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TG3 SaaS/Glossary/Customer health score
SaaS metrics glossary

Customer health score.

A single number that tells you which accounts are thriving and which are about to leave. Here is how a customer health score works and how to avoid the common traps.

Definition
A customer health score is a composite number, built from usage, adoption and sentiment, that predicts whether an account will renew, expand or churn.

The point is early warning. A good health score flags a sinking account while there is still time to act, instead of surprising you at renewal. The danger is over-engineering it into a number nobody trusts.

How a health score works

How a customer health score works.

Usage  +  adoption  +  sentiment  =  health score
Usagelogin frequency, active seats, depth of use
Adoptionwhether key features are actually used
Sentimentsupport tickets, survey scores, the human signals

Validate the score against who actually churned, not who you assumed would, see net revenue retention.

Benchmarks

Why most customer health scores fail.

Teams pack a dozen weighted signals into a health score and trust none of it. A model built on three signals that actually predicted churn beats one with twenty guessed weights.

The only validation that matters is whether low-scoring accounts really churn more than high-scoring ones. If they do not, the score is decoration and worse, it gives a false sense of safety.

How to improve it

How to build a customer health score that works.

01

Start with a few signals

Three signals that predict churn beat twenty that feel thorough. Begin small.

02

Validate against churn

Check that low scores really do churn more. If not, the model is wrong.

03

Blend usage and sentiment

A heavily used account with an angry champion is not healthy. Mix the data and the human.

04

Act on the score

A health score nobody acts on is a dashboard ornament. Tie it to a play.

Common questions

Questions about customer health score.

What is a customer health score?+

A composite number, built from usage, adoption and sentiment, that predicts whether an account will renew, expand or churn.

What goes into a customer health score?+

Usually product usage, feature adoption and sentiment signals like support tickets and survey scores, weighted by what predicts churn.

Why do most health scores fail?+

Because teams stuff in too many guessed signals and never validate the score against who actually churned.

How do you validate a customer health score?+

Check that low-scoring accounts really churn at a higher rate than high-scoring ones. If they do not, fix the weights.

Blindsided by churn at renewal?

The 30-minute audit includes whether your health signals are predicting churn or just describing it. No sales sequence.

Book the 30-minute audit
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