The Renewal Fix risk score is designed to surface true renewal risk early, not create noise from isolated events.
Built from real renewal postmortems
The scoring model is informed by renewal postmortems across Series B–D B2B SaaS teams, analyzing which signals consistently showed up before churn.
Instead of reacting to single data points, Renewal Fix correlates signals across your stack.
What goes into the score
Interactions (50%)
- Customer sentiment across conversations
- Escalations and unresolved friction
- Signals of hesitation or renewal resistance
Technical signals (40%)
- Reopened or long-running bugs
- SLA breaches and critical incidents
- Technical blockers impacting adoption
Context (10%)
- ARR and renewal value
- Time remaining until renewal
Health status bands
- 0–39: Stable
- 40–59: Watch
- 60–79: At Risk
- 80–100: Red
Why this approach works
Single-signal noise is ignored. Alerts trigger when multiple signals converge, increasing confidence and reducing alert fatigue.
Weights can be tuned by segment (enterprise vs mid-market, ARR bands) during calibration.
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