Definition
A customer health score is a composite metric that estimates churn risk using product usage, support signals, and account context.
How to use it
- Build health scores from behaviors that predict churn in your cohorts (not opinions).
- Use scores to trigger interventions, then validate impact on retention.
Common mistakes
- Using a health score that is not validated against churn outcomes.
- Changing score definitions without versioning, which breaks comparisons.
Measured as
Measure Customer Health Score on the same customer segment, time window, and revenue basis each time you review it.
Misused when
- Using a health score that is not validated against churn outcomes.
- Changing score definitions without versioning, which breaks comparisons.
Operator takeaway
- Build health scores from behaviors that predict churn in your cohorts (not opinions).
- Use scores to trigger interventions, then validate impact on retention.
- Keep Customer Health Score consistent by cohort, segment, and period before you use it as a decision signal in planning or reporting.
- Interpret the metric alongside retention, margin, or payback so one ratio does not hide the real operating trade-off.
Next decision
- Read Retention & churn hub: cohorts, GRR/NRR, and retention curves if the decision depends on interpretation, policy, or trade-offs beyond the raw formula.
- Decide whether Customer Health Score is a growth, retention, or efficiency signal before you set targets around it.
Where to use this on MetricKit
Guides
- Retention & churn hub: cohorts, GRR/NRR, and retention curves: A practical hub for retention measurement: churn rate, GRR/NRR, cohort retention curves, and how to set retention targets without getting misled by noise.
- Cohort analysis playbook: retention curves, LTV forecasting, and payback: A practical cohort analysis workflow: build retention curves, forecast LTV, and translate retention quality into payback and growth decisions.