customer-win-back-sequencer
For churned accounts, research what has changed since they left — new funding, team growth, competitor dissatisfaction, product updates that address their pain — then assess re-engagement potential and generate a personalized win-back email sequence with timing recommendations. Chains web research and LinkedIn monitoring with email sequence generation.
npx skills add gooseworks-ai/goose-skills --skill customer-win-back-sequencer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Customer Win-Back Sequencer Not every churned customer is gone forever. This skill identifies which ones to pursue, finds the right re-engagement angle, and generates a personalized win-back sequence. Timing and relevance are everything — no generic "we miss you" emails. **Built for:** Startups that have churned customers sitting in a spreadsheet with no plan to re-engage them. The best win-back campaigns are triggered by change — this skill monitors for those changes and strikes when the timing is right. ## When to Use - "Which churned customers should we try to win back?" - "Build a win-back campaign for [customer]" - "Research our churned accounts for re-engagement opportunities" - "Generate win-back emails for customers who left because of [reason]" - "Run the win-back scan on our churn list" ## Phase 0: Intake ### Churned Account Data 1. **Churn list** — CSV/sheet with: company name, domain, contact email, contact LinkedIn URL (if available), churn date, MRR at churn, churn reason (if known) 2. **Time since churn filter** — Min/max months since churn to consider (default: 3-18 months. Too recent = too soon. Too old = too stale.) 3. **Minimum value** — Only pursue accounts ab
- When to Use
- Phase 0: Intake
- Churned Account Data
- Product Context
- Sequence Preferences
- Phase 1: Churned Account Research
- 1A: Company Changes
- 1B: Contact Changes
- 1C: Competitor Dissatisfaction Signals
- 1D: Product-Churn Fit Analysis
- Phase 2: Win-Back Scoring
- Priority Tiers
- Phase 3: Sequence Generation
- Win-Back Sequence — High Priority (4 emails over 4 weeks)
What does the customer-win-back-sequencer skill do?
For churned accounts, research what has changed since they left — new funding, team growth, competitor dissatisfaction, product updates that address their pain — then assess re-engagement potential and generate a personalized win-back email sequence with timing recommendations. Chains web research and LinkedIn monitoring with email sequence generation.
How do I install it?
Run `npx skills add gooseworks-ai/goose-skills --skill customer-win-back-sequencer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From gooseworks-ai/goose-skills, a repository with 1,091 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.