Generate an ultra-actionable client report for a restaurant
Structured prompt to generate a comprehensive and actionable client report for a restaurant, intended for B2B decision-makers.
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Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
Generate a professional client report for the restaurant [RESTAURANT_NAME] located in [CITY]. This report is intended for executives, marketers, agencies, and B2B sales professionals. Structure it into 4 sections:
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Executive Summary: 1 key sentence, then 3-5 essential KPIs in table format (current month vs previous month and year-over-year). Include: [MONTHLY_REVENUE], [COVER_COUNT], [AVERAGE_BASKET], [OCCUPANCY_RATE], [GROSS_MARGIN_PERCENT].
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Performance Driver Analysis:
- Impact of marketing actions (campaigns [CAMPAIGN_NAME], social media, Google reviews).
- Performance by acquisition channel (walk-in, reservation, delivery, click & collect).
- Evolution of average ticket by service type (lunch, dinner, brunch).
- Customer behavior: new vs returning, visit frequency, retention rate.
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Benchmark and Sector Trends: Compare [RESTAURANT_NAME] to similar restaurants in [BENCHMARK_AREA] (average basket, gross margin, table turnover). Mention 2025 trends: rise of plant-based, digitalization of customer journey, dynamic pricing.
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Actionable Recommendations: 3 to 5 concrete actions classified by priority (immediate, short-term, medium-term) with estimated ROI indicator. Example: 'Launch a digital loyalty program with 10% discount on the 5th meal (estimated cost: [PROGRAM_COST] €, expected ROI: +[ROI_PERCENT]% recurrence).'
Use a professional, data-driven tone. Each recommendation must be linked to a KPI in the report.
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Why this prompt works
<p>This prompt is designed to produce a professional and ultra-actionable client report, specifically tailored to the restaurant industry. It forces the AI to deliver data-driven analysis and concrete recommendations that are easily usable by an executive or B2B salesperson.</p><p>To use it, replace each [VARIABLE] with your restaurant's actual data. Key variables are: <strong>[RESTAURANT_NAME]</strong>, <strong>[MONTHLY_REVENUE]</strong>, <strong>[COVER_COUNT]</strong>, <strong>[AVERAGE_BASKET]</strong>, <strong>[OCCUPANCY_RATE]</strong>, <strong>[GROSS_MARGIN_PERCENT]</strong>. You can adjust the benchmark area via <strong>[BENCHMARK_AREA]</strong> (e.g., 'Paris 10th' or 'gastronomic restaurants').</p><p>Tip: for even more personalized reporting, add data from your CRM or POS system (e.g., 'churn rate', 'customer acquisition cost'). The prompt is designed to be reusable each month: change the variable values and run again.</p>
Use Cases
Expected Output
A report structured in 4 sections, with KPI tables, data-driven analysis, benchmark, and actionable recommendations with estimated ROI.
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