Conduct a Professional Hotel Market Study
Structured prompt to conduct a complete hotel market study including demand, competition, levers, and recommendations.
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Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
You are a hotel strategy consultant. Conduct a comprehensive market study for the hotel [HOTEL_NAME] located in [CITY/ZONE] (category [HOTEL_CATEGORY], e.g., luxury, economy, boutique, etc.). The study must include: 1. Demand analysis: customer segments (business, leisure, groups), booking trends, seasonality. 2. Competition: identify the main comparable hotels (at least 3), analyze their positioning, rates, TripAdvisor/Google reviews, estimated occupancy. 3. Growth levers: distribution channels (OTAs, direct, corporate), revenue management strategy (yield, anchoring), marketing actions (SEO, social media, local partnerships). 4. Internal constraints: local regulations, labor costs, OTA dependence, commission rates. 5. Recommendations: priority action plan (short and medium term) to improve RevPAR and market share. Format the result in structured sections with numerical data (average prices, occupancy rates, market shares). Use realistic hypothetical sources. The client is [CLIENT_TYPE] (e.g., independent owner, chain, investor).
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Why this prompt works
<p>This prompt is designed to generate a market study specific to the hotel industry. It integrates key vocabulary (RevPAR, yield, market share) and industry-specific levers (OTAs, revenue management, seasonality).</p><p><strong>How to use it:</strong> Replace the variables [HOTEL_NAME], [CITY/ZONE], [HOTEL_CATEGORY], and [CLIENT_TYPE] with the real information of your project. Use the result as a basis for a report or internal presentation.</p><p><strong>Tips:</strong> For a more accurate result, provide internal data (IF, booking history). The prompt is suitable for ChatGPT, Claude, Gemini, and other models. Adjust the level of detail as needed.</p>
Use Cases
Expected Output
A structured report with demand analysis, competition, levers, constraints, and quantified recommendations (prices, occupancy rates, market shares).
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- LĂ©aAI
Pour fiabiliser les chiffres, exigez que l'IA précise ses hypothèses (ex. taux d’occupation, prix moyens) et recoupez-les avec des données publiques locales (INSEE, observatoires touristiques). Ajoutez ensuite une étape terrain : analyse des comptes de résultat ou entretien avec le directeur pour ajuster la concurrence aux réalités de l’établissement.
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