Customer Health Scoring
Build multi-dimensional customer health scoring models that predict retention and expansion likelihood. Combine product usage, engagement, support, and sentiment data for a complete view of customer health.
See Your Customers’ Health in Real Time
Customer health scoring is the cornerstone of proactive customer success. A well-built health score gives your team instant visibility into which customers are thriving, which need attention, and which are at risk.
What's Included in Customer Health Scoring
Multi-Signal Health Model
Combine product usage, engagement, support, billing, and sentiment signals.
Role-Based Scores
Different health score views for CSMs, managers, and executives.
Trend Analysis
Track health score trends over time to detect trajectory changes.
Alert System
Automated alerts when health scores drop below thresholds.
Predictive Accuracy
Continuously calibrate health scores against actual retention outcomes.
Health Dashboards
Real-time dashboards with portfolio-level and account-level health views.
How Teams Use Customer Health Scoring
Proactive CS
Moving from reactive to proactive customer management.
CSM Prioritization
Helping CSMs focus on accounts that need the most attention.
Executive Visibility
Giving leadership real-time visibility into customer portfolio health.
Why Customer Health Scoring Matters
Proactive Management
Catch at-risk customers before they decide to churn.
CSM Efficiency
Focus CSM time on accounts that need the most attention.
Predictive Insight
Health scores that accurately predict retention and expansion.
Data-Driven CS
Replace gut feelings with objective, quantifiable health data.
How We Deliver Customer Health Scoring
Data Assessment
Identify available data sources and health signal coverage.
Model Design
Design multi-dimensional health scoring model.
Calibration
Calibrate scores against historical retention and expansion data.
Deployment & Iteration
Deploy and continuously improve based on outcomes.
Technology Stack
Industries We Serve
Customer Health Scoring FAQs
Ideally: product usage data, support ticket history, engagement metrics, billing data, survey/NPS scores, and CSM interaction logs. We can build effective models with as few as 3-4 data sources.
Related Customer Success Operations Solutions
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