App Users

App user analytics can be used to view data of registered users and active users. Detailed data includes the registration trend, active user trend, source, stickiness, and user retention data. You can view the user retention data only after you pass the organization verification.
The App Analytics feature enables you to understand the usage frequency and habits of users, optimize the app, and improve user experience. For example, the number of users using an app on weekends is twice that of users using the app on weekdays. Therefore, you can launch marketing operations and campaigns during weekends.

Terms

Feedback trend

General analytics

• Registrations: Count the number of newly registered users of the app under the current account within the statistical period.
  

• Active users: Count the number of active users by day, deduplicated by natural month.
  

• Active user source: Divide the number of registered users on a statistical day by the number of active users on a statistical day.

  

• Active user stickiness 7 days: It is calculated as follows. 7-day active stickiness = Number of active users on the day ÷ Number of active users in the last 7 days before the statistical day.

• Active user stickiness 30 days: It is calculated as follows. 30-day active stickiness = Number of active users on the day ÷ Number of active users in the last 30 days before the statistical day.

  

Retention analytics

• Retained users: Active users in the statistical period who still use the app after a period of time are considered retained users.

• Retention rate: The ratio of the number of retained users to the number of active users in the statistical period is the retention rate.