In buildPredict what's next
Competing-risk churn
“Why are they leaving — and which way?”
Voluntary, involuntary, and upgrade-out — told apart.
01
What you receive
Churn split by how customers left
Visual placeholderBreakdown · by exit typeChurn split by how customers left
Churn separated by the way customers actually left — cancelling by choice, lapsing on a failed payment, or moving off the product onto something else. Treating those as one number hides which of them is growing, and each needs a different fix.
02
The question it answers
Bring it in plain language.
- “How much of our churn is payment failure rather than a decision?
- “Which segments are leaving by choice?
- “Are upgrades pulling customers off the product before renewal?
What it does not do
Customer start dates, exit events, and a recorded reason for each exit. 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.
The full detail lands when it certifies.
Included in every tier.See pricing →