Google Adds 2 New Metrics To GA4 Reports

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Google is bringing two new metrics to GA4 homes that online marketers can use when building custom reports.

Google Analytics is including 2 new metrics to GA4 homes that offer more insight into how many pages visitors view and

for how long they remain. Views per session and average session period are now readily available in Expeditions and Reporting Personalization in

GA4. Views per session tracks the variety of app screens or web pages people look at during a single see, while average session period measures the time users spend on the site.

A statement from Carly Boddy, Product Manager at Google Analytics, demonstrates how to add these metrics when building customized reports:

If you track views per session and average session period for Universal Analytics (UA) residential or commercial properties, there are a couple of essential differences to know regarding GA4.

You’re likely to see a difference in session counts, which can differ from service to business based upon the following factors:

  • Geography: UA residential or commercial properties count a new session at midnight even if the user hasn’t left, which indicates session counts might be greater than GA4. Consider the time zones of your users and how most likely they are to cross the midnight threshold to restart a session.
  • UTM Tagging: UTM tagging on your site will reset the session in UA, which indicates you might see a much greater count of sessions in UA than in GA4.
  • Filters: The information in UA reporting may be subject to view filters that exclude information. The data in GA4 reporting for GA360 customers may go through filters that specify which data from a source residential or commercial property appears in a sub-property.
  • Estimation: GA4 properties utilize a statistical estimate of the number of sessions on your site or app by approximating the number of distinct session IDs, while UA properties do not approximate the variety of sessions. GA4 residential or commercial properties more effectively count sessions with high accuracy and low mistake rate.

Source: @carly_boddy on Buy Twitter Verified
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