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Metrics

What is Cohort Analysis?

Grouping customers by when they joined to see how their behavior changes over time.

Cohort analysis groups your customers by a shared starting point — usually the month they signed up — and then tracks how each group behaves over time. Instead of one blurry average, you see how the January customers compare to the June customers as they age.

This view reveals trends that overall numbers hide. Total revenue can rise even as your product gets worse at keeping people, and only cohorts will show you that. It's one of the most powerful tools for understanding retention and the real health of a business.

What cohorts reveal

By lining up cohorts side by side, you can answer questions a single average never could — and spot whether your changes are actually helping.

  • Whether retention is improving: do newer cohorts stay longer than older ones?
  • How long it takes a cohort to pay back its acquisition cost.
  • Whether a product change actually moved behavior for customers who joined after it.
  • Which acquisition channels bring customers who stick around.

Why cohort analysis matters for validation

Averages can make a struggling business look fine and a great one look ordinary. Cohort analysis cuts through that by isolating each group, giving you an honest read on whether your product is genuinely getting stickier. For a founder validating an idea, improving cohort retention over time is some of the most convincing evidence that you're onto something real.

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