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.
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
Healthy vs Unhealthy Curves
Identifying Inflection Points
Taking Action on Insights
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.
Transform Your Revenue Analytics
Get ML-powered insights for better business decisions
Related Articles
AI Cohort Analysis 2025: ML-Powered Retention Predictions
AI-powered cohort analysis: use ML to predict retention, identify at-risk cohorts, and automate segmentation. Transform retrospective to predictive analytics.
Cohort Types 2025: Time-Based vs Segment-Based Analysis
Choose the right cohort type: time-based for trend analysis, segment-based for customer insights. When to use each approach for SaaS analytics.
Revenue vs User Cohorts 2025: Which Metrics to Track
Revenue cohorts vs user cohorts: when to track MRR retention vs logo retention. Different views for different SaaS business decisions.