing page would perform better if it displayed information specifically about cameras, rather than taking them to your homepage or to information about televisions and video players as well. Try to use the same terminology to align your landing page copy closely with your ad text, so it will meet the user's expectations (and interests). Content Relevant and original content attracts users and keeps them returning to your site. When it comes to landing pages, relevant content means content that's related to the ad or link a user just clicked. Pages with appropriate <title> tags are easier for users to find and search engines to index. You'll also find that other sites like to link to pages with useful information, which can improve your natural search engine rankings. In some cases, less content is more effective content when there are so many choices that it becomes overwhelming. For example, if you have a long text list of individual products, try reducing the number of choices available on a page by switching to a shorter list of product categories represented by pictures. In general, swap dense blocks of text, where links can get lost, for short blurbs with important information highlighted or visually separated. In particular, streamline the text of headlines so they can be more easily scanned and understood by a user. Transparency Consider the audience, or audiences, of your site. How do you intend to build credibility and trust with them? To maximize transparency, you should openly share information about your business and clearly define what your business is or does. If your website requests personal information from the user, such as for a sign-up form, don't ask for more information than you really need, and be explicit about how the information will be used. Link to a privacy policy or give the option to limit how their personal information is used (e.g. to opt out of receiving newsletters). If you use trust seals or credibility indicators intended to make your visitors more comfortable, make sure that they're effectively located. If they're hidden at the bottom of the page, they won't build your reputation with visitors; placing them near a purchase button or shopping cart is a better choice. Where possible, also use recognizable logos. Navigation When visitors come to your site, they should be able to quickly understand how to navigate your site and find the information they're looking for. Take a look at your sitemap or navigation bar, then make sure most users are able to find what they want in three clicks or fewer. Keep your layout clean and simple, with clearly marked buttons and links that prospective customers won't have to puzzle over to understand. Buttons or links that are simply labeled (e.g. "Learn More", "Next Step", "Buy Now") can function as calls to action that gently lead visitors down the desired conversion path. Make sure these are in a high-contrast color and easy to see on the page without needing to scroll down. At the same time, try to reduce visual distractions that can confuse users or draw their eye away from the call to action, such as flashy or unrelated images. However you choose to optimize your website, imagining yourself as your prospective customer and fine-tuning your site as necessary can result in a better experience for that prospective customer, and thus better results for you. And if you find it hard to put yourself in the mindset of a customer, see if you can find a customer -- or someone who is unfamiliar with your site -- to sit with you and walk through some simple tasks on your site. Getting the fresh perspective can reveal issues or areas of confusion you might never have anticipated.

13.4 About Google Website Optimizer
Overview of Google Website Optimizer
Overview of Website Optimizer Website Optimizer is a tool that can help you improve the effectiveness of your webpages. By allowing you to test different versions of your site content and layout, you can determine what will best attract users and lead them to convert on your site. Website Optimizer does not optimize your pages automatically or offer redesigning services, but it can help you determine what content will lead to the results you want. With Website Optimizer, you can try out changes to specific parts of a page -- new headline, image, promotional text -- or experiment with entirely different versions of a page. Once you've chosen the content or layout elements you'd like to test, Website Optimizer will run an experiment on a portion of your site traffic. The tool will show some users the original content, and some users the new content, to determine which version leads users to take the desired actions on your site. When Website Optimizer has collected enough data, we'll provide you with reliable reports and a suggested course of action in order to optimize your site for maximum business results. To run Website Optimizer experiments, you'll need to think critically about your current website content and the actions users take on your site, then develop new content. If your company has a marketing team that creates copy for your website, you may wish to get their help determining what to test and creating test content. Running experiments also often requires the assistance of a webmaster or site administrator, who will implement the experiment code on your site that will enable Website Optimizer to vary your traffic to the different versions of your page. Website Optimizer can be used with all traffic to a website, not just visitors through Google search results or through an ad or with paid traffic. Benefits and Goals of Using Website Optimizer Many users drive traffic to websites and landing pages without ensuring that the content or layout on those pages is optimized. Click and conversion tracking data from products like Google Analytics can help you gain insight into user behavior on these pages. However, if users are reaching your pages, but you aren't getting the results you want, this data won't tell you how to make your content more effective. The only way to figure out what content and layout will work best on your site is to test different versions. Website Optimizer will help you study the effects of different content on your users. Experiments with Website Optimizer will enable you to identify what users respond to best so you can create a website that will be more effective in getting the business results you want. The goal of testing new content with Website Optimizer is to give you a clear path to improving your site to increase your conversion rate and your return on investment.

Understanding Website Optimizer Reports
Overview of Website Optimizer Reports Once an experiment begins running on your pages, Website Optimizer will show the data being collected in your reports. The statistics available in Website

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Another likely cause of discrepancies is differing session lengths. Sessions aggregate activity by a visitor over a length of time, so that stats reflect the activity of a single visitor. Website Optimizer uses a more extended session length than analytics tools, so it may record a different number of conversions for each visitor. Unless your test page receives very little traffic, you should see statistics show up within a few hours of when you start the experiment. If you're not seeing data show up within a few hours, it's likely the tags were not correctly implemented on one or more of the pages you're testing.

About Website Optimizer Combinations and Variations Reports The same data is reported in the variations report, which is displayed for A/B experiments, and the combinations report, which appears for multivariate experiments. For A/B tests, information is collected for each alternate page variation; for multivariate tests, it is collected for each combination. These are the columns you'll see for the variations or combinations reports: Estimated conversion rate provides the most immediate insight into overall performance. This column shows how well each combination or variation is performing relative to your original content. It displays the numerical data, as well as a colored performance bar for each combination to visually indicate its estimated conversion rate range. As your experiment progresses, you'll notice that the performance bar changes colors. Here's what those colors mean: Green: We're confident that this combination is doing better than the original. Yellow: This combination could be doing a bit better or worse than the original, but there isn't enough data to be sure yet. Gray: This combination is performing at the same level as the original. Red: This combination isn't doing as well as the original. The chance to beat original column displays the probability that a combination will be more successful than the original version. When numbers in this column are high, around 95%, that means a given combination is probably a good candidate to replace your original content. Low numbers in this column mean that the corresponding combination is a poor candidate for replacement. Observed improvement displays the percent improvement over the original combination or variation. Because this percentage is a ratio of the conversion rate of a combination to the conversion rate of the original column, it will often vary widely. We suggest that you only concentrate on the improvement when a large amount of data has been collected and it can be considered more reliable. Conversions/visitor is just that -- the raw data of how many conversions a particular combination or variation generated, divided by the number of visitors. When the experiment has been running long enough to gather enough data, and Website Optimizer can clearly tell that one variation or combination is performing well, you'll see your report show an alert that a high-confidence winner has been found. This alert lets you know that one or more of the combinations or variations you are testing (depending on the type of experiment) has significantly out-performed your original content. Try it Now: Review a Variations Report for an A/B Test

Learn how to review a variations report for an A/B test in your Website Optimizer account. After you've completed an A/B test, you can follow the instructions below to review a variations report and analyze the data. 1. Sign into your Website Optimizer Account at www.google.com/websiteoptimizer. 2. In the Status column, select View Report for the A/B test you'd like to review. 3. Select the Variations tab and review data. Questions to Consider: 1. How well is each variation performing, compared with your original content? 2. Does your report show an alert about a high-confidence winner? What's the significance of this alert?

About Website Optimizer Page Section Reports Page section reports are provided for multivariate tests, not for A/B tests. In contrast to combinations and variations reports, which relate to your content performance as a whole, the page section report focuses on which variations within each page section of a multivariate test performed best. In addition to the columns shown for variations and combination reports, page section reports show one additional column: relevance rating. Relevance rating shows how much impact a particular page section has on your experiment. For example, if your headline page section showed a relevance rating of 0, you'd know that the headlines you used didn't have much effect on increasing or decreasing conversions. Alternatively, a relevance rating of 5 for your image page section would show that there were one or more images which significantly differentiated themselves from the others, and that the images page section is important for conversions. When viewing page section reports, keep in mind that choosing the highest-performing variation from each page section may not lead to the best results on your pages. Because there are interactions between the different variations in a multivariate test, it's better to take action based on the performance of combinations, rather than page sections. However, page sections with a high relevance rating may be good to study further in later experiments, since they have a notable impact on the actions users take. Try it Now: Running a Page Section Report

Learn how to review a page section report for a completed experiment within your Google Website Optimizer account. Once an experiment is run, you can follow the instructions below to review a page section report, analyze the data, and identify changes you can make to your account. 1. Sign into your Website Optimizer Account at www.google.com/websiteoptimizer. 2. In the "Status" column, select View Report for the multivariate test you'd like to review. 3. Select the Page Sections tab and review data. Question to Consider: 1. In what page section did you receive a low relevance rating? What action might you consider taking? 2. In what page section did you receive a high relevance rating? What action might you consider taking? 3. Are the winning combinations from the combinations report (select the Combinations tab) the same as the individual winners for each section in the page sections report? If not, why do you think that is?

Getting Started with Website Optimizer
Overview of Experiments with Website Optimizer The intent of all Website Optimizer experiments is to find the best-performing content for your page. What specifically "best-performing" means can vary from one page to another, depending on the goals of your site. A few examples: an e-commerce site can test whether users complete a purchase more often when they see pictures of the product or people a newsletter site can test if the headline "Cheap Widget Fixes" gets more paid sign-ups than "Fix Your Widget Fast" or "Need a Widget Fix?" a forum site can test whether more visitors register if the "Join Now" button is displayed on the right or left You can run two types of experiments with Website Optimizer: A/B tests and multivariate tests. Both types of tests help measure customer reaction and improve return on investment. However, there are differences that make one test better than the other in certain situations.

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The type of test that you should choose depends on the type of website you have, and what you want to test. The steps involved in setting up an experiment are similar for both types of tests: 1. 2. 3. 4. 5. Identify the pages to test Create alternate content Add the experiment tags to your pages Run the experiment Study the results.

Identifying Webpages and Site Content for Experiments When running an experiment, before doing anything else, you should choose the pages that you want to test. There are two essential pages to identify: your test page and your conversion page. Your test page is the page that you'll be optimizing by making changes with Website Optimizer. To get results quickly, you want to choose a test page that receives a significant amount of traffic. Most importantly, your test page needs to have an impact on whether or not users take a desired action on your site, like a purchase, download, or sign-up. This action can often be in the form of a link to another page on your site, possibly your conversion page. Your conversion page is the page that represents business results for you -- whether it's the page where a user makes a purchase, fills out an interest form, or downloads a white paper. When choosing a conversion page, consider the ultimate goal for users on your site. For example, if you want to measure what content on a product information page leads users to make a purchase, then your conversion page should be the final "thank you" page displayed when a purchase is complete. Or, if your purchases happen rarely or require offline interaction such as speaking with a sales representative, you can measure conversions based on intent to purchase. A conversion could be clicking a "More information" link, staying on a product page for a certain time period, or using click-to-call. After selecting these pages, identify what specific content you'd like to try out on your test page. Common elements to test include headlines, layout, styles, images, promotional text, and conversion incentives. What you want to test will determine which type of test you will run: A/B or multivariate. To try out different layouts, move around sections of the page, or change the overall look and feel of a page, an A/B test is typically the right choice. A/B tests allow you to test two or more entirely different versions of a page, and give you complete design freedom. To test several variations on several sections of your page at once, a multivariate test is usually the best selection. Multivariate tests give you the flexibility to test several headlines simultaneously with several images, for example. Once you've identified your pages and the type of test you'll run, the next step is to create the alternate content. For A/B tests, that's the alternate page variation -- the new layout or design of your page. For multivariate tests, it is the variation content for each page section -- for instance, the three new lines you want to try in your headline. During the experiment, visitors will see either the original content or the new variations you've created. This is so the experiment can determine which content leads to more people taking the desired action and reaching your conversion page. We'll show these results in your Website Optimizer reports. Try it Now: Using Google Analytics to Determine Webpage and Site Content

You can review Google Analytics data to help you decide which webpages you may want to test using Website Optimizer. Follow the instructions below to run a "Top Landing Pages" report and analyze performance data. 1. 2. 3. 4. 5. Sign into your Google Analytics account at www.google.com/analytics. Click Content from the menu categories on the left-hand side of the page. Select Top Landing Pages. Above the table to the right, locate Views. Select the fourth option, which will display a comparison of the Bounce Rate for the top landing pages with the site average.

Questions to Consider: 1. What is the ultimate goal of your site? Do your top landing pages direct visitors to that goal? 2. Which landing pages have a higher Bounce Rate than your site's average? Which pages have a lower Bounce Rate?

13.5 Using Google Website Optimizer
Planning Experiments with Website Optimizer
Overview of Experiment Goals with Website Optimizer The simplest type of conversion to track with Website Optimizer is visits to a conversion page (such as a purchase confirmation page). However, not all conversions result in visiting a single different page. You can also track other types of goals: Time on page: If you want users to complete a particular action on your page that can be best measured through time -- such as reading an article completely -- you may find this goal is best tracked using time on page as a conversion goal. This method can also be used for online demos, videos, or other pages that don't receive a lot of traditional conversions. You can use a JavaScript function to measure time on page as a conversion. Tracking all movement past the landing page: To find out which content encourages visitors to navigate deeper into your site from your landing page, Website Optimizer lets you specify multiple conversion pages for a single test page. In this case, you don't particularly care which page they're visiting, but rather that they're not leaving your site after viewing your landing page. Form submission: Some conversions mean a click of a button, or another action on the current page that doesn't involve linking to another page. In this case, it is possible to track a conversion when a user clicks your "Sign up!" button or link, even if the URL of your page does not change. Tracking multiple types of conversions: In some cases, you may have more than one type of conversion that you'd like to count in an experiment -such as a purchase and a mailing list signup. Even if you're not concerned with the specific action that they're taking, just that they're taking action, you can track all types of conversions. The different conversions will be added together in the report and they will not be tracked separately. Keep in mind, however, that Website Optimizer will only report one conversion per visitor. For example, let's say your experiment is tracking both newsletter sign-ups and product purchases as conversion events. If a visitor completes both of these conversion events on your site, Website Optimizer will only count one conversion. This way, you can see which of your test pages leads to the most users to complete a conversion, regardless of the conversion type. Preparing Site Content and Webpages for Experiments After identifying your test page, the type of experiment that you'd like to run, and the goal actions that you'd like users to complete on your site, it's time to create the site content that you'd like to test in the experiment. If you plan to run an A/B test, this is the alternate variations of your test page -- your page with the new layout or colors. If you plan to run a multivariate test, this is the new variations for each page section you've identified -- maybe several new headlines and images you want to try. When coming up with your new content for initial tests, it's helpful to start with variations that are significantly different from the original content. Often, you'll get inconclusive results if the test content is quite similar to the original content. When you try more intriguing, even provocative content, visitors will likely have very different reactions to each variation. The goal of the experiment is to find out which reaction is most advantageous to you. Here are some suggestions for specific types of content changes: Headlines: Use your headline to test different pitches and see how highlighting different benefits of your product or business affects your results. From a style standpoint, you can also try short or long pitches, question versus statement, and formal versus informal tone. Make sure to include any keywords that you're using to drive traffic to the page. Images: Use your images to find out whether your users respond better to graphics or photos, personal or product-focused. Try testing a graphic design, a picture of your product, and a person using your product. You can also consider big versus small, and photo versus illustration.

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Running A/B Experiments with Website Optimizer
Overview of A/B Experiments

AdWords Help

An A/B experiment allows you to test the performance of two, or more, entirely different versions of a page. A/B tests are a good choice if you want to move around different things on a page, want to change the overall look and feel of your page, or have a low amount of traffic and want fast results. A/B tests are the simpler version of testing with Website Optimizer. When running an A/B test, your goal will be to identify the alternate page variation that most outperforms your original test page. After you've identified the test and conversion pages you'd like to include in the experiment, create your test content. For A/B tests, this is the entirely new versions of your test page that you'd like to try out. During your experiment, we'll show some of your users the original page, and some of your users the alternate pages you've created. Once you've created your alternate pages, there are two additional steps before you can launch your experiment and see the results. Install tags to experiment pages Preview your experiment Note that there are situations in which the A/B testing interface won't allow you to make desired customizations -- experiments that span multiple domains, for example. In these situations, Website Optimizer supports a more manual implementation of A/B testing through the multivariate experiment creation flow. Installing Tags for A/B Experiments After creating your experiment pages, the next step is to tag your pages with the Website Optimizer script, then validate that the pages have been tagged correctly. For A/B experiments, you'll need to add tags to your original page, all test page variations, and your conversion page. There are three different scripts used to tag your pages, each with a different purpose. Control script: The control script communicates with Google's servers to retrieve alternative page information and ensures that individual users are tracked properly, by showing them the same variation each time and by not double-counting their visits should they come back to the page at a later time. This also controls how your traffic is redirected to the alternate pages. Tracking script: The tracking script sends pageview information to Google, so that visits will be recorded in your reports. This script contains an account number that's unique to your experiment. Conversion script: Similar to the tracking script, the conversion script sends pageview information to Google, so that a conversion will be recorded in your reports. This script contains an account number that's unique to your experiment. You'll need to place these scripts in specific locations within the HTML source code of your pages. Once all of your pages have been tagged and uploaded to your server, you must validate the installation. Website Optimizer will visit your pages and check for correct installation of your code. If there are problems with the code, you'll be notified of the error and told on which page the error occurred so you can correct it. If your pages are not externally visible, or your robots.txt file is blocking our crawler, then we won't be able to visit your pages for validation purposes. As an alternative, you can upload the HTML source of your pages and upload it into the Website Optimizer tool for offline validation. After the tags have been installed and validated, you'll want to preview your experiment. Previewing and Starting A/B Experiments Before starting your A/B experiment, preview your test page variations in all popular web browsers to ensure there are no layout or markup issues or errors. You can preview your variations within the tool before you launch your experiment, or simply visit the URLs of the variation pages you have created for your experiment. If your test page is behind a login, keep in mind that you may not be able to preview the variations within the Website Optimizer interface. You'll need to visit your live site and navigate through your pages in order to confirm that the test pages are appearing properly. When you've ensured that your variations look as they should, you can start your experiment. Once you've started it, we'll vary traffic to your original page and your alternate versions, to see what users respond to best. Running and Revising A/B Experiments Once your experiment is running, Website Optimizer will begin collecting conversion data and displaying it in your reports so you can see how the content is performing. While the experiment runs, you have several options. Pausing: You can pause your experiment at any time to temporarily stop Website Optimizer from displaying test variations and collecting data for new users. While your experiment is paused, new visitors to your site will see your original page content, and previous users will see whichever variation they saw previously. You can resume it anytime. Editing: Some changes are possible to make while an experiment is running. You can disable a variation manually or through the auto-disable feature, which will stop it from appearing on your pages. Once a variation has been disabled, you can't re-enable it. You can also change the amount of traffic sent through the experiment. Some changes aren't possible to make while an experiment is running, like updating a variation. In this case, you can stop your experiment and run it again using the copy feature. A new experiment is created with the same variations as the original, which you can change prior to launch to perform a slightly different test. There's no need to reinstall the tags on your pages in order to launch a copied experiment. Stopping: If you wish, you may stop an experiment entirely. Website Optimizer will stop serving different variations to your pages and collecting data for both old and new users. You can choose which variation you'd like to display until you remove the experiment tags from your pages. You can't restart experiments that you've stopped. You'll often stop an experiment when you're ready to make changes to your site based on the information collected in your reports. Interpreting and Responding to A/B Report Data For A/B tests, you'll see a variations report, which shows conversion data for your original content along with your alternate page variations. The column to pay attention to in this report is your estimated conversion rate, which reflects how well each variation is performing relative to your original content. When you start running an experiment, there likely won't be enough data to make conclusions for some time. The amount of time for an experiment to collect enough data varies depending on the number of variations you're testing, the conversion rate on your page, and the amount of traffic you receive. Conversion rate range bars will start to appear for each variation after that variation has received at least 5 conversions. When an experiment has been running long enough to gather enough data, and Website Optimizer can clearly tell that one variation is performing well, your report will show an alert that a high-confidence winner has been found. This alert lets you know that one or more of the variations you are testing has significantly outperformed your original content. In this case, we recommend that you stop the experiment and replace your original content with the content of the most successful variation. If your report shows that the results were inconclusive, then either Website Optimizer wasn't able to sample a significant number of users, or there wasn't a significant difference between the variations tested. In this case, we suggest you edit and run your experiment again with some changes or try a test page that receives more traffic. If you're seeing no data for some pages in your reports after more than a day, make sure you've tagged everything: the original page, the test page variations, and the conversion page. The Website Optimizer Troubleshooting section of this lesson also includes details for fixing issues that would result in no data appearing in your reports.

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experiment and see the results. Installing tags to experiment pages Adding variations for each page section Previewing your experiment

AdWords Help

When running a multivariate test, your results will show information about the performance of each individual combination. The total number of combinations depends on how many sections and variations you have. For example, if you are testing several sections, each with a different number of variations (3 headlines, 4 images, 2 button text variations), you will have many ways to put these variations together -- Headline A + Image C + Button B, for example -- resulting in 24 total combinations (3 x 4 x 2 = 24). When running a multivariate test, your goal will be to identify the combination that most outperforms your original test page. Installing Tags for Multivariate Experiments After identifying your experiment pages, the next step is to tag your pages with the Website Optimizer script and then validate that the pages have been tagged correctly. If you're running a multivariate experiment, you need to add tags to both your test page and your conversion page. There are several different scripts used to tag your pages, each with a different purpose. Control script: This script communicates with Google's servers to retrieve alternative page information, and ensures that individual users are tracked properly, by showing them the same variation each time, and by not double-counting their visits should they come back to the page at a later time. Tracking script: This script sends pageview information to Google, so that visits will be recorded in your reports. It contains an account number that's unique to your experiment. Section script: This script identifies which sections of the page will be varied for the experiment and manages the variations. Conversion script: Similar to the tracking script, the conversion script sends pageview information to Google, so that a conversion will be recorded in your reports. This script contains an account number that's unique to your experiment. You'll need to place these scripts in specific locations within the HTML source code of your pages. Once all of your pages have been tagged and uploaded to your server, you must validate the installation. Website Optimizer will visit your pages and check for correct installation of your code. If there are problems with the code, you'll be notified of the error and told on which page the error occurred so you can correct it. If your pages are not externally visible or your robots.txt file is blocking our crawler, then we won't be able to visit your pages for validation purposes. As an alternative, you can upload the HTML source of your pages into the Website Optimizer tool for offline validation. After the tags have been installed and validated, you'll want to add the variations for each page section. Adding or Changing Multivariate Variations In a multivariate experiment, the variations are the alternate content that you're testing for each page section. Most commonly, Google will host these variations, but you can host them on your own site, if you prefer. If you choose Google hosting, add the variations into the Website Optimizer tool. In the tool, each variation will start with the original content as a base that you can edit. As you add new variations, the total number of combinations increases. For example, in an experiment with two page sections (headline and image) and one variation for each section, you'll be testing four combinations: original headline + original image original headline + new image new headline + original image new headline + new image Keep in mind that as you add more variations to your experiment, you'll need either more traffic or more time to get useful results. Until you start the experiment, you can add, change, or remove the variations. After your experiment begins, you can no longer change the variations, since this would affect the results of the experiment. Once all your variations are included in the Website Optimizer tool, you're ready to preview and start your experiment. Previewing and Starting Multivariate Experiments After creating your alternative content for each page section as variations in the Website Optimizer interface, your next step is to preview the combinations of those variations that will display to your users. Website Optimizer offers an interface within the tool for previewing the variations you just entered. Using this interface, you can view each of the potential combinations that your visitors might see. Review all the combinations in the experiment and ensure that the variation content is being properly displayed. Be aware that if your test page is behind a login, you may not be able to preview it within the Website Optimizer interface. You'll need to visit your live site and navigate through your pages in order to confirm that the test combinations are appearing properly. For a multivariate experiment, you may need to manually enter parameters onto your test page URL to define the specific experiment and combination (for example, #utmxid=Experiment_ID;utmxpreview=Combination). When you've ensured that your variations look as they should, you can set the percentage of traffic to include in your experiment and decide whether to automatically disable losing variations. Then, launch your experiment. Once you start your experiment, we'll vary traffic to your original page and your combinations, to see what users respond to best. Running and Revising Multivariate Experiments Once your experiment is running, Website Optimizer will begin collecting conversion data and displaying it in your reports so you can see how the content is performing. While the experiment runs, you have several options. Pausing: You can pause your experiment at any time to temporarily stop Website Optimizer from displaying test combinations and collecting data for new users. While your experiment is paused, new visitors to your site will see your original page content, and previous users will see whichever combination they saw previously. You can resume it anytime. Editing: Some changes are possible to make while an experiment is running. You can disable a combination manually or through the auto-disable feature, which will stop it from appearing on your pages. Once a combination has been deleted from an experiment, you can't re-enable it. You can also change the amount of traffic sent through the experiment. Some changes aren't possible to make while an experiment is running, like updating a combination. In this case, you can stop your experiment and run it again using the copy feature. A new experiment is created with the same page sections and variations as the original, which you can change prior to launch to perform a slightly different test. Unless you need to change the page sections, there's no need to reinstall the tags on your pages in order to launch the copy. Stopping: If you wish, you may stop an experiment entirely. Stopping an experiment will stop serving different combinations to your pages and collecting data for both old and new users. You can choose which combination you'd like to display until you remove the experiment tags from your pages. You can't restart experiments that you've stopped. You'll often stop an experiment when you're ready to make changes to your site based on the information collected in your reports. Interpreting and Responding to Multivariate Report Data For multivariate tests, you'll see a combinations report, which shows conversion data for your original content along with your combinations, and a page sections report, which shows the impact of each page section and variation at a more granular level. The more complicated your experiment, the more combinations you'll see in your combinations report (for example, 6 headlines x 4 images x 3 taglines = 72

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AdWords Help
When an experiment has run long enough to gather sufficient data, and when Website Optimizer can clearly tell that one combination is performing well, your combinations report will show an alert that a high-confidence winner has been found. This alert lets you know that one or more of the combinations you are testing has significantly outperformed your original content. In this case, we recommend that you stop the experiment and replace your original content with the content of the most successful combination. If your report shows that the results were inconclusive, then either Website Optimizer wasn't able to sample a significant number of users, or there wasn't a significant difference between the variations tested. In this case, we suggest you edit and run your experiment again with fewer combinations or bolder variations, or try a test page that receives more traffic. For inconclusive experiments, relevance rating can be helpful to determine where to focus your attention because it shows how much impact each page section had on your users. Sections with a high relevance rating (4/5 or 5/5) could be good candidates for further experimentation because they have a notable impact on the actions users take. Sections with a low relevance rating (0/5 or 1/5) didn't have much effect on increasing or decreasing conversion rate. You may want to try some bolder variations for these sections in future experiments to draw out user reactions. If you're seeing no data for some pages in your reports after more than a day, make sure you've tagged everything: the original page, the test page sections, and the conversion page. The Website Optimizer Troubleshooting section of this lesson also includes details for fixing issues that would result in no data appearing in your reports.

Using Website Optimizer with Google Analytics
Benefits of Using Website Optimizer and Google Analytics Together You can track your site with Google Analytics while you are running a Website Optimizer experiment. You'll need to set up Google Analytics separately from your Website Optimizer experiment, because the Google Analytics tags, though similar to those used in Website Optimizer experiments, are different. Overall, Google Analytics and Website Optimizer are similar but different. Both give you information about user behavior on your pages. However, while Google Analytics simply tells you what's happening on your site, Website Optimizer can help you take action. You can use Google Analytics to track your site traffic and identify where you might want to make improvements, but Website Optimizer will give you the tools you need to improve your site and get convert users into customers. When you sign up for Website Optimizer, we automatically assign an Analytics account for use with your experiments. You can use an existing Google Analytics account, or set up a new one to use specifically with Website Optimizer. Website Optimizer requires this in order to use the Google Analytics tracking technology to collect experiment data. You won't need to interact with Analytics to use Website Optimizer. Using Website Optimizer with Analytics doesn't conflict with any other tracking software you may be using. If you set up Analytics and Website Optimizer correctly, then they should not interfere with each other, and in most instances you shouldn't need to disable one in order to use the other. Combining Website Optimizer and Google Analytics Scripts Google Website Optimizer uses code very similar to Google Analytics code to track and control your experiments. If your site is being tracked with Google Analytics, your Analytics code and your Website Optimizer code can coexist peacefully -- although they may need a few small adjustments to each code snippet. When using both scripts on the same page, just paste the Website Optimizer script after the Analytics script. If you've customized your Google Analytics tracking scripts, in most cases you'll want to customize your Website Optimizer tracking scripts the same way. You must make specific modifications for multiple domains, multiple subdomains, and other tracking scripts in Google Analytics. In addition, you'll need to customize your control script if you've customized your cookie domain, cookie path, or cookie hash. View detailed instructions. Interpreting Data from Website Optimizer and Google Analytics Google Analytics and Website Optimizer both track user behavior on your pages. In addition, neither Google Analytics nor Google Website Optimizer measures solely AdWords traffic. Even so, it's common to see variations in their statistics. One reason for this is if you've limited your traffic allocation for a particular experiment -- for example, if you've included only 50% of your page traffic in a test. In this case, Website Optimizer won't track all the conversions tracked through Google Analytics on the same pages. In addition, Website Optimizer only counts unique conversions, unlike Analytics. With Website Optimizer, a single visitor can only convert once, even if they return the following day, week, or month. Also, Website Optimizer only counts conversions for visitors who first visited the test page. If a user converted through another route on the site, the conversion will be counted in Google Analytics, but not Website Optimizer. When using Website Optimizer and Google Analytics together, we encourage you to create a filter in Analytics to exclude your test data from your other profiles. You may also wish to create an extra profile where you only measure your test pages. Finally, to evaluate the test outcome on different visitor segments, you can create Advanced Segments and extra goals in your testing profile relevant to the test. Troubleshooting Website Optimizer and Google Analytics Together The issues encountered when using Website Optimizer and Google Analytics on the same pages are often related to improper implementation of their scripts. Most frequently, you'll see no impressions recorded if the Website Optimizer code hasn't been correctly modified on pages that are already being tracked with Google Analytics. If you've modified your Google Analytics code, carefully review whether you have made the corresponding modifications to the Website Optimizer code. And if you're tracking across multiple domains and subdomains, ensure that you've customized the control script to account for modifications to the cookie domain, cookie path, or cookie hash in the Website Optimizer tracking scripts. Another common issue involves the interaction of Website Optimizer code with the code for Google Analytics e-commerce tracking. If you're tracking ecommerce with Google Analytics, you may find that your Website Optimizer code has affected e-commerce data. Website Optimizer uses Analytics accounts to track experiments, and the additional Analytics account information can pollute your data. To fix this, modify your Website Optimizer code to temporarily turn off Google Analytics e-commerce tracking whenever Website Optimizer tracks a page. That way, you can use both Google Analytics e-commerce tracking and Website Optimizer tracking on the same page. Best Practices for Using Website Optimizer and Google Analytics Together Google Analytics data can help you determine what to test with Website Optimizer. Test pages One of the simplest recommendations for running successful experiments with Website Optimizer is to choose a test page that receives a lot of traffic. You can use the Google Analytics Top Content report to identify pages on your site that draw the most users. Use the bounce rate to determine which pages users are departing from quickly and are therefore ripe for optimization. The e-commerce section of your Google Analytics report can also help you learn whether product performance is down for any particular categories, or identify products whose pages could use a revamp. Test content Google Analytics can also help you identify what sorts of test content might be effective on your pages. Use the keywords report to identify which keywords are driving users to which pages, then highlight those keywords in your test content on those pages. The Destination Pages report can also help you find which pages are difficult to locate on your site and which you should highlight further in your content or landing pages. Similarly, the Start Pages report will show you the pages where users are performing the most searches; you can use their specific search terms to determine what they expected to find on those pages, then use Website Optimizer to try out new versions. Conversion pages Google Analytics can also help you identify where users are dropping off in taking desired conversion actions on your site. For example, say the funnels report in the Google Analytics goals section shows you that users are leaving your conversion process or your website entirely partway through a three-page purchase

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1. 2. 3. 4. 5.

AdWords Help
Follow the instructions below to run a Keywords report and then analyze performance data. Sign into your Google Analytics account at www.google.com/analytics. Click Traffic Sources from the menu categories on the left-hand side of the page. Select Keywords and review the data. Click the second drop-down menu at the top of the table and select Landing Page. Review the top keyword and landing page combination.

Questions to Consider: 1. Which keywords are driving users to specific pages? And which actions can you take based on this data? 2. Take a look at your top keyword/landing page combination. Which other landing pages does the keyword lead to? Likewise, which other keywords lead to that landing page?

Using Website Optimizer with Managed Accounts
Accessing Experiments for Managed Accounts Website Optimizer is offered through a standalone interface at http://www.google.com/websiteoptimizer, and is also accessible as a tool through the AdWords interface. The same features and options are available through both interfaces, and you can only share access to a Website Optimizer account through Google Analytics or AdWords. If you use the standalone interface, you can invite other users to access your Website Optimizer experiments by giving them Account Administrator access to the corresponding Google Analytics account. If you use Website Optimizer within AdWords, and you'd like to invite other users to access your experiments, you'll need to grant each user access to AdWords by changing their access level in the My Account settings. In this case, the user will also require Account Administrator access to the Google Analytics account you are using in conjunction with Website Optimizer. You can give them access through the Access Manager in your Google Analytics account. If you are a user with a My Client Center (MCC) manager and you'd like to allow him or her to access Website Optimizer, the standard MCC access won't be enough to let them run Website Optimizer on your account. You'll need to give them separate access to see and edit your Website Optimizer experiments. To give them access: 1. 2. 3. 4. 5. Visit Website Optimizer within AdWords. View your experiment list page. Click the My Client Center User Access link below the list. Enter your MCC manager's email address. Save.

If you are a My Client Center Manager and you'd like to share Website Optimizer data for a single client account with a colleague, you can grant them access to the Website Optimizer account using the MCC interface in AdWords. In this way, they'll only have access to that client's experiment data, rather than all AdWords data. Giving Website Optimizer access to MCCs does not require Google Analytics administrator access. Once you've shared Website Optimizer access to an account with someone else, they'll be able to view and edit Website Optimizer experiments in that account. Remember, My Client Center managers cannot sign in to view Website Optimizer experiments through the standalone tool. MCC users must continue to sign in through AdWords. Finding a Third Party Provider to Optimize Your Website Google partners with third parties to offer service and support. These third parties can assist you if you don't have the technical resources to update your pages, or the marketing resources to develop alternative content for your pages. There are two types of third party support and services: Website Optimizer Authorized Consultants and Website Optimizer Technology Partners. Website Optimizer Authorized Consultants provide a wide variety of professional services related to the Website Optimizer tool. These services include, but are not limited to the following: Experiment design Experiment set up and implementation Report analysis Phone and Internet chat support Personalized training We also partner with Website Optimizer Technology Partners, who offer content management system (CMS) platforms that are fully compatible with Website Optimizer. These CMS platforms can be used to easily build, manage, and test a website to improve conversions. As an added benefit, most Website Optimizer Technology Partners offer auto-tagging functionality. This eliminates the need to manually insert the Website Optimizer tags into webpage source code, making it easier to launch experiments. Third party support from Authorized Consultants and Technology Partners is available in a limited set of languages and regions.

Website Optimizer Troubleshooting
Identifying Problems with Website Optimizer There are several common problems you may encounter with Website Optimizer tests and reports.

Common issues before launching an experiment
Previewing issues Certain website settings prevent Website Optimizer from being able to provide automatic preview of your test page combinations or variations. For example, if your test page is password protected, part of a checkout process or session-specific, Website Optimizer may not be able to access your test page for previewing. Tag validation issues The same website settings that prevent Website Optimizer from being able to provide automatic preview also prevent the tool from accessing pages to validate experiment tags have been correctly installed.

Common issues after launching an experiment
Reporting issues One of the most common issues is not seeing any data in your Website Optimizer reports. If you're only seeing visits, but no conversions, it's possible that the code wasn't implemented correctly on your conversion page. If you aren't seeing any data at all, then the tags were likely not added correctly to both your test page and conversion page. Alternatively, if your experiment seems to be double-reporting visit and conversion data, it's likely your webpages contain duplicate gwoTracker code. Also, keep in mind that your data in Website Optimizer may not match your data in analytics tools such as Google Analytics. This can happen for a few reasons. You've limited your traffic allocation for a particular experiment. In this case, Website Optimizer intentionally only records statistics from only a fraction of the traffic recorded by analytics tools. Your site offers more than one route to the conversion page. In this case, Website Optimizer will record only a fraction of your conversion page

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Resolving previewing issues

AdWords Help
Even if Website Optimizer isn't able to reach your pages to provide automatic preview, you can still preview your page manually. Open your browser and navigate to your test page, taking whatever steps are required to get to your actual test page URL (such as entering a password or going through a checkout process). To preview test combinations for a multivariate experiment, you may need to manually enter parameters onto your test page URL to define the specific experiment and combination, following the format #utmxid=Experiment_ID;utmxpreview=Combination (for example, #utmxid=AAAAAAAaAaAAaaaaaAaAaaaaaAa;utmxpreview=0-4-1).

Resolving validation issues
If Website Optimizer can't access your pages on your live site, we'll allow you to upload your page's HTML source code so you can validate that the tags have been installed correctly. You may also wish to ensure that your robots.txt won't restrict our servers' crawler's access.

Resolving reporting issues
If you're seeing inaccurate report data or no data at all, the most common problem is that the code hasn't been installed completely or accurately. However, there are other reasons why this happens. These are the most common issues: It has been less than an hour since you started your experiment. It can take at least an hour before experiment data begins recording. We recommend you wait several hours (or overnight) after starting your experiment to check for results. It's common that you won't see any data for up to a day, depending on the traffic on your site. Scripts were not installed on both your test and conversion pages. The scripts generated specifically for your experiment must be installed on both the test and conversion pages, not just one or the other. Scripts were re-used from a previous experiment. Other than for copied experiments and follow-up experiments, you can't reuse scripts; you must use scripts generated for each specific experiment. Check that the profile ID number (_uacct) is accurate. See Step 2 of the experiment pages in your Website Optimizer account to see the generated script customized for your experiment. You haven't modified Google Analytics variables in your code. If your test page is also tracked by Google Analytics, and you have modified Google Analytics variables in your code (by modifying the timeout, for example, or if your site crosses multiple domains or subdomains), you must make the same modifications to your Website Optimizer code, as described in the section of this lesson on Using Website Optimizer with Google Analytics. You are tracking across multiple domains or subdomains. If your test page is also tracked by Google Analytics, and you have modified Google Analytics variables in your code, you will need to customize your control script. Your website is not receiving any traffic. If your site is getting no traffic, your experiment will also record zero impressions. The percentage of traffic for your experiment isn't set high enough. If you have very low traffic and you have also set a very low traffic percentage for your experiment, it may take longer than you expect to record impressions. With low traffic, you may need to increase the percentage to speed up your experiment. Also, if you detect that your experiment is recording twice the number of impressions and conversions, the likely culprit is duplicate gwoTracker code in your webpages. To resolve it, simply delete or comment out the duplicate instance of the gwoTracker code on your pages. In general, if an experiment was not tracking properly, it's a good idea to stop the original experiment, create a copy, then make any fixes before launching the copy. This will ensure that your data is complete and accurate.

Website Optimizer Best Practices
Best Practices for Running Experiments While you're running an experiment, there are a few features and options you should be aware of that can save you time and help ensure the quality of your results. Send all your traffic to the experiment. Allocating 100%, or at least the majority of your traffic to an experiment will increase the amount of data collected and help speed up results. Make quick minor edits to experiments. If you need to make changes to an experiment, but the changes are minor, your best bet may be to copy the experiment. When you copy an experiment, all the settings and tags from the original are preserved. Rather than re-creating an experiment from the beginning, you can make small updates before running the experiment with changes. Automatically disable losing variations. You have the option of automatically disabling any variation that doesn't perform as well as your original variation. This feature is useful if you don't want to serve underperforming pages to visitors and detract them from the pages that have proven to be more effective at driving up conversions or site engagement. Once you turn on this setting, it's important to note that any losing test that is automatically disabled will be removed from its experiment. It can't be re-enabled again, so please read through the descriptions of the level of controls you can choose from before turning on the setting. Verify a winner: When the results of an experiment suggest a winning combination, you can choose to stop that experiment and run another where the only two combinations are the original and the winning combination. The winning combination will get most of the traffic while the original gets the remaining. Running a follow-up experiment gives you two benefits. First, it'll enable you to verify the results of your original experiment by running a winning combination alongside the original. Second, it'll maximize conversions, by delivering the winning combination to the majority of your users. We encourage you to run followup experiments to get the best, most confident results for any changes you make to your site. Best Practices for Improving Sites Based on Website Optimizer Results Website Optimizer results are designed to provide you with clear action to take to improve your site. The most distinct course of action recommended is when your experiment has a high-confidence winner, which is a combination or variation that has a high confidence (95% or greater) to beat the original. High-confidence winners don't occur in every experiment, but if your experiment does have one, we'll alert you in your report. We recommend that you implement high-confidence winners on your pages permanently to boost your conversion rate. Then keep experimenting! A high-confidence winner is a very good start, but you may be able to improve your conversions even more. You can use Website Optimizer to temporarily display a particular combination on your pages after you've stopped your experiment. However, to permanently update your pages, you'll need to remove the experiment tags from your pages and replace it with the content of the preferred variation or combination.

13.6 Optimizing for Greater Conversions
Introduction to Optimizing for Greater Conversions
Overview of Conversions and their Impact In online advertising, a conversion occurs when a click on your ad leads directly to user behavior you deem valuable, such as a purchase, signup, page view, or lead. With conversion data, you can make smarter online advertising decisions, particularly about what ads and keywords you invest in, and you can better measure your overall return on investment (ROI) for your AdWords campaigns. The Conversion Optimizer helps streamline bidding for conversions at a lower cost by optimizing your placement in the ad auction to make sure you get low-converting clicks only if they are cheap while still getting you as many highconverting clicks as profitable. Evaluating and optimizing for conversions is key to helping you identify the effectiveness of your AdWords ads and keywords. Key Metrics for Tracking and Improving Conversions

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The Conversion Optimizer is an AdWords feature that uses your AdWords Conversion Tracking data to get you more conversions at a lower cost. It optimizes your placement in each ad auction to avoid unprofitable clicks and gets you as many profitable clicks as possible. How it works: With the Conversion Optimizer, you bid using a maximum cost-per-acquisition (CPA), which is the most you're willing to pay for each conversion (such as a purchase or signup). Using historical information about your campaign, the Conversion Optimizer automatically finds the optimal equivalent cost-per-click (CPC) bid for your ad each time it's eligible to appear. You still pay per click, but you no longer need to adjust your bids manually to reach your CPA goals and can benefit from improved return on investment (ROI). To calculate the optimal equivalent CPC bid, the Conversion Optimizer first calculates a predicted conversion rate for each auction, taking into account your ad's conversion history, the keyword's broad match query, the user's location, and the conversion rates of Google's search and Display Network partner sites. The feature then generates an ad rank by combining your CPA bid, quality score and predicted conversion rate. The recommended maximum CPA bid is the ad group bid we suggest in order to keep your costs stable when you change from manual bidding to the Conversion Optimizer. The recommended bid is directly based on your current CPC bids and conversion rates over time. For example, if you have one ad group with two keywords, the Conversion Optimizer divides the current maximum CPC bid by the conversion rate to get a maximum CPA bid for each keyword. With the maximum CPA bid for each keyword, the Conversion Optimizer can compute the recommended maximum CPA bid for the campaign (the average of the keyword bids, weighted by the number of conversions for each keyword). Improving your performance: Many advertisers using Conversion Optimizer have achieved double-digit percentage increases in conversions, while paying the same price or less for each conversion. Enabling Conversion Optimizer To begin using the Conversion Optimizer, you must have AdWords Conversion Tracking enabled, and your campaign must have received at least 15 conversions in the last 30 days. Your campaign must also have only keywords. Here's how to enable AdWords Conversion Tracking: 1. Visit https://adwords.google.com/select/ConversionTrackingHome 2. Click Create a new action. 3. Follow the steps provided. You'll be guided through the process of receiving your code, placing it on your site, and completing the set-up. Read through the complete Conversion Tracking Setup Guide for more details. Here's how to enable Conversion Optimizer, once AdWords Conversion Tracking has been activated: 1. 2. 3. 4. 5. 6. 7. Sign in to your AdWords account at https://adwords.google.com. Select the Campaigns tab. Select the campaign name. Select the Settings tab. Next to 'Bidding option' click Edit. Click the 'Focus on Conversions (Conversion Optimizer) radio button. Click Save to finish.

Responding to Conversion Optimizer Data to Improve Conversions If you're using conversion tracking, it's likely you're interested in two metrics: The number of conversions you get per day The average cost for each of these conversions (this is your average CPA, or cost-per-acquisition) Here are three guidelines for assessing whether the Conversion Optimizer is working for you. Guideline 1: Compare your campaign's conversions and average CPA before you enabled the Conversion Optimizer to its performance since then. Keep in mind that external factors, such as changes in your competitors' ads, can affect your campaign's key metrics from week to week. To help determine whether your campaign performance has been affected by changes you made or by external changes, you might consider comparing changes in the performance of your Conversion Optimizer campaigns to changes in your other campaigns. Guideline 2: Look at the performance of your campaign in light of your goals for the Conversion Optimizer. Here are some example goals: 1. Maintain the same average CPA and get more conversions. 2. Decrease your average CPA and get more conversions than you would with CPC bidding, given the lower CPA. 3. Raise your average CPA and get more conversions than you would have while increasing your average CPA the same amount with CPC bidding. You can shift your performance according to your primary goal by raising and lowering your maximum CPA bid. You can raise your max CPA bid if you want to increase traffic and conversions. If your average CPA is higher than you prefer, you can lower your bid, which will likely decrease both average CPA and the number of conversions. Guideline 3: Keep in mind that changes in ad performance are natural, and you may need to use the Conversion Optimizer for some time to get an accurate understanding of its effects on your campaign's performance. For example, suppose a campaign normally receives 10 conversions per day, and it receives only 8 the day after it starts using the Conversion Optimizer. One would need to look at more than a day's worth of data to determine whether this drop is part of a long-term change in campaign performance; it could be natural for the campaign to have 8 to 12 conversions on any given day, but a change from 10 to 20 might not be natural.

Try it Now: View Conversion Optimizer Data and Select Improvement Strategy

Learn how to respond to conversion optimizer data and improve your results. Follow the instructions below to run a report, analyze the data, and select an improvement strategy. 1. Sign in to an AdWords account that has Conversion Optimizer enabled for at least one campaign. 2. Run a report for each Conversion Optimizer-enabled campaign that includes your conversion tracking data. The date range should be the same number of days before & after you enabled the Conversion Optimizer for the campaign. We generally recommend looking at about 2 weeks before and after enabling Conversion Optimizer. 3. Compare your campaign's conversions and average CPA (1-per-click) before you enabled the Conversion Optimizer to its performance since then. 4. Evaluate the performance of your campaign based on the goals you've set for the Conversion Optimizer. 5. Based on the trends you see and your primary goal, consider raising or lowering your maximum CPA bid. Questions to consider: 1. If your primary goal is to increase traffic and conversions, would you want to increase or decrease your max CPA bid? 2. If your average CPA is higher than you'd like, you can lower your max CPA bid. What effect might this have on the overall performance of your campaign? 3. How does the fact that you can receive conversions up to 30 days after a click impact your average CPA and conversion rate?

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Your actual CPA depends on factors outside of Google's control, so it may exceed the maximum CPA you specify. The Conversion Optimizer uses historical conversion data to predict the likelihood your ads will convert. However, your actual conversion rate can be affected by changes to your website and ads, or external factors such as increased competition. If your actual conversion rate turns out to be lower than the predicted conversion rate, your actual CPA may exceed your maximum CPA bid. High average cost-per-acquisition: If your average CPA is higher than you prefer, you can lower your bid, which will likely decrease both average CPA and the number of conversions. Conversely, you can raise your maximum CPA bid if you want to increase traffic and conversions. Traffic rate decreases after enabling Conversion Optimizer: If you notice a drop in traffic after turning on the Conversion Optimizer, it's likely the initial maximum CPA bid was too low. Setting a low maximum CPA bid is equivalent to decreasing the original CPC bids; it can result in lower position and less traffic on your ads. For this reason, it's best to use the recommended CPA bid provided when you begin to use the Conversion Optimizer. This bid is calculated to help ensure a smooth transition to your new bidding mode. Also, since the Conversion Optimizer aims to get you more conversions by avoiding traffic that doesn't result in conversions, you may see a decrease in impressions or clicks while increasing the number of conversions. Conversion rate decreases after enabling Conversion Optimizer: It's possible to see a drop in conversion rate when you start using Conversion Optimizer because you're observing an average of the conversion rate across all clicks. For example, suppose the Conversion Optimizer causes your campaign to have an increase in very cheap clicks with slightly lower conversion rates. If there were no other changes in your campaign, this change would appear as a decrease. However, the change in cost could have a very positive effect on your campaign profit. Compatibility with other AdWords features, the search and Display Network, and third-party ads: The following AdWords features are not compatible with the Conversion Optimizer: Separate Display Network bids (the Conversion Optimizer will automatically optimize your bids across the search and Display Networks.) Position preference Advanced ad scheduling (basic ad scheduling is supported.) The Conversion Optimizer does work on the search and Display Networks and with third-party ads. (Note that AdWords Conversion Tracking is still required in order to use the Conversion Optimizer with third-party ads.)

Best Practices for Conversion Optimizer Here are some best practices to help you get the most out of Conversion Optimizer. Use the Conversion Optimizer on mature campaigns: The Conversion Optimizer relies on historical conversion data in order to predict an accurate conversion rate, so the longer a campaign has used conversion tracking, the more data the Conversion Optimizer has available to improve your ROI. For this reason, it's best to modify existing campaigns rather than create a new one. Campaigns with low traffic should run conversion tracking even longer before trying the Conversion Optimizer, and your campaign must have received at least 15 conversions in the last 30 days in order to be eligible to enable the feature. We also recommend using campaigns which group together related ads and ad groups with ads that are even more closely related. Start with the recommended bid: When you begin using the Conversion Optimizer, it's best to start with the recommended bid to help ensure a smooth transition to your new bidding mode. From this starting point, you can observe your performance and adjust your bid accordingly. As with CPC bidding, the CPA bid you set is your primary control over how many conversions you'll get and how much you'll pay for them. If you want to increase traffic and conversions, you can raise your maximum CPA bid or try one of the following other options: If you're consistently hitting your budget, increase it to allow more visibility for your ads. Opt in to the Google Display Network. Add more relevant keywords to your ad groups. If your average CPA is higher than you prefer, you can lower your bid, which will likely decrease both average CPA and the number of conversions. However, if you seem to be receiving fewer conversions using Conversion Optimizer than you did before using it, you should consider whether your maximum CPA bid may be too low. Using Conversion Optimizer with multiple conversion types and values in a single campaign: The Conversion Optimizer will work with multiple conversion types and values in a single campaign. For example, if your website is set up so that products for sale are mostly on different landing pages, make sure each product and landing page pair has its own ad group and then set a unique maximum CPA bid for each ad group. Guidelines for making changes to your campaign: The Conversion Optimizer is able to adapt quickly when changes are made which have minor effects on your campaign's conversion rate. For example, the following are unlikely to have negative effects on your campaign: Editing your maximum CPA bid Creating a new ad group Deleting or adding keywords Making small changes to your ads (such as a slight alteration of your ad text) Changing the conversion type reported in your tracking code (such as 'Lead' to 'Purchase') You should be careful, however, not to make changes that will have substantial impact on your conversion rate, such as moving your conversion tracking code or combining five different campaigns into a single one. In this case, you should turn Conversion Optimizer off in the short-term. (Note that sudden changes in your conversion rate may cause the AdWords system to over predict the probability of a conversion and could cause the average CPA to exceed the maximum CPA bid.) While Conversion Optimizer can adjust to gradual changes in the conversion rate, if your conversion rate alters dramatically from day to day during a seasonal period, we recommend that you monitor performance closely and adjust your bids accordingly.

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