In buildPredict what's next
Time-to-event hazard
“When does churn risk spike?”
The danger zones by tenure — h(t) — where risk accelerates.
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What you receive
Where churn risk spikes, by tenure
Visual placeholderRisk curve · by tenureWhere churn risk spikes, by tenure
Departure risk at each point in a customer's tenure, rather than averaged across all of them. The peaks are where customers are most likely to go — early friction after onboarding, or the run-up to a renewal date — so retention effort can land before the spike instead of after it.
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The question it answers
Bring it in plain language.
- “Which months of tenure carry the highest risk of losing someone?
- “Are we losing customers during onboarding, or at renewal?
- “When should we intervene, before the drop-off starts?
What it does not do
Account start dates and exit dates across customer tenure. Two years of event 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.
The full detail lands when it certifies.
Included in every tier.See pricing →