Churn caught 45 days early. Delivered to your CS team. Nothing to manage.
We connect to your Stripe data, score every customer for churn risk, and send your CS team a specific action for every at-risk account — every week. No dashboards to monitor. No spreadsheets to maintain. No models to configure. Just the accounts your team needs to call, and what to say. Deployed in under a day.
No dashboards to babysit. No spreadsheets to maintain. Churn intelligence delivered automatically — straight to your team's inbox and Slack.
The Difference
How It Works
Everything Included
No dashboards to babysit. No spreadsheets to maintain. Churn intelligence delivered automatically.
Common Questions
How much internal resource does this require to set up and run?
Setup requires read-only access to your Stripe account — we handle everything else. Ongoing management is zero. Weekly reports are delivered automatically. Your CS team receives Slack alerts with specific recommended actions. There is no dashboard to check, no model to retrain, and no data work required from your team.
How quickly can we get started?
We connect to Stripe and your product data in under a day. No engineering resource required from your side. Your first full churn risk analysis — including which of your current customers are already at risk — is ready within 24 hours of setup completion.
What data do you need?
At minimum, read-only access to your Stripe account. Optional: Mixpanel/Amplitude for product usage data, or a CSV export. The more data, the more accurate the model.
What if we don't have product analytics set up?
Stripe data alone gives us billing signals (payment failures, downgrades, inactivity). A CSV of usage data works too. We work with what you have.
How accurate is the churn prediction?
Typically 75–85% precision in the first month, improving to 90%+ over 3 months as the model learns your customer patterns. We track every prediction against actuals so you can see proof.
What does the discovery call show?
We'll pull your Stripe data live and show you which of your current customers are at risk right now — before you commit to anything.
The average SaaS company loses 5–7% of revenue per year to churn that was predictable.
We show you exactly which accounts are at risk right now — using your live Stripe data — before you commit to anything. Setup takes under a day. Your first risk report is ready in 24 hours. You only pay at Day 45, once the model has proven it catches churn before it happens.