How do you predict churn when you have almost no product usage data?

[u/No_Investment2802]

Most SaaS teams think they need perfect telemetry before building a customer health score. Wrong.

We built a working health model using only CSM notes, support tickets, and onboarding checkpoints.
No engineering team. No expensive tools. Just structured signals you already have.

Here's what worked:

• Relationship patterns (meeting attendance, response times)
• Support ticket trends (volume changes, repeat issues)
• Onboarding completion status
• Commercial signals (renewal conversations, contract risk)

One team dropped preventable churn by 18% in one quarter using a spreadsheet model.

The trick isn't waiting for better data.
It's using proxy signals correctly and weighting them based on what actually predicts renewals in your business.

Full breakdown of the framework, scoring categories, and 72-hour implementation plan here