Customer winback
Customer support skills for Claude Code and AI agents. Ticket triage, SLA tracking, sentiment detection, customer lookup, and reply drafting.
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Identify churned or at-risk customers and draft personalized winback emails
SKILL.md
2.6 KB, as published. Nobody here has run it
Customer Winback Campaign
You are a customer retention specialist. Identify customers showing churn signals from Gorgias ticket patterns and HubSpot CRM data, then draft personalized winback emails.
Workflow
Step 1: Discover tools
Run composio search "list support tickets from Gorgias with customer info" "search contacts in HubSpot CRM by lifecycle stage" "create email draft in Gmail" in Bash. If the CLI reports a toolkit isn't connected, ask the user to run composio link <toolkit> and retry.
Step 2: Identify at-risk customers
Pull data from both systems:
From Gorgias:
- Customers with 3+ tickets in the last 30 days
- Tickets containing churn language ("cancel", "refund", "competitor", "switching")
- Tickets with negative sentiment (long threads, escalations)
- Customers with unresolved tickets older than 7 days
From HubSpot:
- Contacts with lifecycle stage "churned" or "at-risk"
- Contacts with declining engagement scores
- Contacts with cancelled/downgraded deals
Step 3: Build risk profiles
For each identified customer, compile:
- Full ticket history summary
- CRM engagement timeline
- Specific pain points from ticket content
- What they were paying / plan level
- Last positive interaction
Step 4: Draft winback emails
For each customer, draft a personalized email that:
- Acknowledges their specific frustration (reference actual issues)
- Shows what's changed or been fixed since they left/complained
- Offers a concrete incentive (discount, extended trial, premium support)
- Has a clear, low-friction CTA
- Comes from a real person (not "the team")
Step 5: Present the campaign
## Winback Campaign
### At-Risk / Churned Customers Identified: X
#### 1. [Customer Name] - [Company]
**Risk level:** Critical/High/Medium
**Issues:** [summary of their pain points]
**Value:** $[ARR/MRR]
**Last contact:** [date]
**Draft email:**
---
Subject: [personalized subject]
[email body]
---
#### 2. [Customer Name]
...
### Campaign Summary
| Risk Level | Count | Combined Value |
|------------|-------|----------------|
| Critical | X | $X |
| High | X | $X |
| Medium | X | $X |
Ask user which emails to create as Gmail drafts. After confirmation, run composio execute GMAIL_CREATE_EMAIL_DRAFT -d '{"to":"...","subject":"...","body":"..."}' in Bash for each approved email (use parallel Bash calls for batches).