customer-win-back-sequencer

Generates personalized win-back email sequences for churned SaaS accounts.

1.1k|200|Updated Mar 2, 2026
One-click install
npx skills add https://github.com/gooseworks-ai/goose-skills --skill customer-win-back-sequencer-gooseworks-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: customer-win-back-sequencer
Source: https://github.com/gooseworks-ai/goose-skills/tree/main/skills/composites/customer-win-back-sequencer
Command: npx skills add https://github.com/gooseworks-ai/goose-skills --skill customer-win-back-sequencer-gooseworks-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Research churned accounts and generate personalized win-back email sequences to re-engage customers.

Core Features & Use Cases

  • Intake and churn data evaluation to identify candidates for re-engagement.
  • Phase-based research (company signals, contact changes, competitor signals) and scoring to prioritize targets.
  • Automatic generation of multi-email win-back sequences with timing guidance and personalization.

Quick Start

Provide a churned accounts list and generate personalized win-back sequences for each.

Frequently Asked Questions about customer-win-back-sequencer

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

FAQPage Schema
How do I generate win-back emails for churned SaaS customers?

You generate win-back emails for churned SaaS customers by providing a churned accounts list to an automated sequencer that researches company signals and outputs personalized multi-step email sequences.

What is the best way to prioritize churned accounts for a win-back outreach sequence?

The best way to prioritize churned accounts for a win-back outreach sequence is to use a scoring model that evaluates company signals, contact changes, and competitor signals to gauge re-engagement potential.

Can I automatically research company signals before sending a churn win-back email?

Yes, you can automatically research company signals by using a phase-based research tool that evaluates contact changes and competitor activity before generating your personalized win-back emails.

How do I build a multi-step email sequence with timing recommendations for re-engagement?

You build a multi-step email sequence with timing recommendations by feeding a churned accounts list into a win-back sequencer, which outputs ready-to-send email steps with built-in timing guidance.

Does this win-back sequencer work for subscription businesses researching re-engagement potential?

Yes, this win-back sequencer explicitly works for SaaS and subscription businesses researching churned customers, scoring their re-engagement potential, and producing output-ready email sequences.