Retention curve

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  1. Definition
  2. How to compute
  3. Pitfalls
  4. Related

Definition

A retention curve is the share of users still active as a function of time since start. It shows a trajectory rather than a single number: how fast the bulk churns and whether the curve flattens into a plateau. The shape distinguishes a product with real habit formation from a one-off one.

How to compute

For a cohort, compute RtR_t for each period tt and join them into a line, often on a log scale so tail differences are visible. To compare cohorts, normalise curves by age and overlay them. A plateau can be estimated by fitting a decaying function and extrapolating its asymptote.

Pitfalls

Curves cannot be compared at different lengths or without normalisation. A plateau means part of the audience stayed, not that retention is high. The early segment is the noisiest. Extrapolation without a model misleads: real curves do not always decay monotonically.

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