Retention Curve Analysis

Use retention curves to diagnose churn patterns and quantify the impact of retention improvements.

Quick checklist

  • Define your cohort start event clearly.
  • Track retention monthly for at least 6 months.
  • Compare curves before and after product changes.
  • Focus on month-1 and month-3 retention as early signals.
  • Translate retention gains into LTV impact.

Step-by-step

  1. Plot the retention curve for a recent cohort.
  2. Identify the steepest drop-off month.
  3. Map the drop-off to onboarding or product friction.
  4. Model a 1-2 point retention improvement.
  5. Quantify the revenue upside using LTV.

What to optimize first

  • Onboarding flow and time-to-value
  • Core feature adoption and activation
  • Pricing clarity and value messaging
  • Support response time during onboarding

Common mistakes

  • Comparing cohorts with different acquisition channels.
  • Using annual retention rates for monthly curves.
  • Ignoring seasonality in trial start dates.
  • Treating revenue retention as user retention.

Tools to use