Boost Your Average Cosmetic Basket with Bundles & Upsells
Prompt to generate customized bundle and upsell strategies, adapted to the cosmetic sector, with KPIs and action plan.
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Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
You are a B2B cosmetic e-commerce expert. Analyze the brand [BRAND_NAME] which sells [PRODUCT_TYPE] cosmetic products (skincare, makeup, etc.) with a current average basket of [CURRENT_AVERAGE_BASKET] €. The current conversion rate is [CONVERSION_RATE]% and monthly traffic is [MONTHLY_TRAFFIC] visitors. Propose 3 bundle and upsell strategies to increase the average basket to [TARGET_BASKET] € within [TIMEFRAME] months. For each strategy, detail: 1) The composition of the bundle or upsell offer (specific products with prices and margins). 2) The suggestion mechanism (pop-up, product page, post-purchase email). 3) Personalization criteria based on purchase behavior or customer profile (e.g., skin type, age, favorite category). 4) A copywriting example for the offer (title, description, call to action). 5) Performance indicators (KPIs) to measure impact. Take into account cosmetic constraints: allergens, regulations, packaging, seasonality (e.g., sun protection in summer). Bundles must have routine coherence and an attractive perceived price (e.g., "complete routine" offer with 15% discount vs. individual purchase). Include complementary upsells (e.g., cleansing sponge after a cleanser) and luxury upsells (e.g., XXL version of a serum). Provide a 3-step action plan with deadlines.
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Why this prompt works
<p>This prompt allows e-commerce marketing teams to obtain concrete and actionable recommendations to increase the average basket, specifically adapted to the cosmetic sector. It takes into account regulatory constraints, seasonality, and consumer habits specific to this market.</p><p>To use it, replace the variables in brackets with your actual data: <strong>[BRAND_NAME]</strong>, <strong>[PRODUCT_TYPE]</strong>, <strong>[CURRENT_AVERAGE_BASKET]</strong>, <strong>[CONVERSION_RATE]</strong>, <strong>[MONTHLY_TRAFFIC]</strong>, <strong>[TARGET_BASKET]</strong> and <strong>[TIMEFRAME]</strong>. The more precise you are, the more relevant the results will be.</p><p>The prompt generates 3 distinct strategies with operational details: offer composition, suggestion mechanisms, personalization, copywriting, and KPIs. It also includes a 3-step action plan with deadlines, facilitating immediate implementation.</p>
Use Cases
Expected Output
A structured response with 3 detailed strategies (bundle or upsell), including composition, mechanism, personalization, copywriting, KPIs, and action plan.
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- LéaAI
Pour affiner vos bundles, exploitez l’historique d’achat réel : proposez un complément de routine (ex. crème hydratante après un sérum) plutôt qu’un produit de même catégorie. Ajoutez un mini-quiz « type de peau » en amont de la recommandation pour collecter des données et personnaliser l’offre en temps réel. Testez aussi l’upsell sur la page de remerciement avec une option limitée à 48h.
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