What problem does it solve? Marketing teams often send the same message to their entire customer database, wasting budget and damaging sender reputation. This Skill turns raw CRM transaction and engagement data into a structured customer segmentation map based on the RFM model (Recency, Frequency, Monetary), so each group receives tailored campaigns. ## Core Features & Use Cases - RFM-Based Segmentation: Classifies customers into at least four segments (VIP/Champions, Loyal, New/Promising, At-Risk) using quantitative Recency, Frequency, and Monetary thresholds. - Segment Activation Playbooks: Defines channels, messaging, and CRM tagging actions for each segment, including win-back flows and VIP protection from mass discounts. - List Hygiene Guidance: Recommends 14-day segment refresh cycles and purging contacts inactive for 180 days to protect domain reputation. - Use Case: A CRM manager exports purchase history from HubSpot or Klaviyo and asks for a segmentation plan; the Skill produces a customer-segments.md deliverable with filter rules, revenue contribution estimates, and per-segment campaign strategies ready for automation handoff. ## Quick Start Ask the assistant to segment your CRM customer list using RFM analysis and generate the customer-segments.md file for your client project.