A customer health score is a single composite metric that predicts churn risk and
expansion potential. Instead of monitoring 15 separate signals — login frequency, feature
adoption, support tickets, NPS, seat growth — you reduce them to a single number that
drives CS team action.
Why customer health scores reduce churn
Customer success teams that operate without a health score react to churn — they only
know a customer is at risk when they submit a cancellation request. Teams with health
scores can identify at-risk customers 60–90 days before cancellation, when intervention
is still possible.
In practice, customers with health scores below 40 churn at 3–5× the rate of customers
with scores above 70. A weekly review of all accounts below 50 — and escalation of
accounts below 35 — is a straightforward playbook that reduces churn 20–40%.
How the score is calculated
This calculator uses five dimensions weighted by their typical predictive power:
Dimension
Weight
What to measure
Product usage
30%
DAU (Daily Active Users), feature adoption, breadth of use
Engagement
25%
Login frequency, team adoption, email engagement
NPS / satisfaction
20%
Last NPS survey score or CSAT (Customer Satisfaction Score)
Score each dimension from 0 to 100 based on your customer's actual behaviour data.
The calculator computes the weighted composite score and recommends the appropriate
intervention level.
Enter your values above and results update instantly.
Frequently asked questions
What does this calculator do?
Score your SaaS customers by usage, engagement, and NPS to predict churn risk and identify expansion opportunities.
Customer Health Score for SaaS: Best Practices and Playbooks
How to build, score, and act on customer health scores in your SaaS business. Includes dimension weights, thresholds, and CS team playbooks.
A customer health score is the operating system of a proactive customer success team.
Instead of reacting to churn notices, CS teams with health scores can identify at-risk
accounts 60–90 days before cancellation — when intervention still works.
Building your health score
Most SaaS health scores use 4–6 dimensions weighted by predictive power. The most
common weighting:
Dimension
Typical Weight
Data source
Product usage
25–35%
Product analytics (Mixpanel, Amplitude, custom)
Engagement
20–30%
Login data, email open rates
NPS / CSAT
15–25%
Survey tools (Delighted, Typeform)
Support health
10–20%
Helpdesk (Intercom, Zendesk)
Expansion signals
5–15%
CRM, billing data
Acting on health scores
Score ≥ 80 (Healthy): Schedule a QBR, propose case study or expansion conversation.
Score 60–79 (Neutral): Monthly check-in. Look for product adoption gaps to fill.
Score 40–59 (At Risk): Assign a named CSM. Schedule an EBR within 2 weeks.
How to Reduce Customer Churn in SaaS: Proven Playbooks
Reduce SaaS churn with early warning systems, health scoring, and proven CS playbooks. Learn when to intervene and what actions actually work.
Churn is a SaaS company killer — not because a single month's churn is catastrophic,
but because it compounds. A company with 3% monthly churn loses 30% of its customer
base every year. The same company at 1% monthly churn retains 89% annually.
The three types of churn
Involuntary churn — failed payments. Fix this first: it's low-hanging fruit. Use
Stripe Radar, Paddle's dunning, or a tool like Churnkey to recover 30–50% of failed
payment churns through automated retries and personalized win-back emails.
Voluntary churn from dissatisfied customers — these customers wanted it to work but
didn't get value. Fix with health scoring + proactive CS outreach at-risk accounts.
Voluntary churn from wrong-fit customers — these customers churned because your
product was never right for them. Fix upstream with better ICP targeting and sales qualification.
Early warning signals
Login frequency dropping 50%+ from baseline
Feature adoption below 3 core features (for multi-feature products)
Customer Success Metrics Every SaaS Team Should Track
The 8 customer success metrics that actually predict retention and expansion — with formulas, benchmarks, and how to use each one.
Customer success is difficult to measure because the goal — retained and expanded
customers — is a lagging indicator. By the time churn shows up in your MRR, it's too
late to intervene. The metrics below measure leading indicators that predict retention.
2. Time to First Value (TTFV) — days from signup to first meaningful outcome.
Benchmark: < 7 days for self-serve, < 30 days for enterprise.
3. Feature Adoption Rate — % of customers using core features.
Benchmark: 70%+ for the top 3 features.
4. Net Revenue Retention (NRR) — MRR from existing customers (including expansion,
minus churn and contraction) / prior period MRR. Benchmark: > 100% (negative net churn).
Tools our audience uses alongside this calculator.
GainsightCustomer Success Platform
Enterprise customer success platform with health scoring, playbook automation, and risk alerts. Used by Salesforce, Workday, and thousands of SaaS companies.