Cohort Retention Curve Generator
Visualize how your customers retain over time. Enter a churn rate or paste real cohort data to generate your retention curve.
What is a Cohort Retention Curve?
A cohort retention curve tracks how many customers from a specific sign-up cohort remain active over time. Instead of looking at aggregate churn numbers, cohort analysis lets you see whether your retention is improving or degrading month over month by comparing different groups of customers side by side.
This is one of the most important charts for any SaaS business because it reveals the true shape of your customer lifecycle. A steep initial drop followed by a flattening curve is healthy, it means you have a core group of sticky users. A curve that never flattens signals a product-market fit problem.
How to Read a Retention Curve
The x-axis represents months since sign-up, and the y-axis shows the percentage of the original cohort still active. Month 0 always starts at 100%. The steeper the curve, the faster you're losing customers. Look for the “elbow”, the point where the curve flattens, as it indicates your natural retention floor.
Compare your curve against benchmarks: best-in-class B2B SaaS retains 95%+ monthly, while average companies see 90-95%. Use our Churn Rate Calculator to quantify your exact monthly and annual churn rate.
What's a Good Retention Rate?
For B2B SaaS, a monthly retention rate above 95% (under 5% churn) is considered good. Enterprise products often achieve 98-99% monthly retention. Consumer and SMB products typically see higher churn, 7-10% monthly is common. The key metric is whether your retention curve eventually flattens, indicating a loyal core user base.
To understand the revenue impact of your retention rate, try our LTV Calculator to see how customer lifetime value changes with even small improvements in retention.
How to Improve Retention
Start by identifying when customers leave. If the biggest drop happens in month 1, focus on onboarding. If churn is steady across all months, the problem is likely product value or competition. Analyze your cancellation feedback to find the root causes · RetentionCheck can categorize and prioritize this feedback automatically.
Even a 1% improvement in monthly churn compounds dramatically over 12 months. This tool shows you the “1% less churn” line so you can visualize the compounding impact of small retention improvements on your customer base.
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Used by founders to analyze real cancellation feedback