Google Includes 2 New Metrics To GA4 Reports

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

Google Analytics is including two new metrics to GA4 properties that provide more insight into how many pages visitors view and

the length of time they stay. Views per session and typical session duration are now offered in Expeditions and Reporting Personalization in

GA4. Views per session tracks the number of app screens or web pages individuals take a look at throughout a single visit, while average session period measures the time users invest in the site.

A statement from Carly Boddy, Item Manager at Google Analytics, demonstrates how to add these metrics when developing custom reports:

If you track views per session and typical session period for Universal Analytics (UA) residential or commercial properties, there are a few key distinctions to understand regarding GA4.

You’re likely to see a difference in session counts, which can vary from organization to business based on the list below elements:

  • Location: UA residential or commercial properties count a brand-new session at midnight even if the user hasn’t left, which implies session counts might be greater than GA4. Think about the time zones of your users and how likely they are to cross the midnight limit to restart a session.
  • UTM Tagging: UTM tagging on your website will reset the session in UA, which indicates you may see a much greater count of sessions in UA than in GA4.
  • Filters: The data in UA reporting might undergo view filters that omit information. The information in GA4 reporting for GA360 customers may go through filters that define which data from a source residential or commercial property appears in a sub-property.
  • Estimate: GA4 homes utilize a statistical estimate of the number of sessions on your website or app by approximating the number of distinct session IDs, while UA properties do not estimate the variety of sessions. GA4 properties more effectively count sessions with high precision and low mistake rate.

Source: @carly_boddy on Buy Twitter Verified
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