TL;DR
RetentionLens gives finance leaders MRR, ARR, NRR, GRR and churn computed directly from Stripe, with cohort and survival analysis for defensible retention forecasting and predictive churn-risk scoring to anticipate revenue at risk. Because the metrics derive from the billing system of record, they hold up in board reviews and diligence.
For finance, the risk is not just knowing the numbers — it is being able to defend them. A retention figure that cannot be traced back to billing is a liability in a board meeting or a diligence process.
Spreadsheet models age badly: they are slow to refresh, easy to break, and hard for anyone else to audit. Meanwhile the question you actually need answered is forward-looking — how much revenue is at risk next quarter?
RetentionLens computes the metrics from Stripe so they reconcile to the source of truth, and layers predictive churn risk on top so your retention forecast is grounded in account-level signal rather than a flat assumption.
What gets in the way
- Retention figures that cannot be traced back to billing are hard to defend.
- Spreadsheet models are slow to refresh and break under scrutiny.
- Churn assumptions in the forecast are flat guesses, not signal.
- Diligence and board reviews demand reconciled, repeatable numbers.
How RetentionLens helps
Reconciles to the system of record
MRR, ARR, NRR, GRR and churn are computed from Stripe, so every figure traces back to billing — the version that survives audit and diligence.
Forecast retention, not just report it
Cohort and survival analysis show the real shape of retention decay, giving you a defensible basis for revenue-retention forecasting instead of a single blended rate.
Quantify revenue at risk
Predictive churn-risk scoring identifies which accounts — and how much MRR — are most likely to churn, so at-risk revenue is a number in your model, not a surprise.
Repeatable every period
The metrics refresh from live data, so the monthly and quarterly numbers are produced the same way each time without rebuilding a model.
Metrics you live in
Frequently asked questions
Can these numbers be reconciled to Stripe for audit?
Yes. They are derived from your Stripe billing data, so each metric traces back to the system of record rather than to a separate spreadsheet.
How does it help with revenue forecasting?
Cohort and survival analysis model how retention decays over time, and churn-risk scoring quantifies revenue at risk — together they give a defensible basis for retention forecasting.
Does it replace our financial model?
It feeds it. RetentionLens provides reconciled retention metrics and churn-risk inputs that you can pull into the broader financial model with confidence.
How current are the numbers?
They refresh from live Stripe data, so each reporting period is produced consistently from the latest billing state.
Other use cases
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Connect Stripe and RetentionLens builds your MRR, churn, cohorts and churn-risk scores automatically. Start on the free tier.
Use case last reviewed 2026-05-30.