Cohort Retention Revenue
Calculator

A cohort is a group of customers who joined in the same period (e.g., all signups in March), tracked together over time. Total revenue mixes new and old customers together and can mask a retention problem, since new signups can hide the fact that older cohorts are shrinking fast; cohort analysis isolates how each group actually behaves after acquisition.

A cohort's revenue naturally declines over time as some customers churn or downgrade, so a downward curve isn't inherently bad; what matters is the shape and where it stabilizes. A curve that flattens at 40-60% of the starting value after a few periods indicates a durable core of customers, while one that keeps declining toward zero signals a product with no lasting retention.

That's a strong positive signal, usually meaning product improvements, better onboarding, or improved customer targeting are working, since you're comparing groups exposed to different versions of the product or acquisition process. Track this trend explicitly, since it's one of the clearest indicators that retention-focused work is paying off.

Because retention percentage alone tells you the shape of decay but not the dollar amount at stake; a 90% retention rate on a $10,000 starting cohort is very different in absolute terms from 90% retention on a $1,000 one. The starting figure lets the calculator project actual future revenue, not just a relative curve.

Yes, that's one of its main uses: once a cohort has a few periods of observed retention data, you can extrapolate its likely trajectory to estimate revenue from months you haven't reached yet. Be cautious extrapolating from fewer than 3 data points, since early-period retention curves are often steeper than the long-run pattern that follows.