Cosmetics E-commerce Customer Winback Strategy
This prompt generates a complete customer winback strategy for a cosmetics e-commerce, including segmentation, personalized offers, and automation.
Paste in your AI
Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
You are a CRM consultant for a cosmetics e-commerce brand. Your mission: design a complete and actionable customer winback strategy.
Context:
- Brand [BRAND_NAME], segment [CLIENT_SEGMENT] (e.g., anti-aging skincare, clean makeup).
- Average basket: [AVERAGE_BASKET] €.
- Average purchase cycle: [PURCHASE_CYCLE] days.
- Active customer base: [NUMBER_OF_ACTIVE_CLIENTS] contacts.
Objectives:
- Define 3 segments of inactive customers (recent churn, dormant, lost) according to the RFM method (recency, frequency, monetary).
- For each segment, propose:
- A primary contact channel (email, SMS, push notification).
- A specific re-engagement offer (e.g., free sample, discount on best-sellers, accelerated loyalty program).
- 2 sample emails: a reactivation email with [EMAIL_SUBJECT] and a follow-up email after [FOLLOW_UP_DEADLINE] days.
- Automation: describe a workflow with triggers (e.g., 90 days without purchase), delays, and exit conditions.
- KPIs: indicate how to measure success (reactivation rate, ROI, average basket of winback customers).
- Cosmetics constraints: integrate GDPR regulation and sample management (expiration deadlines, cost of miniatures).
Expected deliverables:
- Segment table with RFM criteria.
- Email scripts (tone, CTA, visuals).
- A/B test plan for [VARIABLE_TEST] (subject line, offer, visual).
Resources: marketing budget of [BUDGET] €, team of [TEAM_SIZE] people, campaign duration [CAMPAIGN_DURATION] weeks.
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Why this prompt works
<p>Use this prompt by replacing the variables in brackets with your actual data. For example, fill <strong>[BRAND_NAME]</strong> with your brand name. The prompt is designed to be used with an AI assistant capable of generating structured documents (tables, emails, workflows).</p><p>For optimal use, prepare your RFM data and define your segments. The AI will propose concrete actions tailored to the cosmetics sector, such as sample offers or follow-ups after 90 days of inactivity. You can iterate on the prompt by adjusting variables.</p><p>Test the suggestions with A/B testing to validate reactivation rates. This prompt is suitable for marketers and CRM managers looking to increase customer retention with a data-driven approach.</p>
Use Cases
Expected Output
A structured document including: detailed RFM segmentation of inactive customers, per-segment sheets with channels and offers, scripts of 2 emails per segment, an automation workflow, tracking KPIs, and an A/B test plan.
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