Upload Stripe subscription data, identify at-risk accounts and MRR at stake. Free.
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Running stripe subscription churn analysis analysis...
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Analyze another fileIdentifies at-risk subscriptions from billing data by analyzing churn rates, MRR at risk, and patterns by plan tier and subscription age. Segments customers by churn risk to prioritize retention efforts.
Use this when you have Stripe subscription data and want to understand churn patterns and identify which subscriptions to save.
If you need revenue decomposition (not churn), use MRR Analysis. If you need general customer retention curves, use Cohort Retention.
Built for: Customer success manager, SaaS founder, retention marketer, VP Growth
Typical data source: Stripe subscriptions export with plan details, trial info, cancel dates, and billing method
Stripe subscription billing data
Minimum 50 rows · Best with 200-5000 subscriptions
Analyzes Stripe subscription data to measure churn rates, identify at-risk subscriptions, calculate MRR at risk, and segment churn patterns by plan tier and subscription age. Provides actionable insights to reduce subscriber attrition.
Current subscription status distribution. High past_due count is an early warning — these often convert to canceled.
Active subscriptions and MRR by plan tier. Shows where revenue is concentrated and which tiers have the highest churn.
Subscriptions segmented by churn risk level. Focus retention resources on the high-risk segment with the most MRR at stake.
MRR at risk from each risk segment. Sometimes saving 10 high-value subscriptions matters more than 100 low-value ones.
Churn rate by subscription age. Most churn happens in the first 90 days. If yours extends beyond that, onboarding may be the problem.
Subscriptions currently in at-risk statuses with MRR exposure
Trial-to-paid conversion rate. Below 40% means the trial isn't demonstrating enough value. Above 60% is best-in-class.
Plain-English interpretation — what the numbers mean, what's significant, and what to do next.
Need something simpler? Cohort Retention — Need retention curves, not churn prediction
Need more power? Proportional Hazards — Need survival analysis with hazard ratios and time-to-event modeling
Similar: Mrr Analysis, Churn Prediction
See our FAQ for details on pricing, data privacy, and how the analysis works. Every report includes a Methodology section showing the statistical test, assumptions checked, and diagnostics run.
Run any analysis on your own data — 60+ validated R modules, interactive reports, AI insights, and PDF export.
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