Customer Health Score is a composite metric that combines multiple behavioral, engagement, and relationship signals to produce a single score indicating how likely a customer account is to renew, expand, or churn. It synthesizes product usage data, support sentiment, NPS, executive engagement, and contract signals into an early warning system for customer success teams. High health scores correlate with expansion revenue; low scores predict churn risk.
Health score models should be trained on historical churn data and validated by tracking whether low-scoring accounts actually churn at higher rates than predicted.
Health score models should demonstrate 70%+ accuracy in identifying accounts that churn vs. those that renew within 90 days of score calculation.
Each function reads CHS through a different lens and takes different actions when it changes.
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Metrics that are commonly analyzed alongside CHS.
See how each role uses CHS in context with the full set of metrics they own.
askotter connects your data sources and applies causal analysis to tell you exactly why your metrics are changing, not just that they changed.
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