Conduct a Market Study for a Gym
Structured prompt to analyze the fitness market, identify promising segments and key competitors of a gym.
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Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
You are a fitness strategy consultant. Conduct a market study for a gym located in [CITY] with an area of [AREA] m². The targeted positioning is [POSITIONING] (e.g., premium, low-cost, crossfit, wellness).
Analyze the following elements:
- Macro-environment: fitness trends (e.g., micro-studios, connected fitness, online coaching), impact of teleworking on attendance, local regulations (ERP standards, health obligations).
- Local market: density of gyms within a [RADIUS_KM] km radius, fitness penetration rate in the population (estimate based on France Active regional figures), average subscription prices (monthly, annual, per session) and types of contracts offered (no commitment, with initiation fees, etc.).
- Customer segments: dominant profiles (young professionals, students, seniors, companies for B2B corporate wellness), specific needs (flexible hours, personal coaching, group classes, quiet areas).
- Competitive analysis: list of the 3 main direct competitors in [CITY] with their positioning, strengths/weaknesses, and pricing strategy. Include barriers to entry (equipment cost, commercial lease, qualified staff).
- Opportunities: under-exploited niches (e.g., fitness for seniors, re-athletization, outdoor classes), possible partnerships (insurance companies, local businesses, physiotherapists).
- Recommendations: priority action plan (product mix, pricing, acquisition) for a 12-month return on investment.
Format the response in clear sections with probable numerical data and presumed sources (e.g., INSEE, Sports Observatory).
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Why this prompt works
<p>This prompt is designed to generate a comprehensive market study specific to the gym sector. It includes key variables such as <strong>city</strong>, <strong>area</strong>, <strong>positioning</strong>, and <strong>analysis radius</strong> to personalize results. It forces the AI to adopt sector-specific vocabulary (micro-studios, connected fitness, corporate wellness) and consider regulatory and economic constraints specific to this business.</p><p>To use it, replace the variables in brackets with real data. For example: [CITY] = "Lyon 6", [AREA] = "500", [POSITIONING] = "premium wellness with spa", [RADIUS_KM] = "5". The prompt is long enough to ensure a detailed response but sufficiently structured to avoid generic content.</p><p>The expected result is a structured report with probable numerical data (e.g., average prices, penetration rates) and actionable recommendations. This prompt is suitable for gym owners, fitness marketers, and specialized agencies.</p>
Use Cases
Expected Output
A structured report in 6 sections: macro-environment, local market, customer segments, competitive analysis, opportunities, recommendations. Each section contains plausible numerical data and actionable advice.
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