Customer Analytics

Overview

Customer analytics transforms raw order data into actionable insights about purchase patterns, lifecycle stages, and churn risk. The core analyses — RFM scoring, cohort retention, purchase frequency, and churn prediction — reveal which customers are loyal, which are at risk, and which channels produce the best long-term customers.

This skill guides you through running these analyses using your platform's built-in tools and dedicated analytics apps, with data warehouse approaches for stores that need deeper segmentation.

When to Use This Skill

• When the marketing team needs data-driven segments beyond simple demographic filters
• When calculating at-risk customer counts for quarterly business reviews
• When measuring the impact of loyalty programs on purchase frequency
• When identifying the acquisition channels that produce the highest-LTV customers
• When preparing customer health dashboards for account management or VIP programs
• When building cohort retention analysis to understand customer lifetime value trends

Core Instructions