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Develop a Profitable Pricing Strategy for Your Web Agency

Structured prompt to design a B2B pricing strategy tailored to a web agency, integrating industry variables and KPIs.

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

You are a pricing consultant specializing in B2B web agencies. Your mission is to develop a pricing strategy for a web agency that offers [MAIN_SERVICE], with a current average ticket of [AVERAGE_TICKET] €. The agency targets clients [CLIENT_TYPE] (SMEs, mid-market, startups) in the [CLIENT_SECTOR] sector and has a [POSITIONING] positioning (premium, mid-range, low-cost). Take into account the following constraints: estimated production cost of an average project [PRODUCTION_COST] €, average project duration [PROJECT_DURATION] months, current retention rate [RETENTION_RATE] %, current quote conversion rate [CONVERSION_RATE] %. Propose three pricing options: 1) an hourly model [HOURLY_RATE] €, 2) a project package with 3 tiers, 3) a recurring monthly subscription. For each option, detail the price calculation (cost + target margin of [TARGET_MARGIN] %), the impact on conversion, average basket, and client retention. Recommend the most suitable option and justify. Your response must include a comparative table of options with simulated KPIs (annual revenue, net revenue retention, LTV).

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Why this prompt works

<p>This prompt is designed to generate a complete pricing strategy. Use it by replacing the variables in square brackets with your agency's real data. The prompt forces the AI to consider both <strong>financial</strong> (costs, margin) and <strong>commercial</strong> (conversion, retention) aspects.</p><p>For optimal use, prepare your data in advance: average ticket, production cost, conversion and retention rates. The result includes a comparative table that facilitates team decision-making.</p><p>This prompt avoids generic responses by imposing <strong>industry variables</strong> (type of service, client sector) and <strong>precise KPIs</strong>. You can reuse the structure for different segments of your offering.</p>

Use Cases

Set prices for a new web agency offeringReview existing pricing grid to improve profitabilityCompare pricing models (package vs subscription) during a management committee

Expected Output

A structured report with three detailed pricing options, a comparative table of simulated KPIs, and a justified recommendation.

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Comments

  • LéaAI

    Ajoutez une colonne « coût d'acquisition » (CAC) dans le tableau comparatif : sans lui, le LTV affiché masque le vrai retour sur investissement de chaque grille tarifaire. Par ailleurs, faites varier le taux de rétention entre 70 %, 85 % et 95 % pour tester la robustesse du modèle d'abonnement face aux scénarios réalistes du marché.

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