Retention analysis provides data about user engagement. It analyzes the number and percentage of users in an audience group, such as new users, who return to your application. You can use this data to adjust your operational strategies for users who have churned and to drive continuous traffic growth.
To view retention analysis data, follow these steps:
Log on to the console, click Products & Services > Mobile Platform mPaaS, and select an application.
In the navigation pane on the left, choose Mobile Analysis > Basic Analysis > Retention Analysis.
Filter the analytical data.
In the upper-right corner of the page, click the Add Filter Condition button. Select the platform, version, and channel.
Select a time range for the data analytics.
Select the dimension for displaying the analytical data: by device ID or account.
Select the time granularity for the analytical data. Options are day, week, or month. The default time granularity is day, and the default time range is the seven days before yesterday.
The retention analysis page contains two sections: Retention overview and Retention details.
Hover over the question mark icon (
) in the upper-right corner of a metric to view a description of the metric and its calculation rule.Statistics are calculated from historical daily summaries. The database records these summaries for all metrics. Data from the current day is not included. For more information about how metrics are calculated, see Metric calculation rules.
Retention overview
This section displays a line chart showing the percentage of new users from a specific day who return to the application on each of the following seven days.
If you view data by day, the retention rate for Day N (such as Day 7) on the horizontal axis represents the average N-day retention rate for the selected date range. Similarly, if you view data by week or month, the retention rate for Week N or Month N is the average N-week or N-month retention rate for the date range. Retention can be tracked for up to 30 days for daily data, 6 weeks for weekly data, and 3 months for monthly data. The same limits apply to the retention details.
Retention details
This section displays a table that shows the percentage of new users from a specific day who return to the application on each of the following days.
For example, if the total number of new users on Day T is N, M1 of those users return to the application on Day T+1, and M7 of those users return on Day T+7, then the retention rate for Day T+1 is M1/N, and the retention rate for Day T+7 is M7/N.