crm-rfm-analysis

What problem does it solve?

SMEs often struggle to identify high-potential customers and allocate marketing resources efficiently. This skill uses the RFM model to classify customers by recency, frequency, and monetary value, enabling targeted retention and revenue growth.

Core Features & Use Cases

• RFM scoring and weighting customization to reflect industry dynamics.
• Customer segmentation into groups (Champions, Loyal, Potential Loyalists, Need Attention, About to Sleep, At Risk/Hibernating) with recommended actions.
• Outputs include segmented audiences, campaign playbooks, and automation triggers for CRM channels (email, Zalo/CRM).
• References to practical action guides and test data for validation.

Quick Start

Provide a dataset with Customer ID, Last Order Date, Total Orders, and Total Spent, and run the RFM analysis to generate segments and personalized retention campaigns.