Cohort Retention Calculator
Cohort retention analysis is the most insightful way to understand how users engage with a product over time. Rather than looking at aggregate retention, cohort analysis follows a specific group of users who started together, revealing exactly when they disengage and by how much. A healthy retention curve drops quickly at first then flattens out, indicating a stable core of retained users. A continuously declining curve suggests the product has not yet found its core value proposition. This calculator lets you input cohort size and active user counts at Day 1, Day 7, Day 14, and Day 30 to compute retention rates at each milestone and identify where drop-off is most severe.
Cohort retention formula
Retention(Day N) = Active Users on Day N / Cohort Size * 100
Cohort size is the number of users who joined on Day 0. Each subsequent retention figure measures what fraction of that original group is still active.
Retention benchmarks (consumer mobile apps)
- Day 1: above 40% is excellent; 20 to 40% is average; below 20% is poor.
- Day 7: above 20% is excellent; 10 to 20% is average.
- Day 30: above 10% is excellent; 5 to 10% is average.
- B2B SaaS typically sees 10 to 20 percentage points higher at each milestone.
Cohort retention: frequently asked questions
What is cohort retention?
Cohort retention tracks what percentage of users who signed up or started in a given period are still active in subsequent periods. It groups users by start date (a cohort) and follows them forward in time.
What is a good Day 1 retention rate?
For consumer mobile apps, Day 1 retention above 40% is excellent. Day 7 above 20% and Day 30 above 10% are strong benchmarks. B2B SaaS tools typically see higher retention due to stickier workflows.
How is cohort retention different from overall churn?
Overall churn mixes cohorts of different ages. Cohort retention tracks a specific group through time, revealing how retention evolves as users age and whether recent cohorts are improving or declining.
What does a flat retention curve mean?
A flat retention curve after an initial drop-off means the retained users have found long-term value and will stick around. The product has a stable core audience. This is the ideal shape for a subscription product.
How do I improve cohort retention?
Improve onboarding to help users reach their first value moment faster, identify and address the primary reasons for early drop-off, add re-engagement campaigns at Day 3, Day 7, and Day 30 touchpoints.
Sources
- U.S. Federal Trade Commission: Digital Advertising and Marketing 101.
- U.S. Small Business Administration: Manage Your Finances.
Reviewed by the CalculatorHub team, edited by James Graham, 14 June 2026. See our methodology.