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ohsonerdy
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winback-flows

Design lapsed-customer winback flows with recency segmentation and suppression rules.

Updated Aug 27, 2026
Search Tags:#customer segmentation#channel mix#lapsed customers#ecommerce winback#reactivation campaigns#offer ladder#do-not-contact suppression
One-click install
npx skills add https://github.com/ohsonerdy/openclaw-frontier-stack --skill winback-flows
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: winback-flows
Source: https://github.com/ohsonerdy/openclaw-frontier-stack/tree/main/skills/winback-flows
Command: npx skills add https://github.com/ohsonerdy/openclaw-frontier-stack --skill winback-flows

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps ecomm operators build effective winback/reactivation flows that segment lapsed customers correctly and avoid revenue-killing mistakes like one-size-fits-all discounting.

Core Features & Use Cases

  • Recency-based lapsed segmentation: Split lapsed customers into light, deep, dead, and cold bands using last-purchase recency (optionally via modern-mcp).
  • Offer ladder design: Choose incentive intensity by segment so you don’t train regular buyers to lapse for discounts.
  • Do-not-contact suppression: Exclude customers with refunds, quality complaints, NPS detractors, unsubscribe/list-cleanup signals, or cross-brand active status.
  • Channel mix recommendations: Select email as default and selectively add SMS, paid retargeting, direct mail, and phone outreach based on segment economics and engagement.

Quick Start

Use the winback-flows skill to generate a recency-based winback plan for customers who haven’t ordered in the last 6 months, including recommended offers and suppression rules.

Frequently Asked Questions about winback-flows

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build an ecommerce winback campaign for lapsed customers?▼

Designing a lapsed-customer winback flow requires segmenting buyers by recency, computing addressable value using AOV inputs, and selecting segment-appropriate channel sequencing while suppressing do-not-contact populations like recent refunders or NPS detractors.

What is the best way to segment lapsed customers for reactivation campaigns?▼

Segment lapsed customers into light, deep, dead, and cold bands using last-purchase recency to determine appropriate offer intensity and channel mix while preventing one-size-fits-all discounting that trains regular buyers to lapse.

Why should I suppress certain customers from my reactivation flows?▼

Suppressing do-not-contact populations like refunders, quality complaints, NPS detractors, and unsubscribes protects brand health and prevents sending reactivation discounts to customers who should not be solicited.

How do I prevent winback discounts from training regular buyers to lapse?▼

Prevent training buyers to lapse by using an offer ladder that aligns incentive intensity with recency segments, ensuring only appropriate lapsed bands receive discounts while active and do-not-contact populations are suppressed.

What channels should I use for customer reactivation campaigns?▼

Select email as the default channel and selectively layer SMS, paid retargeting, direct mail, and phone outreach based on segment economics and engagement to optimize reactivation campaign performance.

Can I use AOV tiers to calculate addressable value for lapsed customer files?▼

Compute addressable value by combining lapsed customer counts with AOV inputs across varying tiers, allowing you to determine segment-appropriate channel mix and outreach sequencing for reactivation campaigns.

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