Inactive List Reactivation Campaign with Behavioral Segmentation
Advanced segmented reactivation sequence by inactivity duration and historical behavior, with conditional automations and clear list hygiene criteria.
Recover maximum inactive subscribers with a time and behavior-segmented campaign, improving deliverability and revenue while cleaning out unrecoverable contacts.
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Prompt objective
Recover maximum inactive subscribers with a time and behavior-segmented campaign, improving deliverability and revenue while cleaning out unrecoverable contacts.
Real use case
MedShop, an e-commerce site for medical and hospital supplies with 52,000 email contacts, has 41% inactive subscribers (no opens in 90+ days). Deliverability has dropped to 82% and Gmail is filtering 35% of emails to Spam. Recovering 15% of inactives would represent $135,000 in additional revenue and restore domain reputation.
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Prompt
Create a complete inactive list reactivation campaign for [COMPANY NAME], with [NUMBER] contacts inactive for [PERIOD], using [EMAIL PLATFORM]. **Inactive list diagnosis:** - Total contacts: [NUMBER] - Inactive 90-180 days: [NUMBER] ([PERCENTAGE]%) - Inactive 181-365 days: [NUMBER] ([PERCENTAGE]%) - Inactive 365+ days: [NUMBER] ([PERCENTAGE]%) - Current inbox placement rate: [PERCENTAGE]% - Spam complaint rate: [PERCENTAGE]% - Overall list open rate: [PERCENTAGE]% **1) Pre-send behavioral segmentation:** Before any sends, segment inactives by: *Criterion 1 — Inactivity duration:* - Group A: 90-180 days → highest reactivation chance (high priority) - Group B: 181-365 days → moderate chance (medium priority) - Group C: 365+ days → low chance (last effort) *Criterion 2 — Purchase history:* - Past buyers who stopped opening (never lose one of these) - Leads who never purchased and stopped opening *Criterion 3 — Historical engagement level:* - Previously engaged (regularly opened and clicked) → worth more effort - Always had low engagement → lower priority **2) Warmup strategy to protect reputation:** *Never blast entire inactive list at once.* Gradual sending protocol: - Week 1: Group A (most recent) — verify deliverability - If okay (complaint rate < 0.1%): Week 2: Group B - If okay: Week 3: Group C - If problems: pause and investigate before continuing **3) Reactivation sequence by group:** --- **GROUP A (90-180 days inactive)** *Email 1 — Direct reconnection (Day 0):* Subject A: "[NAME], you vanished!" Subject B: "Missed you — we have news to share" Subject C: "[X] things new since you left" Content: - Tone: warm, human, pressure-free - Highlights: what's changed/improved since last interaction - CTA: "See what's new" (don't sell directly) - Alternative CTA: "Update my email preferences" *Email 2 — Pure value (Day 5, if Email 1 not opened):* Subject: different variations from Email 1 (don't repeat) Content: - High-value content (guide, checklist, tool) without selling - CTA: Download free resource *Email 3 — Incentive (Day 10, if not opened):* Subject: "A welcome-back gift, [NAME]" Content: - Exclusive offer for lapsed subscribers: [DISCOUNT/FREE SHIPPING/GIFT] - Validity: 72 hours (real urgency) - CTA: Redeem now *Email 4 — Goodbye (Day 15, if still not opened):* Subject A: "Can we keep going?" Subject B: "Before you go..." Content: - Honest: "We noticed you're not seeing our emails anymore" - Two buttons: - "I want to keep receiving" → maintain and move to engaged list - "Remove me" → immediate removal + gentle confirmation - No pressure, respect for privacy --- **GROUP B (181-365 days inactive)** *Email 1 — Nostalgia + news (Day 0):* Subject: "Remember us? What's changed in [X] months" Content: - Product/service transformations and improvements - Recent customer testimonials - CTA: Discover what's new *Email 2 — Best possible offer (Day 7, if not opened):* Content: - Most aggressive offer (they need stronger incentive) - [X]% discount or free product with purchase - Validity: 48 hours *Email 3 — Direct question (Day 12, if not opened):* Subject: "A quick question, [NAME]" Content: - One-click poll: "Why did you stop visiting?" - a) Received too many emails - b) Content wasn't relevant - c) Found another solution - d) No reason — keep sending! - Each response generates a tag for product improvement --- **GROUP C (365+ days inactive)** *Single email:* Subject: "This is our last attempt, [NAME]" Content: - Maximum transparency - Best available offer (high discount or complimentary product) - Two clear buttons: continue / remove - If not opened in 7 days: remove from active list permanently **4) Conditional automations:** | Contact action | Automatic trigger | |----------------|--------------------| | Opened any email | Enter normal active campaign (exit reactivation) | | Clicked any link | Tag: reactivated — behavior analysis | | Purchased | Tag: reactivated customer — enter post-purchase flow | | Clicked "I want to continue" | Tag: confirmed — engaged list | | Clicked "Remove me" | Immediate unsubscribe + gentle confirmation | | Didn't open any in 15 days | Move to suppressed list (don't remove — may return organically) | **5) Metrics and expected results:** | Metric | Group A | Group B | Group C | |--------|---------|---------|--------| | Expected open rate | 15-25% | 8-15% | 3-8% | | Reactivation rate | 10-18% | 5-10% | 1-5% | | Unsubscribe rate | 5-10% | 10-15% | 15-25% | *Expected deliverability impact:* - After removing inactives: inbox placement rises from [X]% to [X]% - Estimated list cleanup: [X]% of contacts removed - Resulting healthy list: [NUMBER] highly engaged contacts **6) Preventing new inactive accumulation:** - Sunset policy: contact inactive for [NUMBER] days → automatic reactivation flow - Semi-annual list audit + hard bounce cleanup - Preference center: allow subscribers to control frequency and topics
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- 1Replace the key placeholders first: COMPANY NAME, NUMBER, PERIOD, EMAIL PLATFORM.
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