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E-commerce

Customer Segments & Win-back

Segments your customers by real behavior and stages tailored win-back, VIP, and upsell outreach for approval.

Retention outreach dies in 'someday' because segmenting is a project. This makes it a run: who's lapsing, who's worth saving, and what to say — staged for approval.

Best forB2BB2b2cB2C
Agents5 required
Duration4-6 minutes

Segments your customers by real behavior and stages tailored win-back, VIP, and upsell outreach for approval. Retention outreach dies in 'someday' because segmenting is a project. This makes it a run: who's lapsing, who's worth saving, and what to say — staged for approval.

How it runs

Multi-agent orchestration — here's the flow, step by step.

01

Pull the customer base with order histories: first/last order dates, order counts, lifetime spend, AOV, and product affinities.

ecommerce scanner
02

Segment on behavior: VIPs (top-decile LTV), loyal regulars, one-time buyers worth developing, lapsing (no order in their normal cycle x1.5), and churned (x3). Compute each segment's size, value, and trend.

clv analyst
02

Score the lapsing segment for win-back receptivity: recency vs their personal cadence, past responsiveness, and cart history. Rank who is worth the outreach spend.

churn predictor
03

Draft segment-tailored outreach: win-back notes with a specific reason-to-return per audience tier, VIP thank-yous, and upsell angles grounded in each customer's actual purchase history. Personal fields come from real data — never merged-field guesses.

content writer
04

Stage the campaign package: segment table, draft messages per segment, and the approve list. Sends only on approval via the connected channel; without one, the package waits in-hub with copy-paste-ready drafts.

distributor

Required Agents

5
  • ecommerce-scanner
  • clv-analyst
  • churn-predictor
  • content-writer
  • distributor

Connections

Required

gmailshopifyverslay

Optional

gmailresendverslay

What it does

  • Behavior-based segments from real order history — VIP, lapsing, churned, developable
  • Win-back receptivity scoring so outreach spend targets the savable
  • Personalization from actual purchase history, not name-merge tokens
  • Segment-sized offers consistent with customer value
  • Approve-gated sends; in-hub drafts when no channel is connected

Example prompt

Segment my customers and draft the win-back outreach for everyone going quiet.

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