winback-list-builder

Name: winback-list-builder
Availability: InStock
Author: Gorgias

Segment Gorgias customers by CSAT scores and activity windows for re-engagement exports.

2|Updated Jun 4, 2026

Search Tags:#support #retention #segmentation #gorgias #csat #winback

Ready to run

npx skills add https://github.com/gorgias/mcp-cookbook --skill winback-list-builder

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: winback-list-builder
Source: https://github.com/gorgias/mcp-cookbook/tree/main/recipes/winback-list-builder
Command: npx skills add https://github.com/gorgias/mcp-cookbook --skill winback-list-builder

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the challenge of identifying high-potential customers who have had negative experiences, allowing you to re-engage them with personalized offers rather than generic marketing.

Core Features & Use Cases

Segment Identification: Automatically filters support tickets for low CSAT scores, unresolved issues, or long periods of inactivity.
Actionable Export: Formats customer data into clean lists ready for import into email or SMS marketing platforms.
Use Case: Use this to identify customers who left a low CSAT score due to a shipping delay and generate a list for a targeted apology and discount campaign.

Quick Start

Use the winback-list-builder skill to identify customers who left a CSAT score of 3 or lower in the last 90 days and format them for an email campaign.

Frequently Asked Questions about winback-list-builder

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

FAQPage Schema

How do I build a win-back list from Gorgias support tickets with low CSAT scores?▼

Build a win-back list by using this Skill to filter Gorgias support ticket metadata for low CSAT scores and inactivity periods, outputting a structured customer export list ready for re-engagement campaigns.

Can I segment customers for targeted re-engagement based on unresolved support issues?▼

Segment customers for targeted re-engagement by filtering support interaction history for unresolved issues and negative sentiment signals, generating clean lists to import into email or SMS marketing platforms.

Do I need a specific connector to extract customer support history for win-back segmentation?▼

You need the Gorgias MCP connector to extract customer support history for win-back segmentation, as it queries ticket metadata, CSAT scores, and activity windows required to generate the export lists.

What is the best way to identify high-potential customers who experienced shipping delays for an apology campaign?▼

Identify these customers by filtering support tickets for specific issue criteria like shipping delays alongside low CSAT scores, then format the extracted customer data into a list for a targeted apology and discount campaign.

How does filtering customer activity windows improve retention campaigns?▼

Filtering customer activity windows improves retention campaigns by isolating users with long periods of inactivity or negative support interactions, enabling personalized offers rather than generic marketing messages.

What formats do the generated win-back customer lists support for marketing platform imports?▼

The generated win-back customer lists are formatted as clean, structured data exports ready for direct import into external email or SMS marketing platforms to facilitate targeted re-engagement.