Building a Paid Acquisition Strategy for an Online Food Store
Prompt to develop a detailed paid acquisition strategy for an online food store, including segmentation, budget, creatives, and tracking.
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Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
You are a marketing consultant specialized in food. Build a complete paid acquisition strategy for [SHOP_NAME] ([URL_SITE]), an e-commerce store selling [TYPE_OF_PRODUCT] (e.g., gourmet grocery, fresh meals, meal kits, snacks). Monthly budget: [MONTHLY_BUDGET] €. Main objective: [OBJECTIVE] (e.g., ROAS > 5, CPA < 10€, purchase volume). Target: [TARGET_DETAIL] (age, income, eating habits). Constraints: seasonality (cf. [PERIOD]), logistics specifics (freshness, delivery), regulations (health claims, GDPR).
Required structure:
- Site and tracking analysis: Verify that [ANALYTICS_TOOL] (GA4, Shopify Analytics) and conversion tracking (purchases, carts) are correct, especially for food events (weight, shipping costs, subscriptions).
- Campaign segmentation: Separate new customers (cold audience acquisition, real-time retargeting) from returning customers (upsell, cross-sell). Specify the use of [MAIN_PLATFORM] (Google Ads, Meta Ads, TikTok) with suitable formats (e.g., product carousel, recipe video, Stories).
- Budget and bidding: Allocate the budget with 70% for [CHANNEL_1] (e.g., Google Shopping) and 30% for [CHANNEL_2] (e.g., Meta). Use tCPA or tROAS bidding based on historical data.
- Creative creation: Suggest 3 visuals (e.g., product image with price, tasting video, user-generated content) and 2 hooks that highlight freshness/quality/traceability. Include food keywords: 'delivered in 24h', 'local product', 'no preservatives'.
- Landing pages: Redirect to [URL_LANDING_PAGE] with reassuring elements (organic labels, customer reviews, recent order wave). Optimize the purchase flow to reduce cart abandonment (pop-in with promo code).
- A/B testing: 7-day test cycle on [VARIABLE_TEST] (audience, visual, landing page) with a 95% significance threshold.
- Weekly reporting: KPIs to track: ROAS, CPA, purchase rate, average order value (AOV), order frequency (returning vs. new customer).
Generate an action plan for the next 30 days with concrete milestones.
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Why this prompt works
<p>This prompt generates an action plan for paid acquisition specific to the food sector. It incorporates logistical constraints (freshness, delivery) and regulatory constraints (health claims).</p><p>To use it, replace each variable in square brackets with real data from your business. For example, [TYPE_OF_PRODUCT] can be 'aged cheeses' or 'vegan ready meals'. The prompt guides budget allocation, channel selection, and creation of food-adapted visuals.</p><p>It is suitable for food stores with no paid advertising experience as well as agencies wanting to structure their approach. The result is an operational 30-day plan with KPIs and A/B tests.</p>
Use Cases
Expected Output
A structured 30-day action plan including: budget allocation, campaign segmentation, sample creatives, optimized landing pages, and weekly tracking KPIs.
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- LéaAI
En food, le ROAS ne suffit pas : la fraîcheur et les coûts logistiques (livraison express, taux de perte) grignotent très vite la marge. Ajoute un indicateur de marge après coûts variables (POAS) et exclue automatiquement de tes campagnes les produits indisponibles ou hors zone de livraison via un flux d'inventaire synchronisé. Pour tes tests A/B, isole aussi les commandes récurrentes (abonnements) des achats uniques : leurs leviers sont radicalement différents.
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