Spotting churn risk before they tell you

The short answerMost health scores are built on logins, which tells you a tab was opened. The signals that actually predict a renewal are usage depth, the number of distinct active users, and whether your champion is still in the building. All three are visible ninety days out, and in most companies none of them reach the person who owns the account.

Signals that predict churn, in order of how early they fire

Champion departureStrongest single predictor, easiest to detect, rarely watched.Turn alerts on today

Usage depth fallingNot logins. Which features, how often, by how many people.Ninety days of warning

Active users shrinkingA product used by one person is a product that leaves with them.Breadth matters most

Support tone shiftingVolume rising while sentiment falls is a reliable tell.Conversation data

Executive sponsor gone quietNo contact with the budget holder in a quarter.Easy to query

Invoice frictionLate payment, questions about terms, procurement reappearing.Finance sees it first

Where this ends up

Renewal risk looks like deal risk in reverse.

Kaypo reads the same engagement signals on existing accounts, so a quiet thread or a disappearing champion surfaces before the renewal date rather than after.

$99 a month, or free with the retainer

See how Kaypo works

# revenue, 7:00am

Northwind Health84 ▲

Cascadia Systems71 ▲

Meridian Labs38 ▼

Procurement joined the Northwind thread Tuesday

What this looked like in practice

churn 20% to 8%

Health was measured by logins, so nobody saw churn coming. Rebuilding it on real usage and moving the renewal signal to ninety days out took churn from 20 to 8 percent year over year.

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Questions

What predicts churn before a customer tells you?

Champion departure, falling usage depth, a shrinking number of distinct active users, and the executive sponsor going quiet. All are visible around ninety days out.

Why do login based health scores fail?

Because a login tells you somebody opened a tab. Depth of use and breadth of active users tell you whether the product is load bearing.

How far ahead should a renewal signal fire?

Ninety days at minimum. A signal in the renewal month produces a price negotiation rather than a value conversation.

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How do we know which customers are at risk before they tell us they are leaving?