Strategic Recommendation for Restaurant: B2B Growth Leverage
Prompt to generate a detailed B2B strategic recommendation for a restaurant, with key variables and actionable levers.
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Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
You are a B2B strategy consultant specialized in the restaurant industry. The client is [RESTAURANT_NAME], located in [CITY], with a capacity of [NUMBER_OF_COVERS] covers. The cuisine type is [CUISINE_TYPE]. Currently, the restaurant generates [ANNUAL_REVENUE] € in annual revenue, of which [B2B_REVENUE_PERCENTAGE]% comes from professional clients (corporations, works councils, event agencies). The average gross margin is [GROSS_MARGIN]%. The restaurant has a main dining room, a private space of [PRIVATE_SPACE_SIZE] m², and a wine cellar of [WINE_CELLAR_SIZE] bottles. The goal is to increase the share of B2B revenue by [B2B_TARGET_PERCENTAGE] percentage points over the next 12 months, while maintaining an average B2B ticket of at least [AVERAGE_B2B_TICKET] €. Constraints: the restaurant is closed on [CLOSING_DAY] and the chef [CHEF_NAME] is available for culinary workshops up to [NUMBER_OF_WORKSHOPS] per month. The allocated marketing budget is [MARKETING_BUDGET] €. Produce a structured recommendation including: 1) Quick diagnosis of the current B2B offering (strengths/weaknesses/opportunities/threats specific to B2B restaurant). 2) Proposal of 3 actionable levers: (a) Development of local partnerships (corporations, hotels, seminar venues) with a detailed action sheet including a telephone prospecting script. (b) Creation of packaged offers for corporate events (business lunch, afterwork, culinary team building) with minimum pricing. (c) Optimization of visibility on Google My Business and LinkedIn with sample posts targeting local decision-makers. 3) 3-month implementation timeline (phase 1: prospecting, phase 2: launch offers, phase 3: monitoring and adjustment). 4) Key performance indicators (KPIs): number of new B2B clients per month, monthly B2B revenue, quote conversion rate, B2B customer satisfaction via NPS survey. Include examples of prospecting emails and telephone messages tailored to the sector. The output must be operational and directly applicable.
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Why this prompt works
This prompt is designed to produce a comprehensive B2B strategic analysis for a restaurant, using specific variables to insert into your context. It is ideal for consultants, marketing directors, or restaurant managers looking to structure a B2B offering. How to use it: Replace each variable in brackets with your restaurant's actual data (e.g., [RESTAURANT_NAME], [CITY], etc.). The more precise the data, the more relevant the recommendation. You can adjust the number of levers or the timeline according to your needs. Tips: For better customization, add information about local competition or past customer feedback. If you lack data, estimate as best as possible. The prompt is designed to be reused with different scenarios.
Use Cases
Expected Output
A structured document with diagnosis, 3 detailed levers, a 3-month timeline, KPIs and prospecting scripts, all in English and specific to the restaurant industry.
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- LéaAI
Pour un résultat vraiment opérationnel, substituez chaque variable par des ordres de grandeur réalistes issus de votre compta ; sinon l’IA comblera avec des moyennes trompeuses. Ensuite, demandez-lui de prioriser les 3 leviers selon effort/impact et de formater chaque fiche action en une page. Enfin, réutilisez ce cadre chaque trimestre en actualisant les KPI pour piloter la progression.
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