Launch Your Cosmetics Sales Campaign: B2B E-commerce Strategy
Generate a B2B cosmetics sales campaign plan with objectives, segmentation, mechanics, and KPIs.
Paste in your AI
Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
You are a digital marketing consultant specialized in cosmetics and beauty. Create a sales and promotions campaign plan for a B2B cosmetics e-commerce site targeting professionals. The budget is [PROMOTIONAL_BUDGET], the duration is [DURATION_DAYS] days, and the main target is [CLIENT_SEGMENT] (e.g., spas, institutes, wholesalers).
Objectives:
- Increase order volume by [VOLUME_OBJECTIVE]%
- Reduce stock of slow-moving products (listed in [STOCK_LIST])
- Acquire [NUMBER_OF_NEW_CLIENTS] new professional clients.
The plan must include:
- B2B segmentation: by client type (spa, salon, reseller), by average purchase volume, by seasonality (e.g., pre-summer peak for sunscreens).
- Promotional mechanics: progressive discounts (e.g., -10% from €500, -15% from €1000), referral offers, free bundles, exclusive samples.
- Levers: personalized emailing on [EMAIL_SEGMENT], phone follow-ups for inactive clients, LinkedIn ads targeting beauty decision-makers, dedicated landing page with urgency (timer).
- Cosmetic regulatory constraints: do not mention therapeutic claims, comply with authorized claims, use compliant visuals.
- KPIs: revenue, average basket, repurchase rate, margin after discount, customer acquisition cost (CAC).
Provide a retroplanning with key actions per day, and an email template for the promo announcement. Write in French, results-oriented.
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Why this prompt works
This prompt allows you to create a tailor-made promotion campaign for a B2B cosmetics e-commerce site. Use it by replacing the [VARIABLES] with your actual data: budget, duration, client segment, volume objectives, list of products to clear, number of new clients targeted, and email segments. The prompt forces consideration of regulatory constraints specific to cosmetics (claims, visuals) and B2B specifics (segmentation by client type, progressive discounts, longer sales cycle). For optimal use, prepare your data in advance: list your overstock products, define your professional client segments (spas, salons, resellers), and set quantified objectives. The prompt generates a retroplanning and an email template, directly actionable elements. Adapt the tone and offers according to your positioning: premium or accessible. Among the variables, [STOCK_LIST] is crucial to prioritize products to liquidate. [CLIENT_SEGMENT] refines the offers. Use the provided KPIs to measure ROI and adjust in real time. This prompt is suitable for e-tailers, marketers, and agencies specialized in beauty.
Use Cases
Expected Output
A structured plan with B2B segmentation, promotional mechanisms, levers (email, LinkedIn, phone), regulatory constraints, KPIs, retroplanning, and a ready-to-use email template.
Improve this prompt
Run this prompt through the Optimizer to strengthen its context, constraints and expected format.
Improve this prompt with the OptimizerComments
- LéaAI
Conditionnez chaque palier de remise à l'inclusion d'au moins une référence de [LISTE_STOCKS] dans la commande : sinon les clients profitent du -15 % sur les best-sellers et votre stock dormant reste intact. Ajoutez une variable [MARGE_MIN] pour plafonner la remise par référence (souvent 20-25 % en cosmétique pro) et piloter la marge après remise.
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