← ClaudeAtlas

customer-win-back-sequencerlisted

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.
gooseworks-ai/goose-skills · ★ 727 · AI & Automation · score 82
Install: claude install-skill gooseworks-ai/goose-skills
# 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 above $X MRR? (Focus effort on worthwhile wins) ### Product Context 4. **Major product updates since churn** — What's new? (Features, pricing changes, integrations, performance improvements) 5. **Churn reasons addressed** — Which past churn reasons have you actually fixed? 6. **Current offer**