Building a Solid Financial Forecast for Your Gym
A structured guide to building a complete financial forecast for a gym, with industry assumptions and key indicators.
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Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
You are a finance and strategy expert for the fitness industry. Write a comprehensive and actionable guide to building a 3-year financial forecast for a gym. Cover the following points using realistic data for a [FACILITY_TYPE] (e.g., crossfit, yoga, weightlifting, boutique) located in [CITY].
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Monthly revenue assumptions: detail the number of members by category (unlimited, off-peak, student), average price per membership [AVERAGE_MEMBERSHIP_PRICE], and monthly retention rates (average churn 3-5% per month). Also include additional revenue (private coaching, merchandise, drink sales) with an estimated average basket of [AVERAGE_ADDITIONAL_BASKET].
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Variable and fixed costs: rent (€/m² according to [CITY]), utilities (electricity, water, insurance), payroll (manager, coaches, front desk) with number of FTEs [NUMBER_OF_FTEs], equipment costs amortized over 5 years, maintenance costs, and marketing budget (customer acquisition, retention). Specify the customer acquisition cost (CAC) of [CAC] and a visitor-to-member conversion rate of [CONVERSION_RATE].
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Break-even calculation: number of members needed to cover monthly fixed costs, expressed in member equivalents and revenue.
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Scenarios: propose a conservative scenario (churn 6%, low retention), realistic (churn 4%), and optimistic (churn 2% + increase in additional sales).
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Key indicators: EBITDA, net margin, free cash flow, return on investment (ROI) at 3 years.
Format: a 3-year table with months 1-12, 13-24, 25-36. Justify each assumption with industry benchmarks. Be precise, data-driven, and actionable.
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Why this prompt works
<p>This prompt is designed to generate a highly detailed financial forecast tailored to the specifics of gyms (memberships, retention, seasonality). To use it, replace the variables in brackets with your actual data or estimates: <strong>[FACILITY_TYPE]</strong> (e.g., crossfit box, yoga studio, weightlifting gym), <strong>[CITY]</strong> (for real estate costs), <strong>[AVERAGE_MEMBERSHIP_PRICE]</strong>, <strong>[AVERAGE_ADDITIONAL_BASKET]</strong>, <strong>[NUMBER_OF_FTEs]</strong> (number of employees), <strong>[CAC]</strong> (customer acquisition cost), <strong>[CONVERSION_RATE]</strong>.</p><p>The prompt requests a table output over 3 years, with three scenarios. Ideal for a feasibility study, fundraising, or business plan. It can be used by a gym owner, marketer, or fitness consulting agency.</p><p>For optimal results, provide realistic data from benchmarks or your experience. If you don't know a variable, use industry averages (e.g., average membership price ~€50, CAC ~€100, churn ~4%). This prompt works with all AI models capable of generating tables.</p>
Use Cases
Expected Output
A structured guide with detailed tables presenting a 3-year financial forecast, including assumptions, three scenarios (conservative, realistic, optimistic), break-even point, and key indicators (EBITDA, net margin, free cash flow, ROI).
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