The retention metrics that actually predict churn

By the time a renewal is at risk in the pipeline, the useful window has usually closed. The signals that matter appear earlier and are less flattering to look at.

Signals worth instrumenting

• Weekly active accounts per customer, not total seats sold.
• Depth of use: how many distinct workflows are active.
• Admin engagement — when the internal champion stops logging in.
• Support sentiment trend rather than ticket volume.

One review, one owner

A weekly review of accounts crossing a defined threshold beats a sophisticated scoring model nobody acts on.

What to check before you commit

1. Instrument depth of use, not just logins.
2. Track champion activity explicitly.
3. Define one intervention threshold.
4. Review outcomes monthly and adjust the threshold.

A note on measurement

Teams that treat retention work as an engineering project usually measure the wrong thing. Instrument the business outcome first — cycle time, cost per transaction, resolution rate, revenue retention — then work backwards to the technical metrics that move it.