Shopify Customer Win-Back
Identifies, tags, and exports lapsed Shopify customers to streamline re-engagement marketing campaigns.
This skill empowers Shopify merchants to recover lost revenue by systematically identifying customers who haven't made a purchase within a specific timeframe. By filtering the customer base through configurable parameters like inactivity duration and minimum order history, it generates a detailed CSV export and applies Shopify tags automatically. It is an essential tool for creating targeted win-back email segments and cohort tracking, allowing marketers to focus on high-value repeat buyers who have gone quiet without manual data mining.
Key Features
01Advanced customer segmentation based on inactivity periods (default 90 days)
02Dry-run mode to preview segmentation results before applying live tags
03156 GitHub stars
04Automated Shopify tagging for seamless CRM and email marketing integration
05Comprehensive CSV export including emails, names, and lifetime order counts
06Customizable purchase history filters to distinguish loyal customers from one-time buyers
Use Cases
01Identifying repeat customers who haven't purchased in 3+ months to send targeted 'We Miss You' discount codes
02Cleaning up customer databases by identifying and tagging inactive accounts for segment exclusion
03Creating dated cohort tags (e.g., win-back-2025-01) for tracking the effectiveness of seasonal re-engagement campaigns