- 2 dates: the cancellation minus the first warning signal.
- 60 to 90 days before cancelling is when signals appear (Statisfy, 26 June 2026).
- 90 days from a 4 March login drop to a 2 June cancellation (illustrative).
How do you calculate days of churn warning?
Days of churn warning is the date of the cancellation minus the date of the first warning signal on that account.
Its companion is the share of cancellations where any signal existed, divided by all cancellations.
What is a healthy days of churn warning?
Warning signals appear 60 to 90 days before a customer cancels, according to Statisfy (vendor guidance, 26 June 2026).
Statisfy puts the intervention window at roughly days 0 to 45. Healthy is 60 days or more of warning that someone used.
What does days of churn warning look like on real numbers?
A login drop flagged on 4 March before a cancellation on 2 June gives 90 days of churn warning (illustrative: 27 days left in March, 30 in April, 31 in May and 2 in June).
| Account | First signal and date | Cancellation date | Days of warning |
|---|---|---|---|
| Account A | Login drop, 4 March | 2 June | 90 |
| Account B | Missed payment, 10 April | 25 May | 45 |
| Account C | Support complaint, 1 May | 15 May | 14 |
That signal sat in your systems for all 90 days, so the warning came long before the email, didn't it? If your next cancellation is 60 days away, which client's logins fell this month?
Which seam does days of churn warning measure, and who owns it?
Days of churn warning is the first of two rates for seam 09, ONBOARD to RETAIN, the long middle of the customer lifecycle that sits between onboarding and renewal.
It is a revenue seam because onboarding hands the account over and account management meets it again at renewal, and a review every 90 days lands after a signal that began 60 to 90 days out. An AI employee reading your CRM, billing and help desk daily turns those dates into a call list, the habit behind failed payment recovery rate and refund rate first 60 days, with the signals that predict a cancellation as its guide. Saving 5 of 20 yearly cancellations on 100 clients at $50,000 keeps $250,000 (illustrative), so how many days of warning did your last three cancellations give you?
Forty five minutes counts the warning behind your last cancellations, in dollars.
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What else do people ask about days of churn warning?
Which signal starts the days of churn warning clock?
The first signal sitting in any of your systems: a usage drop over 30% month over month, a missed payment, a support complaint or a missed meeting. The earliest one sets the date.
Is days of churn warning the same as a customer health score?
No. A health score grades an account today. Days of churn warning is measured after a cancellation and shows how long the signal sat before anyone acted.
Can you measure days of churn warning without a data team?
Yes. List your last cancellations, find the first signal for each in your CRM, billing and support history, and subtract the two dates.