Free Tool

Customer Health Score Calculator

Calculate customer health scores across five key dimensions to predict churn risk and expansion opportunities. Get a composite health score with risk classification and recommended actions.

Customer Health Score Formula

Customer health scores aggregate multiple signals — product usage, support burden, satisfaction, renewal risk, and feature adoption — into a single 0-100 composite score. Higher scores indicate healthier, lower-churn customers.

Health Score = Weighted Average of (Usage + Support + NPS + Renewal + Adoption) × 100
Each dimension scored 1-10 and weighted by importance

Enter Customer Health Signals

Rate each dimension on a 1-10 scale for the customer you are scoring. For inverted metrics (higher = worse), the calculator automatically inverts the score.

1 = very low usage, 10 = daily power user
1 = very high ticket volume (bad), 10 = almost no tickets (good) — enter as-is, we handle the inversion
1 = very dissatisfied, 10 = strong promoter
1 = high churn risk (bad), 10 = renewal certain (good)
% of key features the customer actively uses

Customer Health Score Results

Overall Health Score
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Score out of 100
Risk Classification
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Health tier
Feature Adoption
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% of features in active use

Score Dimension Breakdown

Recommended Action

Customer Health Score Benchmarks

Healthy: 70-100 — Low churn risk, expansion candidate
At Risk: 40-69 — Monitor closely, proactive outreach needed
Critical: 0-39 — High churn risk, immediate intervention required

Download Customer Health Score Playbook

Get our playbook with health score templates, churn prevention plays, and expansion trigger criteria.

Customer Health Scores: Complete Guide

Customer health scores are the foundation of proactive customer success management. Instead of reacting to churn when it's too late, health scores give customer success teams an early warning system to identify at-risk accounts before they decide to leave.

Health Score Examples

Example 1: Healthy Customer

Product Usage: 9 | Support Tickets: 8 (few tickets) | NPS: 9 | Renewal Risk: 9 | Feature Adoption: 80%
Health Score: ~87/100 — Strong expansion candidate

Example 2: At-Risk Customer

Product Usage: 3 | Support Tickets: 2 (many tickets) | NPS: 4 | Renewal Risk: 3 | Feature Adoption: 25%
Health Score: ~27/100 — Critical intervention needed

How to Build a Health Scoring Model

Effective health scoring requires: identifying the 5-8 most predictive signals for your product (based on churn analysis), weighting signals by predictive importance, setting thresholds that match your historical churn patterns, automating score calculation via your CRM or CS platform, and creating playbooks for each health tier.

Customer Health Score FAQ

What signals should be in a health score?

The most predictive signals across industries: product login frequency, core feature usage depth, support ticket volume and sentiment, NPS/CSAT scores, stakeholder engagement, contract utilization %, and time since last executive sponsor contact.

How often should health scores be updated?

Health scores should update automatically based on real-time data triggers (support ticket filed, NPS response received, usage milestone hit). Manual review of scores should happen monthly for strategic accounts and quarterly for smaller segments.

What is a good customer health score target?

Target 70%+ of your customer base in the "Healthy" tier (70-100). If more than 30% of accounts are "At Risk" or "Critical," review your onboarding process, product adoption programs, and customer success coverage model.