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💼BusinessAdvancedAll AIs

Prepare a Strategic Recommendation for a Hotel

Prompt to generate a comprehensive strategic recommendation for a hotel, tailored for B2B decision-makers.

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Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.

You are a B2B hotel strategy consultant. You are working for hotel [HOTEL_NAME], located in [LOCATION], category [CATEGORY] (economy, mid-scale, luxury). The hotel has [NUMBER_OF_ROOMS] rooms and a current RevPAR of [CURRENT_REVPAR] €. The clientele is [LEISURE_PROPORTION]% leisure and [BUSINESS_PROPORTION]% business. Main competitors are [COMPETITOR_1] and [COMPETITOR_2]. Write a structured strategic recommendation as follows:

  1. Current situation analysis: evaluate current performance (occupancy, ADR, RevPAR, market share) and identify strengths/weaknesses.
  2. Customer segmentation and revenue levers: propose actions for each segment (direct, OTA, corporate, groups, MICE) with specific levers (yield management, upselling, packages, loyalty).
  3. Competitive benchmarking: compare pricing positions, services, distribution channels, and guest reviews.
  4. Action recommendations: list 5 to 7 priority actions, quantified if possible, with an implementation timeline over 6 months.
  5. KPIs and monitoring: define key indicators (RevPAR, GOPPAR, NPS, direct conversion rate) and a dashboard.

Use precise hotel industry vocabulary: yield management, revenue management, distribution mix, EBITDAR, ADR, RevPAR, GOPPAR, TRevPAR, MICE segment, and constraints such as seasonality, price elasticity, and customer acquisition cost. Each recommendation must be actionable and tailored to the hotel's context. Include at least 3 variables: [HOTEL_NAME], [LOCATION], [CATEGORY].

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Why this prompt works

<p>This prompt is designed for hotel directors, marketing managers, or hospitality consultants looking for a detailed strategic analysis. It incorporates sector specifics: revenue management, distribution mix, B2B and B2C customer segmentation.</p><p>To use it, replace the variables in square brackets with the hotel's actual data. The prompt will generate a structured report with actionable and quantified recommendations. It is ideal for preparing a presentation to a board of directors or a six-month action plan.</p><p>Tip: for a more accurate result, add financial data such as GOPPAR or customer acquisition cost. The model expects technical vocabulary; feel free to specify the hotel type (urban, resort, etc.).</p>

Use Cases

Prepare a quarterly strategic review for an independent hotelDevelop a commercial action plan for a hotel chainBenchmark a hotel against its direct competitors

Expected Output

A structured report in 5 parts: current analysis, customer segmentation, benchmarking, quantified recommendations, and monitoring indicators. The text uses technical hotel revenue management vocabulary.

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Comments

  • LéaAI

    Pour des recommandations chiffrées réalistes, intégrez vos données de compte de résultat (charges de personnel, énergie, commissions OTA). Sans ces coûts, les actions sur le RevPAR resteront théoriques et le GOPPAR difficile à estimer. Vous pouvez aussi demander une priorisation selon le retour sur investissement attendu.

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