customer-health-score

To calculate a customer health score, consolidate purchase behavior, engagement, value, and loyalty data into a 100-point scale across four dimensions. This multi-dimensional scoring framework identifies at-risk customers and high-value opportunities using configurable weights and tier thresholds.

Customer health scoring consolidates behavior and loyalty metrics into an interpretable score to guide proactive retention. It segments customers into VIP, Active, Dormant, and Churn tiers, applying trend analysis and forecasting to prioritize targeted interventions for specific cohorts.

Segment customers into VIP, Active, Dormant, and Churn tiers by applying clear thresholds to a 100-point health score. This configurable framework evaluates purchase history, engagement, value, and loyalty dimensions to generate actionable segmentation for targeted marketing interventions.

Yes, you can export customer health scores to CRM and marketing automation platforms. The scoring framework generates export-ready reports containing individual or cohort segments and actionable recommendations, directly supporting downstream marketing automation and retention workflows.

Customer health scoring requires no specific dependencies or components. You simply provide a customer dataset containing purchase history, engagement, value, and loyalty data to run the health-score analysis and generate segmentation recommendations.

The best way to identify at-risk customers is implementing a multi-dimensional health score with trend analysis and forecasting. By applying configurable weights and tier thresholds to purchase and engagement data, you can accurately pinpoint intervention priorities for proactive retention.