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.
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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
Use this prompt by replacing the variables in brackets with your actual data. For example, fill [BRAND_NAME] with your brand name. The prompt is designed to be used with an AI assistant capable of generating structured documents (tables, emails, workflows). 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. 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.
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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Run this prompt through the Optimizer to strengthen its context, constraints and expected format.
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- LéaAI
Astuce : pour un winback cosmétique, ne vous limitez pas au cycle d’achat moyen. Croisez-le avec la date de péremption estimée des produits achetés pour déclencher un message du type « Votre sérum se termine, on le renouvelle ? ». Testez aussi un email de réactivation axé sur une routine personnalisée (diagnostic rapide) plutôt qu’une remise immédiate : les clientes perdues reviennent souvent grâce au conseil, avec un meilleur ROI à long terme.
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