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Deployed · cadence-pricedCertifiedPredict what's next

Contract Churn Risk

“Who won't be there at renewal?”

Which customers won't be there at their renewal date — each one scored against their own calendar.

Survival-informed (tenure-aware)
01
What you receive

Every renewal, ranked by risk of missing it

Visual placeholderRanked list · scoredEvery renewal, ranked by risk of missing it

A ranked list of customers approaching their renewal date, each scored by risk of missing it — against their own calendar, not a shared one. Delivered to your data environment so retention effort lands before the renewal, not after the lapse.

02
The question it answers

Bring it in plain language.

  • “Which customers won't renew at their date?
  • “Who approaching renewal needs attention first?
  • “Where should retention land before the contract lapses?
What it does not do
  • Explain why an individual scores high
  • Claim causal or uplift effects
  • Score without a defined renewal calendar
  • Show per-record scores in the app
Record-level history with each customer's renewal or contract date. Roughly two years of history. No modelling work on your side.
03
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.
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A deployed model, priced per brand on the page.See pricing →
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