Retention Analysis is a tool that lets you understand how many users continue to use the app and website. Repro's Retention Analysis not only shows retention rates, but also allows you to investigate correlation between important events and retention.
Activate event tracking to take advantage of Retention Analysis. See also Event Tracking.
Case Study: Twitter
By understanding user behavior with Retention Analysis, Twitter increased their new users’ rate of return by recommending them to follow 6 users or more during the sign up process.
Changing the settings lets you see the retention based on the amount of times an event has occurred.
The below example will show the analysis of all users who have accessed the product detail page one times or more in the last 13 days.
Y Axis shows the number of users per day according to the analytics settings.
X Axis shows the number of days it took for the users, shown in Y Axis, to come back to the app.
With the below example, the chart shows that there were 62 users who executed App Launch on March 22th, and 33.87% of them came back to the app after 5 days.
In the case of an e-commerce app, you can set your retention analysis to show users coming back after they perform the “Product detail” event once (which is an event occuring when users visit the product detail page).
If you compare the above result with users who perform the same event twice or thrice, you can find out the optimum amount of times a user has to see a product detail page to have an increased rate to return to your app.