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Churn and Retention Analysis

Measuring and understanding why customers leave, with retention curves, cohort views and churn drivers.

Editorial team 1 min read

Retaining customers is often cheaper than acquiring new ones. Analysing churn shows where and why customers leave.

Defining Churn

  • Contractual businesses: churn when a subscription ends.
  • Non-contractual businesses: churn must be inferred, such as no purchase in 90 days.

Choose definitions carefully and apply them consistently.

Key Metrics

  • Churn rate and retention rate per period.
  • Revenue retention, including expansion and contraction.
  • Customer lifetime.

Retention Curves

Plot the percentage of each cohort still active over time. Flattening curves indicate a loyal core.

Finding Drivers

  • Compare churned and retained customers' behaviour.
  • Survival analysis to account for customers still active.
  • Exit surveys and support tickets.
  • Predictive models to flag customers at risk.

From Prediction to Action

Knowing who might churn matters only if interventions work. Test retention actions with controlled experiments — and target people likely to be persuaded, not those who'd stay anyway.

Segment

Churn often differs sharply by channel, plan and customer type.

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