Customer Health Score for SaaS at Series A
About This Metric
Composite score predicting customer retention likelihood based on usage, engagement, and support patterns.
Higher is better · Unit: score
How to Improve
Ehsan's Analysis
Customer health scores are the most overengineered metric in SaaS. Gainsight, ChurnZero, and others sell platforms that weight 15-30 variables into a composite score that CSMs then ignore because the score does not match their gut feeling. The companies with the most predictive health scores use 3-5 variables maximum: login frequency trend (not absolute), feature breadth (how many features used), support ticket sentiment (not volume), and executive sponsor engagement (not user count). Salesforce internal data shows that a customer's health score drops 40% predictive accuracy after the 5th variable — adding more inputs adds noise, not signal. The best health score I have seen: (weekly active users / total seats) × (features used / features available) × (days since last support escalation / 30). Three variables, one number, 80% accuracy in predicting 90-day renewal.
Ehsan Jahandarpour
AI Growth Strategist & Fractional CMO · Forbes Top 20 Growth Hacker · TEDx Speaker · 716 Academic Citations