Features of the calculation of the exit rate in GA4

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GA4 uses metrics and event-based data collection methods that differ from traditional Universal Analytics (UA).

Therefore, there are some peculiarities in the calculation of the dropout rate.

Event-based data collection
In addition to page views, GA4 finland mobile database tracks various user actions as events, so certain events play an important role in calculating the bounce rate.

Introducing engagement metrics
GA4 introduces a new engagement metric, which allows you to analyze the bounce rate by considering how engaged users were with the site, rather than just the number of sessions where users left the page.

Specific calculation example
period Number of abandonments Number of sessions Abandonment rate
April 2024 500 2000 twenty five%
May 2024 450 1800 twenty five%
Points to note when calculating dropout rate
When calculating the dropout rate, you should keep the following points in mind:

Defining a Session: In GA4, a session is defined as an incident, so it is important to understand the definition of a session in order to calculate an accurate bounce rate.
Filtering Data: Check for fraudulent data such as bots and spam traffic, and filter the data appropriately to calculate accurate bounce rates.
Selecting a period: Choose an appropriate period of analysis to avoid being influenced by seasonality or temporary trends.
In GA4Abandonment rateThe calculation formula is simple: divide the number of exits by the number of sessions and multiply by 100. However, with the introduction of GA4's unique event-based data collection and engagement indicators, a new perspective is required for interpreting and analyzing the exit rate. By grasping the accurate exit rate and gaining a deeper understanding of user behavior, it is possible to improve the site.