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Cohort Analysis
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Retention Curve Analysis 2025: Read & Act on Cohort Data

Read retention curves: identify inflection points, healthy vs unhealthy patterns, and intervention timing. SaaS retention curve benchmarks.

December 3, 2025By David Kim

Retention curves reveal the health of your business over time. Learn to read the signals and take action on what they reveal.

Anatomy of a Retention Curve

Retention curves show what percentage of a cohort remains active over time. Shape indicates business health and customer satisfaction trajectory.

Healthy vs Unhealthy Curves

Healthy curves flatten after initial drop, indicating stable long-term retention. Curves that never flatten indicate ongoing problems.

Identifying Inflection Points

Look for where retention stabilizes or accelerates decline. These inflection points indicate critical moments in the customer journey.

Taking Action on Insights

Target interventions at inflection points. If Day 30 is critical, focus onboarding improvements there. Match actions to curve signals.

Frequently Asked Questions

What is a good retention curve shape?

A curve that drops initially then flattens at a high level (70%+ for B2B, 40%+ for B2C). Continuous decline without flattening is concerning.

How do I compare curves across cohorts?

Overlay curves on the same chart normalized to cohort start. Look for improving or declining trends across successive cohorts.

Key Takeaways

Retention curves are one of the most powerful analytical tools available. Learn to read them and they will guide strategic decisions.

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