Churn predictionfor SaaS on Stripe.
Every paying Stripe customer gets a 0–100 risk score and plain reasons, ranked by money at risk.
Customer churn prediction software scores how likely each customer is to cancel, from signals such as failed payments, plan cuts and falling usage.
North Metric gives every paying Stripe customer a risk level, a 0–100 risk score and up to three dated reasons, then ranks them by MRR × risk so the biggest dollars come first.
How the risk scorereads your Stripe data.
The score starts from Stripe billing and adds usage matched to how each customer pays. The churn risk guide covers the signals in depth.
Which signalspoint to churn.
Billing signals come from Stripe; usage drops come from PostHog or Stripe Meters. Each flag becomes one move, approved by you or run by your rules.
Ranked by moneyat risk, not score.
Ranked by money at risk, not by score alone. Example: a $3K/mo customer scored 60 comes before a $90/mo customer scored 95.
Churn prediction vschurn prevention.
Prediction tells you who is likely to leave. Prevention is what you do next, and whether it worked. North Metric does both.
What happens aftera customer is flagged.
A flag becomes one drafted move in your Queue, chosen by customer type and the top reason.
Approve it, edit it or skip it, or let a rule run it within the limits you set.
Locked moves, such as price changes, always ask. Your approvals and rules decide what runs on its own.
Before anything is sent, North Metric re-checks Stripe. If the trigger cleared, the card closes as resolved on its own.
Customers who stay after a move count as Kept MRR, tied to invoices, and a comparison group shows what changed. Read how we measure money kept.
Questions aboutchurn prediction.
It scores Stripe billing signals, such as failed payments, seat or plan cuts, scheduled cancels and discounts ending, plus usage drops from PostHog or Stripe Meters. Each customer gets Likely, Possible or Safe and a 0–100 score, with up to three reasons.