customer-segmentation

Segment customers by purchase behavior, recency, and spend using RFM analysis.

44|7|Updated Mar 12, 2026
One-click install
npx skills add https://github.com/finsilabs/awesome-ecommerce-skills --skill customer-segmentation-finsilabs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: customer-segmentation
Source: https://github.com/finsilabs/awesome-ecommerce-skills/tree/main/skills/customer-crm/customer-segmentation
Command: npx skills add https://github.com/finsilabs/awesome-ecommerce-skills --skill customer-segmentation-finsilabs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps you divide your customer base into meaningful groups based on their purchasing habits, enabling highly targeted marketing campaigns and personalized customer experiences.

Core Features & Use Cases

  • RFM Analysis: Segment customers by Recency, Frequency, and Monetary value to identify your most valuable customers.
  • Behavioral Segmentation: Create segments based on specific actions, product views, or lifecycle stages.
  • Platform Integration: Works with Shopify, WooCommerce, BigCommerce, and custom platforms, integrating with tools like Klaviyo.
  • Use Case: Identify "Champion" customers (high spend, frequent, recent purchases) for exclusive early access to new products or VIP programs.

Quick Start

Use the customer-segmentation skill to create a segment of customers who have spent over $200 and made their last purchase within 60 days.

Frequently Asked Questions about customer-segmentation

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

FAQPage Schema
What is RFM analysis and how does it help with customer segmentation?

RFM analysis evaluates customer behavior by measuring Recency, Frequency, and Monetary spend to create behavioral segments. It identifies your most valuable buyers, enabling targeted marketing campaigns and personalized experiences based on purchase habits.

How do I create behavioral segments for Klaviyo using Shopify purchase data?

You can create behavioral segments by synchronizing your Shopify purchase data and applying rule-based evaluation. This Skill integrates with Klaviyo to build cohorts and target customers based on specific actions, spend, and recency thresholds.

Does customer segmentation work with WooCommerce and BigCommerce stores?

Yes, customer segmentation supports platform integration with WooCommerce, BigCommerce, and Shopify. It requires data synchronization to evaluate purchase behavior and recency, enabling effective customer lifecycle management across these e-commerce platforms.

How do I identify VIP customers for exclusive early access to new products?

Identify VIP buyers by running an RFM analysis to find "Champion" customers with high spend, frequent purchases, and recent transactions. You can then target these behavioral segments with exclusive early access or VIP programs.

What's the best way to target customers who spent over $200 recently?

Use rule-based evaluation to create a segment of customers who spent over $200 and made their last purchase within 60 days. This targeted marketing approach leverages spend and recency data for precise customer lifecycle management.

Do I need data synchronization to run cohort analysis on my customer base?

Yes, data synchronization is required for effective customer segmentation and cohort analysis. Syncing purchase behavior, recency, and spend data ensures accurate rule-based evaluation for platforms like Shopify, WooCommerce, and BigCommerce.