page of a blog post may naturally have a higher bounce rate, so it’s important to analyze it in conjunction with the entire user journey and other metrics.
Visualizing the exit rate in GA4
In GA4Abandonment rateThere are reporting functions (in GA4, Data Portal, etc.) that allow you to visually grasp the above. It is easy to check the bounce rate of specific pages and sections at a glance. In addition, more detailed analysis is possible by using filters and segments.
Comparison with other finland mobile database indices
Abandonment rateBy combining it with other metrics such as bounce rate and conversion rate, you can get a more comprehensive picture of your site's performance. In particular, understanding the difference between pages with high exit rates and pages with high bounce rates can help you find effective ways to improve your site.
GA4 exit rate calculation formula
In Google Analytics 4 (GA4)Abandonment rateis an important indicator that shows the percentage of users who leave a site after visiting a specific page. By accurately understanding the bounce rate, it becomes possible to plan specific measures to improve the site.
We will explain in detail the formula for calculating the bounce rate in GA4.
Basic calculation method of dropout rate
In GA4Abandonment rateis calculated using the following formula:
Exit rate = (exits / sessions) x 100
For example, if there are 100 sessions on a particular page, and 30 of those sessions result in an exit on that page, then the exit rate is 30%.
item Contents
Number of abandonments The total number of sessions that left the site from a particular page
Number of sessions The total number of all sessions during the period in question
Caveats and limitations
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