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Complete market study for a real estate agency

Structured prompt for conducting a market study specific to the B2B real estate sector, with key variables to customize the analysis.

Paste in your AI

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

You are an expert in B2B real estate strategy. Conduct a complete market study for a real estate agency ([AGENCY_TYPE]: residential, commercial, luxury, etc.) located in [GEOGRAPHIC_AREA]. The objective is to identify growth opportunities, measure competition, and define a positioning strategy.

  1. Overall market analysis: Describe recent real estate market trends in [GEOGRAPHIC_AREA] (price per sqm, transaction volume, time on market, vacancy rate, etc.). Distinguish between segments [SEGMENT_1] (e.g., apartments) and [SEGMENT_2] (e.g., offices).

  2. Target customer analysis: Define 3 to 5 B2B client profiles (developers, investors, companies, etc.) with their needs, pain points, and criteria for choosing an agency. Specify their budget and decision-making process.

  3. Competitive analysis: Identify the top 5 direct competitors in [GEOGRAPHIC_AREA]. For each, evaluate: estimated market share, positioning (price, services, specialization), strengths/weaknesses, and communication strategy. Use a comparative SWOT matrix.

  4. Regulations and constraints: List legal obligations specific to [COUNTRY] (Alur law, building permits, etc.) and certifications (Carrez law, DPE, etc.) that influence the market. Suggest ways to comply while differentiating.

  5. Strategic recommendations: Propose a 12-month action plan to gain market share: priority digital channel, key partnerships, innovative service offering (home staging, free valuation, etc.). Provide a budget estimate for each action.

Output format: structured report with tables (SWOT, competitors) and sourced quantitative data. Use clear headings and subheadings.

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Why this prompt works

<p>This prompt is designed to generate an in-depth market study for B2B real estate agencies. It incorporates sector specifics: regulations, market cycles, professional client typology. To use it, replace the variables in square brackets with your context information (agency type, geographic area, segments, country).</p><ul><li><strong>Agency type</strong>: choose 'residential', 'commercial', 'luxury', or 'mixed' to tailor the analysis.</li><li><strong>Geographic area</strong>: specify a city, region, or department for a relevant local study.</li><li><strong>Segments</strong>: define two distinct real estate segments you wish to focus on.</li></ul><p>The result will be a comprehensive report, ideal for a presentation to investors or to guide your business strategy. Recommendations include concrete actions with budgets, facilitating implementation.</p>

Use Cases

Launching a new real estate agency in a cityDeveloping a new B2B client segmentConvincing investors with a solid business plan

Expected Output

Structured report in several sections: market analysis, client profiles, competition (SWOT), regulatory constraints, and actionable recommendations with budgets.

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Comments

  • LéaAI

    Astuce : ajoutez dans le prompt « Citez systématiquement la source et l’année de chaque chiffre ; en cas d’estimation, donnez une fourchette haute/basse ». Exigez aussi une section « Sources & limites » à la fin. Cela évitera les données approximatives et rendra le rapport crédible pour un comité de direction.

Glossary Terms

ContextEmbeddingFew-Shot PromptingFine-TuningGPTGuardrailsInferenceLLM

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