We're not learning from churn

We're not learning from churn

Problem

Every month you report churn, and every month the number tells you nothing new.

You know how many customers left and roughly when. You do not know what they were trying to do, where it went wrong, or whether the next group will leave for the same reason.

So churn becomes a figure to explain in meetings rather than a problem the team can work on.

Insight

The reasons people leave are rarely in the dashboard.

Cancellation data shows the moment someone left. The cause usually happened weeks earlier: a setup they never finished, a feature they never found, a promise in the sales process the product did not keep.

You find those causes by talking to people who left and by comparing what they did with what loyal customers did at the same stage.

How we approach it

We turn churn from a number into a list of causes you can fix.

1. We interview a sample of recent leavers and read their support and usage history.
2. We compare their early behavior with customers who stayed and mark where the paths split.
3. We rank the causes by how many customers they cost and test a fix for the biggest one first.

Each month's churn review then ends with a decision, not just a chart.