SaaS Retention Curve & Plateau Plotter
Model your SaaS retention curve and identify your retention plateau. Free interactive browser tool for product founders and growth engineers.
Calculated Results
Estimated Retention Plateau
38.3%
Month 3 Retained
78.7%
Month 6 Retained
61.9%
A horizontal flattening curve indicates healthy product-market fit.
About this tool
A retention curve visualizes the percentage of users or subscribers who continue using and paying for your software over successive days, weeks, or months following signup. The hallmark of true product-market fit is a retention curve that flattens out parallel to the x-axis, creating a stable 'retention plateau.' If your retention curve continuously slopes downward toward zero with no flattening, your product has an existential retention flaw that more acquisition spend cannot resolve. By plotting your decay factor and observing where user attrition stabilizes, founders can identify the exact time window when product engagement becomes habitual. Use this plotter to model exponential retention decay and set realistic benchmarks for customer lifecycle campaigns.
How It Works
- 1Set your starting evaluation timeframe (Day 0 / Month 0 = 100%).
- 2Adjust the monthly decay factor based on your observed customer attrition.
- 3Choose the number of projection intervals (up to 12 or 24 periods).
- 4Review the projected retention curve and your estimated cohort plateau percentage.
Formula & Math
Transparent LogicRetention(t) (%) = 100 × e^(-decayFactor × t)
Worked Practical Example
An AI copywriting SaaS models customer retention over 12 months with a decay parameter of 0.08.
Calculation / Steps
At Month 6: 100 × e^(-0.08 × 6) = 61.9%. At Month 12: 100 × e^(-0.08 × 12) = 38.3%.
Expected Result
The curve flattens toward a 38.3% long-term plateau.
Frequently Asked Questions
What indicates true product-market fit on a retention curve?+
A curve that flattens and remains horizontal over time indicates a core group of users who receive persistent, indispensable value from the product.
What is the difference between day-1, day-7, and day-30 retention?+
Day-1 retention tests setup clarity; Day-7 tests the initial 'aha' moment; Day-30 reflects whether the product has become an integrated part of the user's workflow.
How can I raise the plateau of my retention curve?+
Focus on proactive onboarding, guided workflow completion, and intercepting disengaged users before they hit the cancellation button.
Automate retention on your cancel button
BoolBul elevates your retention plateau by converting disengaged or seasonal accounts into paused subscriptions rather than permanent churn.
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