customer-health-score

Compute multi-dimensional customer health scores from purchase, engagement, value, and loyalty data.

1|1|Updated Apr 12, 2026

Search Tags:#personalization #lifecycle #data-analytics #retention #segmentation #customer-value #customer-health-score

Ready to run

npx skills add https://github.com/huifer/Shopilot --skill customer-health-score

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: customer-health-score
Source: https://github.com/huifer/Shopilot/tree/main/skills/customer-health-score
Command: npx skills add https://github.com/huifer/Shopilot --skill customer-health-score

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Customer health scoring consolidates purchase behavior, engagement, value, and loyalty into a single, interpretable score to identify at-risk customers, high-value opportunities, and intervention priorities.

Core Features & Use Cases

Health score across four dimensions (purchase behavior, engagement, value, loyalty) with a 100-point scale
Customer segmentation into VIP, Active, Dormant, and Churn with clear thresholds
Trend analysis and forecasting to guide proactive retention and growth
Configurable weights and export-ready reports for CRM and marketing automation

Quick Start

Provide a customer dataset and run the health-score analysis to generate a segment and actionable recommendations.

Frequently Asked Questions about customer-health-score

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I calculate a customer health score from purchase history and engagement data?▼

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.

What is customer health scoring used for in retention and segmentation?▼

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.

How do I segment customers into VIP, Active, Dormant, and Churn tiers?▼

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.

Can I export customer health scores to my CRM and marketing automation platforms?▼

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.

Does customer health scoring require any specific data dependencies or components?▼

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.

What's the best way to identify at-risk customers for proactive retention?▼

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.