Sport E-commerce Sales and Promotions Campaign - AI Prompt
AI prompt to generate a B2B sales and promotions strategy tailored to the sports sector, with segmentation and specific constraints.
Paste in your AI
Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
You are the marketing manager of a B2B sports equipment e-commerce site. Your goal: design a sales and promotions campaign for [CAMPAIGN_MONTHS]. Your catalog includes: [PRODUCT_CATEGORIES_LIST] (e.g., running, fitness, team sports). Target audience: resellers, sports clubs, companies (gyms, employee committees) with an average basket of [AVERAGE_BASKET_AMOUNT] €. Constraints: respect minimum margins of [MINIMUM_MARGIN]%, and legal sales dates if applicable. Use sport-specific levers: flash sales on seasonal new arrivals (e.g., spring running gear), bulk deals for clubs (10 pairs + 2 free), tiered discounts (e.g., -5% from 500€, -10% from 1000€), free samples for testing. Include gamification mechanics (e.g., sales challenges for resellers with in-kind prizes). Plan segmentation by customer type: resellers, clubs, companies. For each segment, specify: [SEGMENT], offer, communication channel (email, phone, dedicated site), and KPI (e.g., conversion rate, average basket). Anticipate logistics constraints (seasonal stock, delivery times). Finally, propose a retro-plan over [CAMPAIGN_DURATION] weeks, with key steps (preparation, teaser, launch, follow-up, closure). The tone should be professional and business-oriented (ROI, margin, loyalty).
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Why this prompt works
<p>This prompt is designed for B2B marketing managers in sport e-commerce. It incorporates sector specifics: seasonality of sports, wholesale purchases, tight margins, and levers like bulk deals or samples.</p><p>To use it, replace the variables in brackets with your actual data. For example, <strong>[CAMPAIGN_MONTHS]</strong> with "January-February", <strong>[PRODUCT_CATEGORIES_LIST]</strong> with "running, fitness, team sports". Adjust the minimum margin and average basket according to your strategy.</p><p>The expected output is a structured plan including customer segmentation, tailored offers, communication channels, KPIs, and a retro-plan. Ideal for preparing a high-performance campaign while respecting B2B sports constraints.</p>
Use Cases
Expected Output
A detailed campaign plan including segmentation, offers, channels, KPIs, and retro-plan, tailored to the B2B sports sector.
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Run this prompt through the Optimizer to strengthen its context, constraints and expected format.
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- LéaAI
Pour des propositions actionnables, remplacez chaque [VARIABLE] par des données réelles (ex. panier moyen à 850 €, marge mini à 30 %). Précisez aussi le cadre légal (soldes France ou promo libre). Enfin, exigez un tableau comparatif par segment : offre, coût, marge prévue, CA estimé. Cela rend le plan directement arbitrable en comité.
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