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This report displays the unique visitors to your website, ranked by number of events. This report is designed for tracking custom events such as mouse clicks on specific page elements. It is primarily designed for campaign tracking, however it can also be used to filter reports by a specific URL address or all page URLs beginning with a specific URL address.

Note:

  • By default, each SharePoint page view is automatically logged and reported by CardioLog Analytics as a view event, with the URL as the event title.
  • Event filtering supports the use of wildcards. For pageviews events, wildcards can help filter specific document extensions or URL query string parameters. (eg., If you would like to display unique users who viewed PDF documents only, enter %.pdf in the Website Item URL filter. The percent sign (%) wildcard character is a substitute of all possible characters.)
  • Learn how to fire custom events with the CardioLog Analytics client API
  • Learn how to use goal funnels to report on campaign events.

 

 


Available Report Widgets

Meter, Chart, Table

Table Widget

The Unique Users by Events table widget contains the following columns:

  • User - The user name, cookie identifier, or IP address.
  • Views - The number of events
  • Visits - The number of visits.Visits are a series of SharePoint page requests from the same uniquely identified client with a time of no more than 30 minutes between each page request.
  • Searches - The number of SharePoint search action.
  • Visit Duration - The average duration of visits.
  • Custom columns - This widget provides the ability to add additional user fields.

Map Widget

This report provides a visual representation of unique users by country. Countries are color coded, with darker colors representing higher values, with the highest value indicated by the legend in the bottom right-hand corner of the map. You can mouse over a country to display the number of unique users. CardioLog Analytics uses internal and third-party data to derive visitors' geographic locations based on their IP addresses.

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