Cohort Retention Calculator

Calculate cohort retention (and churn) over a selected timeframe using only the original cohort (exclude new users/customers). Includes tooltips, scenarios, and a short “What It Means?” interpretation.

Use monthly cohorts (e.g., Month 0 → Month 3 retention).

Results

  • Cohort retention %
  • Cohort churn %
  • Retained from cohort
  • Lost from cohort

What is Cohort Retention?

Cohort retention is the percentage of users/customers from the same start group (a “cohort”) who are still active after a specific number of time units.

It matters because retention is the backbone of value creation in recurring models: it drives LTV, improves CAC Payback Period, stabilizes cash flows, and sets the ceiling for metrics like NRR/GRR and efficient growth (Rule of 40, Burn Multiple).

Formula




Example

A cohort starts with 1,000 customers. After 3 weeks, 650 are still active.




How to Use the Cohort Retention Calculator

Set the time window and cohort size, enter how many from that original cohort are still active at the end of the window, and the calculator will return retention and churn plus retained/lost counts.

  1. Pick your time unit

    • Choose Weeks, Months, Quarters, or Years based on how often users should naturally return.
  2. Set the number of time units

    • Enter how long you’re measuring (e.g., 3 weeks = retention after 3 weeks).
  3. Enter your cohort size and active users

    • Fill “Cohort size at start” (users/customers at the start) and “Still active from this cohort” (how many from that same cohort remain active at the end).
  4. Read the results panel

    • Use “Cohort retention” and “Cohort churn” for % metrics, and “Retained/Lost from cohort” for absolute counts.
  5. Share or visualize (optional)

    • Use Share/Embed for reporting, and toggle charts (if available) to show the retention trend more clearly.

Frequently Asked Questions

Methodology & Sources

Bibliography

  1. (2025). Retention Rate and Student Success — University of Arkansas for Medical Sciences (UAMS) – Academic Affairs
    Accessed 2025-12-16
  2. (2025). Retention Analysis — University of Massachusetts Dartmouth – Office of Institutional Research and Assessment
    Accessed 2025-12-16
  3. (2024). Ultimate guide to cohort analysis: How to reduce churn and strengthen your product retention — Mixpanel (Signals & Stories)
    Accessed 2025-12-16