CMS Help and Support

How to Set Up Your Site with Google Analytics

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Step #1 - Gaining Access

• To view Google Analytics data for a CMS site, there are two login options:
  
  • Login with an existing Gmail account and password -OR-
  • Login with your @uwyo.edu email address and Gmail password.  (This is referred to as Adding an Alternate Email to your Google Account.)
    
    • To use your @uwyo.edu email, click the following link https://support.Google.com/accounts/answer/176347?hl=en and follow the instructions Google provides. 
      

• Once you have chosen a login option, send an email to webhelp@uwyo.edu and request to be added to your CMS site's analytics account and provide them with the email you have chosen to use. 
  • Once your analytics account is setup, you will be able to create and download .PDF and other reports to review and distribute to others for analysis.

• To login to Google Analytics, click the following link: http://www.Google.com/analytics/

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Step #2 - Adding a Google Analytics Connector to your site in the CMS

• By request only, Institutional Marketing will be adding Google analytics connectors to individual sites in the CMS. If you would like to be able to see the connector within the CMS, please send a request to webhelp@uwyo.edu.
  • Please Note that the connector is in addition to the Google analytics report, described above. 
• The Google Analytics Connector syncs Google Analytics data with Cascade Server to provide users with basic analytics information for Sites, Pages, Files, and Folders.  Site analytics data can be viewed on the Analytics tab of the Home Area dashboard.  All other analytics data can be found on the Analytics pane of each asset.

Viewing Analytics Data

• In sites where a Google Analytics Connector is enabled, an Analytics tab will appear on the Home Area Dashboard. The Dashboard Analytics view provides site analytics which includes pageviews, visitors, unique visitors, bounce rate and average time on site.
• A percentage change for each value is displayed in parenthesis. A percentage change that is GREEN signifies a favorable change and a RED one signifies an unfavorable change.
  • For example, because having more site visitors is favorable; a positive percentage change in the number of visitors will be displayed in green and a negative change will be red.
  • However, having a higher bounce rate is unfavorable; therefore, a positive percentage change in bounce rate will be red and a negative change will be green.
• Below the Properties section of the analytics is a list of URLs that can be toggled to display either URLs with the highest number of page views or URLs with the highest bounce rate. These URLs are grouped by base url, meaning query parameters are dropped from each URL when determining which URLs refer to the same page. A group of URLs is displayed as the base URL with either the sum of all pageviews for URLs in the group or an average of the bounce rates of each URL in the group.  Clicking the plus icon to the left of the base URL will reveal the individual URLs comprising the group.  The expanded list of URLs will include request parameters.  Clicking the Show more link will load additional URLs (not all URLs will be displayed when first clicking the plus icon).
• The 'Visit Google Analytics' link located below the list of URLs will take the user to the Profile Overview page in the Google Analytics web application for the profile specified on the Google Analytics Connector.  

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Asset level Analytics - Files, Folders and Pages

• When a Google Analytics Connector is enabled, each Page, File, and Folder will have a new tab available on the View tab labeled Analytics. This pane provides individual statistics for the Asset. Folder analytics will include a section for aggregate analytics data for the folder contents.
• The 'Visit Google Analytics' link located below the asset analytics will take the user to the Content Drilldown or Content Detail section in the Google Analytics web application for the current asset.

Additional information

• Every day at 1:30 a.m. data will be imported from Google Analytics for each Google Analytics Connector into UW's CMS