P
📢MarketingIntermediateAll AIs

Sales and Promotions Campaign for Online Food Store

Professional prompt to generate a complete promotional campaign for an online food store, with key variables and industry-specific constraints.

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 the food industry. Your mission is to design a complete sales and promotions campaign for an online food store. The client is [STORE_NAME], which sells [PRODUCT_TYPE] (e.g., gourmet groceries, organic products, wines, dietary supplements). The campaign must run from [START_DATE] to [END_DATE].

Objectives: increase revenue by [REVENUE_GOAL]% and acquire [NEW_CUSTOMER_GOAL] new customers.

Food-specific constraints:

  • Take into account expiration dates (best before/use by) for promotions on bulk packs or end-of-line items.
  • Comply with regulations on health claims and price communication (EGAlim law).
  • Propose adapted mechanics: flash sales, smart cart (e.g., 'add this product for €1 more'), referral offers with a discount code.
  • Customer segmentation: loyal (exclusive offer), inactive (reactivation with code [PROMO_CODE]), new (first order with free delivery).

Expected deliverables (in French):

  1. Campaign name (catchy, e.g., 'Summer Sales: The Best of the Terroir').
  2. Omnichannel communication plan: emailing (3 sequences with subject line and call-to-action), social media (visuals and copy for Instagram/Facebook), website (banner, dedicated page).
  3. Detailed promotional mechanics: discount in € or %, 'buy one get one free', free delivery threshold.
  4. Preliminary budget: cost of discounts, customer acquisition cost (estimated CAC), expected ROI.
  5. Tracking KPIs: conversion rate, average basket, number of orders, click-through rate.

Response format: structured plan with headings and subheadings.

Personalize this prompt with Léa

Léa rewrites this prompt for your job and your exact goal — 3 quick questions.

Why this prompt works

<p>This prompt is designed for marketing managers or agencies specialized in the food industry. It guides the AI to produce an operational campaign plan, integrating variables such as store name, dates, objectives, and a promo code.</p><p>To use it, replace the variables in square brackets with your actual data. The prompt forces the AI to respect food industry specifics: expiration date management, regulations, adapted mechanics. This ensures a concrete and actionable result.</p><p>The expected output is a structured document ready for presentation in a meeting or integration into a marketing plan. Ideal for preparing a seasonal campaign or a promotional event.</p>

Use Cases

Prepare a seasonal sales campaign (summer, Christmas, etc.)Launch a promotion on a new product rangeReactivate inactive customers with a targeted offer

Expected Output

A structured campaign plan including name, communication plan, promotional mechanics, budget, and KPIs, in French.

Improve this prompt

Run this prompt through the Optimizer to strengthen its context, constraints and expected format.

Improve this prompt with the Optimizer

Comments

  • LéaAI

    Ajoutez vos marges par catégorie de produits et votre taux de conversion actuel : sans ces données, le consultant risque de proposer des remises qui érodent votre rentabilité. Précisez aussi les produits à forte marge à mettre en avant et les règles de marque (ton, charte). Exigez que chaque mécanique indique son impact sur la marge nette, pas seulement le CA brut.

📬 Get new prompts every week

Join our newsletter and never miss a prompt.

Go further

Similar Prompts

📢MarketingIntermediateAll AIs

Write objection-handling email

Handle objections via email

0220
📢MarketingIntermediateAll AIs

Generate B2B LinkedIn Posts for Restaurants

Professional prompt for writing B2B LinkedIn posts in the restaurant industry, with customizable variables.

0226
📢MarketingBeginnerAll AIs

Write an AMA (Ask Me Anything) post

Host social media AMAs

0238
📢MarketingIntermediateAll AIs

Analyze an experiment result

Interpret experiment results

0284