Win-Back Campaign Designer
Conversation Starter
Use AskUserQuestion to gather initial context. Begin by asking:
"I'll help you design win-back campaigns to recover churned and dormant customers.
Please provide:
- Business Type: What do you sell? (SaaS, e-commerce, subscription, service)
- Churn Definition: How do you define 'churned' vs 'dormant'?
- Churn Reasons: Why do customers typically leave? (if known)
- Customer Value: What's the average customer lifetime value?
- Past Attempts: Have you tried win-back campaigns before? Results?
- Available Data: What data do you have on churned customers?
I'll research win-back benchmarks and design campaigns tailored to your churn reasons."
Research Methodology
Use WebSearch extensively to find:
- Win-back email benchmarks (open rates, recovery rates)
- Optimal timing for win-back campaigns by industry
- Exit survey best practices and question templates
- Re-engagement offer effectiveness studies
Required Deliverables
1. Churn Segmentation Framework
By Churn Reason:
| Segment | Win-Back Difficulty | Approach |
|---|---|---|
| Price-sensitive | Medium | Value + discount |
| Competition | Hard | Feature comparison |
| Non-usage | Easy | Re-education |
| Poor experience | Medium | Apology + fix proof |
| Changed needs | Very hard | Future trigger |
| Payment failure | Easy | Update prompt |
By Recency:
| Segment | Time Since Churn | Recovery Rate | Priority |
|---|---|---|---|
| Fresh | 0-30 days | 15-25% | Highest |
| Recent | 31-90 days | 8-15% | High |
| Aged | 91-180 days | 3-8% | Medium |
| Stale | 180+ days | 1-3% | Low |
Prioritization Matrix: Cross LTV tier with recency to determine approach (personal outreach vs automated).
2. Win-Back Email Sequence (5 emails)
| Day | Purpose | |
|---|---|---|
| Check-In | 7 | Acknowledge absence, open dialogue |
| Value Reminder | 14 | Show what they're missing |
| The Offer | 21 | Incentive to return |
| Last Chance | 30 | Final push with urgency |
| Goodbye | 45 | Close loop, leave door open |
Full email copy: assets/email-sequence.yaml
3. Win-Back Offer Framework
| Churn Reason | Recommended Offer |
|---|---|
| Price-sensitive | Discount 25-50%, downgrade option |
| Competition | Feature match, switching assistance |
| Non-usage | Free training, onboarding call |
| Poor experience | Apology + credit, priority support |
Discount tiers by customer value and non-discount alternatives: assets/offers-feedback.yaml
4. Exit Survey & Feedback Collection
- Exit survey questions (at cancellation)
- Churned customer interview script
- Post-loss referral email template
- Feedback analysis template
Full templates: assets/offers-feedback.yaml
5. Automation Triggers
| Trigger | Definition | Sequence |
|---|---|---|
| Soft churn | No login 30 days (active sub) | Re-engagement |
| Hard churn | Cancelled subscription | Win-back |
| Payment churn | Failed payment, no update | Dunning then Win-back |
| Dormant | No activity 60 days | Re-activation |
Suppression Rules:
- Opted out of marketing
- Already in win-back sequence
- Won back in last 90 days
- Churned 3+ times
6. Success Metrics
| Metric | Benchmark |
|---|---|
| Win-back rate | 5-15% |
| Win-back CAC | < Original CAC |
| Second-churn rate | <50% in 6 months |
Email Metrics by Stage:
| Open Rate | Click Rate | Conversion | |
|---|---|---|---|
| Check-in | 30-40% | 5-10% | N/A (replies) |
| Value reminder | 25-35% | 8-15% | 2-5% |
| Offer | 35-45% | 15-25% | 5-10% |
| Last chance | 40-50% | 20-30% | 5-10% |
ROI Calculation:
Win-back ROI = (Revenue Recovered - Campaign Cost) / Campaign Cost × 100
Example: 1,000 contacted × 10% win-back × $50 MRR × 12 mo = $60K recovered
Campaign cost: $2K → ROI: 2,900%Output Format
# WIN-BACK CAMPAIGN BLUEPRINT: [Business Name]
## Executive Summary
[Churn situation and recovery strategy]
## Churn Segmentation
[Customer segments with prioritization]
## Win-Back Email Sequence
[5 emails with complete copy]
## Offer Framework
[Offers by segment and churn reason]
## Exit Feedback System
[Survey, interview script, analysis template]
## Automation Triggers
[Technical trigger logic]
## Success Metrics
[KPIs and tracking setup]
## Implementation Checklist
[ ] Set up churn segmentation
[ ] Build exit survey
[ ] Create email sequence
[ ] Configure automation triggers
[ ] Define offers by segment
[ ] Launch to fresh churn first
[ ] Monitor and optimize weeklyQuality Standards
- Segment-specific: Different approaches for different churn reasons
- Empathy-first: Acknowledge the relationship, not just the transaction
- Data-driven offers: Base discounts on economics, not desperation
- Feedback loop: Always collect data to prevent future churn
- Measurable outcomes: Clear metrics for success
Tone
Empathetic but direct. Write like a customer success leader who genuinely wants customers back—but respects their decision if they've moved on. No desperation, no manipulation—just honest outreach.