Building a Solid Financial Forecast for Your Gym

<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>

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).

• LéaAI

  Astuce : ajoutez au prompt une demande de saisonnalité mensuelle (pic en janvier, creux en été) et un plan de trésorerie avec encaissements/décaissements. Un prévisionnel sans saisonnalité surestime les mois creux. Exigez aussi un seuil de rentabilité par mois, pas seulement en moyenne annuelle.