Free app analytics calculator

Mobile App Retention Rate Calculator

A mobile app retention rate calculator shows what percentage of a user cohort returned after a set period. Enter your starting cohort, returning users, and target to calculate retention, churn, lost users, and the gap to your retention goal.

Cohort formulaChurn estimateTarget gap

Users in the original group

How many came back

Goal for this cohort

%

Retention rate

32%

320 of 1,000 users returned.

Churn rate

68%

680 users from the cohort did not return.

Target gap

80

Additional returning users needed to reach 40%.

Benchmark

Healthy

Retention is in a workable range. Improve onboarding, habit loops, and reminders before scaling acquisition.

Mobile app retention formula

Retention rate = returning users / starting cohort users x 100

Use the same cohort and time window for both numbers. For example, if 1,000 people installed the app in May and 320 used it again in June, the app retained 32% of that cohort.

How to use this retention calculator

  1. 1Enter the number of users in the original cohort.
  2. 2Enter how many of those users returned in the period you are measuring.
  3. 3Set a target retention rate to see how many additional returning users you need.
  4. 4Use the churn and benchmark notes to decide whether to fix onboarding, activation, or acquisition.

Mobile app retention FAQs

What is mobile app retention rate?

Mobile app retention rate is the percentage of users from a cohort who come back after a set period. The basic formula is returning users divided by starting cohort users, multiplied by 100.

How do you calculate app retention rate?

Divide the number of users who returned by the number of users who were in the original cohort, then multiply by 100. For example, 320 returning users from a 1,000-user cohort equals 32% retention.

What is a good mobile app retention rate?

A good retention rate depends on the app category and measurement window. As a simple planning benchmark, 30% or higher can be workable, while 45% or higher usually signals strong repeat value.

Should I optimize retention before user acquisition?

Usually yes. If early cohorts do not return, more acquisition spend compounds the leak. Improve activation, onboarding, notifications, and the core value loop before scaling traffic.