How Churn Prediction Actually Works

Events power signals. Signals power health scores. Health scores drive intervention.

01
Events
Track behavior across product, support, engagement, outcomes, and relationships. Without coverage here, nothing downstream works.
Coverage = prediction quality
02
Signals
Summarize behavioral changes worth noticing — feature disengagement, integration failures, shrinking stakeholder depth.
Change, not just state
03
Health Scores
Combine signals into account-level risk states. Built on shallow inputs, scores produce red-yellow-green noise teams stop trusting.
Input quality determines trust
04
Alerts
Route risk states to the right team at the right moment. A richer event pattern tells you why to worry, not just that something dropped.
Why, not just what
05
Playbooks
Account-specific intervention flows driven by specific risk patterns — not generic check-in emails sent to anyone who went yellow.
Targeted action, not volume
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