Catch Churn Risk Before It's Too Late
Health scores that blend usage, engagement, and sentiment into one reliable signal, so CS acts on risk early, not at renewal.
Health Scoring Problems We Solve
One-Dimensional Scores
Health is judged on login counts alone, missing the real risk signals.
Too Late to Act
Risk surfaces 30 days before renewal, when there is no time to fix it.
Ignored Scores
CSMs do not trust the score, so they ignore it.
Health Scoring Services
A signal CS actually trusts
Health Score Design
Define what health actually means for your product and segments.
- Signal selection
- Weighting
- Segment models
- Thresholds
Multi-Signal Modeling
Blend usage, engagement, support, and sentiment.
- Usage data
- Engagement
- Support signals
- Sentiment
Early-Warning Alerts
Trigger the right playbook the moment risk appears.
- Risk alerts
- Playbook triggers
- Escalation
- Save motions
Score Validation
Prove the score predicts churn, and tune it.
- Back-testing
- Accuracy tracking
- CSM feedback
- Recalibration
Frequently Asked Questions
What makes a health score actually work?
It has to be multi-signal, segment-specific, and validated against real churn. A score CSMs trust and act on beats a perfect model nobody uses. We build for adoption first.
How long until it is reliable?
We can stand up a v1 score quickly from existing data, then validate and tune it over a couple of renewal cycles. Honest accuracy beats false precision.