Churn prediction
Banchurn builds a behavioral baseline for your product and scores every customer against it. Falling engagement, dropped key features, and negative trait changes roll into an adaptive risk score and a ranked churn-indicator list: the early-warning signal that lets a save motion run before the cancellation, not the exit interview after it.
Churn is a lagging indicator you read too late
By the time a cancellation lands, the customer decided weeks ago. The usage was trending down, the key feature went cold, the logins thinned out, but nothing was watching, so there was no window to act.
The flow, end to end
Baseline
Banchurn learns your product's normal engagement from the event stream you're already sending.
Score
Each customer is scored against that baseline as their behavior and traits move.
Surface
The riskiest customers rise to the top of the churn-indicator list with their reasons attached.
Save
Wire the score to an automation so the retention motion fires the moment risk climbs.
What's in the box
Adaptive risk score
Every customer gets a live churn-risk score computed against your product's own baseline.
Product baseline
Banchurn learns what healthy engagement looks like for your product: no rules to hand-write.
Churn indicators
A ranked list of the customers most likely to leave, with the signals driving each one.
Sticky-feature analysis
See which features correlate with retention, and which customers have stopped using them.
Risk cohorts
Cluster at-risk customers so a save campaign targets a pattern, not one account at a time.
Wires to action
A rising score is an event: trigger a save journey or drop the customer into a win-back segment.
Your product's baseline, not a generic model
Risk is measured against how your customers actually behave, learned from your own events: engagement trend, key-feature usage, and adverse trait changes combine into an adaptive score that moves with each customer. No two products get the same yardstick.
- ✓Per-product behavioral baseline, learned from events
- ✓Engagement trend + feature drop-off + trait signals
- ✓Adaptive: the score updates as behavior moves
A score is only useful if it triggers something
A rising risk score emits an event like any other, so it can start a win-back journey, drop the customer into an at-risk segment, or raise an alert for a human. The prediction and the response live on the same platform: no export, no lag.
- ✓Risk crossings become events for automations
- ✓At-risk cohorts become live, targetable segments
- ✓Save motions run in the window before the cancel
Account signals
Score every account on fit, usage, intent, and risk, so you see who's ready to expand and who's slipping toward churn.
Learn moreProduct intelligence
Point your events at Banchurn and it names your features, maps your flows, and flags anomalies: heuristics first.
Learn moreSegments & lists
Dynamic, rule-based segments that keep themselves up to date, plus static lists you control by hand.
Learn moreStop losing customers you could have kept
Book a walkthrough and see churn prediction, account signals, segments, campaigns, destinations, and Autopilot working together, on one platform.