Upload Stripe subscription data, get MRR trends, growth decomposition, and churn metrics. Free.
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Analyze another fileTracks Monthly Recurring Revenue over time, decomposes it into growth components (new, expansion, contraction, churn), and analyzes performance by plan tier. The standard SaaS revenue lens.
Use this when you have Stripe subscription data and want to understand MRR trends, churn rate, and revenue composition.
If you need customer-level retention (not revenue-level), use Cohort Retention. If you need to predict who will churn, use Churn Prediction.
Built for: SaaS founder, VP Finance, revenue operations, board reporting
Typical data source: Stripe subscriptions export with customer IDs, plan amounts, start/end dates, and status
Stripe subscription data
Minimum 50 rows · Best with 200-5000 subscriptions
Analyze Monthly Recurring Revenue (MRR) trends, growth components, and churn metrics from Stripe subscription data. Tracks total MRR over time, decomposes revenue movement into new vs churned components, and benchmarks plan-level performance.
Total MRR over time. The slope is your growth rate. Flattening means new business is barely offsetting churn.
Decomposes each month into new MRR, expansion, contraction, and churned MRR. If churned consistently exceeds new, you're in net negative territory.
MRR contribution per plan tier. Shows which tier drives your revenue. Heavy concentration in one tier is a risk.
MRR, subscriber count, ARPU, and growth rate by month
Monthly churn rate and churned MRR. Healthy SaaS is under 5% monthly logo churn. Above 10% is a crisis.
Plain-English interpretation — what the numbers mean, what's significant, and what to do next.
Need something simpler? Simple Trend — Just need a revenue trend line without SaaS-specific decomposition
Need more power? Churn Prediction — Want to predict which subscriptions will churn next
Similar: Cash Forecast, Cohort Retention
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.
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