Deployed · cadence-pricedCertifiedPredict what's next
Churn Risk
“Who's about to go quiet?”
Every active customer, scored and ranked on how likely they are to go quiet within a defined window.
Survival-informed (tenure-aware)
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What you receive
Every active customer, ranked by churn risk
Visual placeholderRanked list · scoredEvery active customer, ranked by churn risk
Every active customer, scored and ranked on how likely they are to go quiet within a defined window. Delivered to your data environment on release; the page carries the ranked, population-level shape. The top bands concentrate expected churn — the same retention effort covers a shorter, better list.
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The question it answers
Bring it in plain language.
- “Who is most likely to churn in the next quarter?
- “Which customers should retention focus on first?
- “Who belongs on the at-risk call sheet?
What it does not do
- Explain why an individual scores high
- Claim causal or uplift effects
- Score without a specific outcome, bar, and window
- Show per-record scores in the app
Record-level behavioural events with dates, and amounts if value defines the outcome. Roughly two years of history. No modelling work on your side.
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How it earns trust
Graded in the open, before you see it.
Proven on our published instrument. Re-certified on your data before anything releases.
Certified
Scores are certified out-of-time on your own history before anything ships — measured on records the model never saw, and refused below a data floor.
Trained on past, tested on future
The model is scored on rolling windows of your own history — trained on the past, tested on the future it hadn't seen.
Beats a baseline, and tracks reality
Ranking skill must beat a naive baseline and the scores must track observed frequency. The model earns its grade on both, or it doesn't publish.
Refused below the floor
Below a minimum of observed events, the run stops rather than certifies. A weak score is never shipped dressed as a strong one.
Rigour you can inspect is worth more than rigour you're asked to trust.
A deployed model, priced per brand on the page.See pricing →