The Use cases of Retention Analytics

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Retention Analytics

Improving retention is crucial for apps. Let’s work on it with using retention analysis to understand retention rates.

Use case

Understand the Retention rate of New Users

Understand the retention rate by period

Analyze retention rate by attribute

Analyzing the retention rate for each behavior

Understand the Retention rate of New Users

You can figure out how many months a new user who installed the application has been using, on a daily, weekly or monthly basis.

In order to improve the retention rate, it is crucial the initial period from installing the application. Let’s grasp the retention rate.

Understand the retention rate by period

If you have a UI improvement or a big campaign, monitoring the change in the retention rate is important. You can compare the effects by checking the number in before and after the target period.

Let's take an EC app as an example. You can monitor changes before and after the winter sale to see if retention rates have improved, decreased, or have remained unchanged. By this way, you can see whether your UI changes and campaigns were effective in retention.

Analyze retention rate by attribute

Filtering user attributes enabled you to see number such as the difference in retention rate between male and female, member users and non-member users.

Analyzing the retention rate for each behavior

The behavior of ongoing users can be analyzed . Use retention analysis to see what important events correlate to user retention and how many times they're running.

Also, using the "Magic Number Analysis",that graphs the retention rate for each event execution count, makes it easier to compare events.

See this article" for the details on Magic Number Analytics

Retention Analysis