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)

Email 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:

Email 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 weekly

Quality 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.