Customer Health Score
A thermometer for every account
A customer health score is a single 0–100 composite of usage, support, and product-fit signals that predicts account health. It is the operational dashboard behind customer success at B2B companies.
What you will learn
- Design a health score from usage, sentiment, and support signals
- Weight and calibrate signals to historical churn
- Use score cutoffs to route accounts to playbooks
What is this?
A customer health score collapses many indicators — logins, feature adoption, support tickets, training usage, billing events — into one number that predicts renewal risk. It is usually a weighted sum normalized to 0–100, with thresholds like healthy (80+), watched (50–80), and at-risk (below 50).
Why do you need it?
- Customer success teams cannot read fifty metrics per account, but everyone can read one thermometer.
- It surfaces at-risk accounts months before renewal conversations.
- Weights can be derived from historical churn so the score actually predicts.
Mental model
Dozens of vitals for each account
A triage score at an emergency room
Triage collapses many signals into a severity number, and the number alone routes the patient to the right treatment track.
How it works
- Collect signals: login frequency, feature adoption depth, ticket counts, sentiment from surveys.
- Normalize each to 0–100 and weight by importance (fit, usage, sentiment).
- Sum to a composite score and validate against historical renewal outcomes.
- Define playbooks that trigger at each score band.
Signals are weighted into a composite health score that routes accounts to playbooks.
In production
- Customer success managers sort their book of business by health score daily.
- Renewal forecasting sums the expected value of healthy vs at-risk accounts.
- Onboarding is tuned to move new accounts quickly to healthy scores.
Best practices
- Validate the score against actual renewals and re-weight quarterly.
- Keep components transparent — an opaque score nobody trusts gets ignored, no matter how accurate.
Common mistakes
- Letting the score become a ladder of vanity widgets with no validation.
- Tracking the score less often than the health of accounts changes.
Debugging tips
- If scores never move, check that the raw signals are actually updating daily.
- If the score no longer correlates with renewals, re-check weights against the latest churn cohorts.
Interview checkpoint
Quick quiz
A health score is most valuable when it
Health score weights should be set from