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User Retention

Appsee's user retention feature enables you to understand how often your users return to use your app in a given time frame. The information is presented through cohort analysis, which aggregates groups of users who started using the app in the defined time frame.

User retention reports can help you understand if your app meets your users' needs and expectations and enables you to measure how your app optimization efforts impact user retention.

Please follow these simple steps to get started:
  1. Navigate to the 'Analytics' section in the Appsee dashboard and select 'User Retention'
  2. Select the time frame to be included in the user retention reports (top right menu):
  3. Select the date buckets (daily/weekly/monthly) to see how user retention changes over time (top left menu):
  4. Analyze user retention:
    • Retention Stats – Gain insights regarding basic retention info within the selected date bucket (daily/weekly/monthly) for a given time frame. For example, as shown below, 27.4% of users never returned to use the app after their initial session, 33.7% of them who used the app on the first week returned to use the app on the following week and the average time interval between the first and the second session is 1 day, 19 hours and 57 minutes. All the stats presented are an aggregated view of specific cohorts.
    • Session Frequency - Measures the average number of sessions within the selected date bucket (daily/weekly/monthly). For example, as shown below, 25% of the users used the app 3-6 times per week.
    • Retention Cohort Analysis - In the report below, 103 new users started to use the app between April 21 to April 27. Only 8.74% of users used the app again a week later, that is to say, between April 28 and May 4.
How is user retention calculated?

Our retention cohort analysis groups new users and not total number of users. The cohort will include every new user that used the app within the defined time frame and selected date bucket (daily/weekly/monthly). A new user can only be counted once per cohort, but can be included in more than one cohort.
In this case we're looking at weekly cohorts, as shown above, the numbers marked 1,2,3 along the top of the retention report will indicate weekly buckets. The percentage under each weekly bucket represents the number of users who returned to use the app during that specific bucket.

The beginning and ending of each bucket will be different for each new user in the cohort. The bucket marked "1" indicates a timeframe of 7 days following the initial session of the user. For example, if the initial session occurred at 10am on Sunday, then bucket "1" for him/her begins 10am Sunday of the following week. Bucket 1 for this specific user extends between 7 and 13 days from his/her initial session.