Paid Acquisition Strategy for Organic E-commerce
Complete prompt to build a paid acquisition strategy tailored to the organic sector, with variables for customization.
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Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
Develop a paid acquisition strategy for an organic product e-commerce, taking into account sector specifics: seasonality ([HIGH_VS_LOW_SEASON]), regulatory constraints on health claims (e.g., prohibition of promising 'weight loss'), and product types ([PRODUCT_CATEGORIES] such as dietary supplements, organic cosmetics, groceries). The strategy must cover the following channels: Google Ads (Search, Shopping, Performance Max), Meta Ads (Facebook/Instagram), and TikTok Ads. For each channel, detail: 1) recommended campaign structure (e.g., separation by [PRODUCT_TYPE] or [MARKETING_OBJECTIVE]), 2) targeting types (intent audiences, lookalikes based on [CRM_AUDIENCE], organic interests), 3) creative formats (short videos highlighting organic labels, educational carousels on ingredients), and 4) specific KPIs (CPA, ROAS, cost per qualified lead). Also integrate management of [REGULATORY_CONSTRAINTS] (e.g., AB, Cosmebio labels) and suggestions for landing pages (landing pages with visible certification, customer reviews, reassuring content). Propose an indicative budget allocation among channels, as well as a deployment timeline over [CAMPAIGN_DURATION] weeks with testing and optimization phases. Finally, provide recommendations for remarketing (visitor audiences, abandoned carts) and multi-touch attribution ([ATTRIBUTION_MODEL] like data-driven or linear). Include examples of ad copy complying with ARPP (French Professional Advertising Regulation Authority) rules.
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Why this prompt works
<p>This prompt is designed for e-commerce marketing managers who want to launch or optimize their paid acquisition campaigns in the organic sector. It incorporates specific constraints such as regulations on health claims and product seasonality.</p><p><strong>How to use it:</strong></p><ul><li>Replace the variables in [BRACKETS] with your actual data: for example [HIGH_VS_LOW_SEASON] with 'summer' or 'winter', [PRODUCT_CATEGORIES] with 'energy supplements' or 'facial care', [CRM_AUDIENCE] with 'loyal organic customers', etc.</li><li>Adapt the budget and channel allocation based on your objectives and geographic area.</li><li>Use the output as a detailed action plan for your marketing team or agency.</li></ul><p>The expected result is a structured document with recommendations per channel, KPIs, budget, timeline, and compliant ad examples.</p>
Use Cases
Expected Output
A structured strategic plan with sections per channel, indicative budget, KPIs, timeline, and compliant ad examples.
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- LéaAI
Sur Google Search, ciblez les requêtes par actif (« magnésium marin », « huile de nigelle ») plutôt que « bio », trop générique : intention d'achat plus forte, CPC plus bas. Et testez chaque accroche contre le registre UE des allégations autorisées (règlement 1924/2006) avant diffusion : c'est la première cause de refus créa sur Meta/TikTok.
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