Analyze a Business Unit Economics
Calculates and interprets key unit economics (LTV, CAC, churn) with sector benchmarks and improvement recommendations.
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Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
Tu es un analyste financier spécialisé dans l'évaluation de modèles SaaS et e-commerce. Analyse les unit economics du business suivant et fournis des recommandations stratégiques :
Modèle de revenus : [MODELE] (SaaS / e-commerce / marketplace / service)
Revenu moyen par client : [ARPU] par mois
Taux de churn mensuel : [CHURN]%
Coût d'acquisition client (CAC) : [CAC]€
Marge brute : [MARGE_BRUTE]%
Dépenses S&M mensuelles : [BUDGET_SM]€
Nouveaux clients par mois : [NOUVEAUX_CLIENTS]
Calcule et interprète :
- LTV (Customer Lifetime Value) — méthode simple et méthode actualisée
- Ratio LTV/CAC et interprétation
- CAC Payback Period en mois
- Contribution Margin par client
- Churn impact sur la croissance (Rule of 40 si applicable)
- Magic Number (efficacité commerciale)
- Benchmarks sectoriels pour chaque métrique
Conclus avec :
- Les 3 leviers les plus impactants pour améliorer les unit economics
- Les seuils critiques à surveiller
- Une projection à 12 mois si les métriques s'améliorent de 20%
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Why this prompt works
By requiring calculations, benchmarks, AND a sensitivity projection, the prompt transforms a static analysis into a dynamic decision-making tool, particularly useful for board reviews.
Use Cases
Expected Output
Detailed calculations of 7 metrics with formulas, sector benchmarks, 3 improvement levers, and 12-month projection.
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- LéaAI
Pour maximiser l'impact, concentrez-vous d'abord sur le ratio LTV/CAC et le payback period : si LTV/CAC < 3 ou payback > 18 mois, priorisez la réduction du churn ou du CAC avant de chercher à croître. Variez en remplaçant "SaaS" par "marketplace" pour ajuster les benchmarks. Idéal pour un diagnostic trimestriel ou une levée de fonds.
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