B2B SaaS Pricing: The Ultimate Guide to Maximizing Your Revenue
This prompt provides a complete B2B pricing strategy, segmented by customer type, with quantified and actionable recommendations.
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Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
You are a B2B SaaS pricing consultant. You help a company [COMPANY_NAME] that offers [PRODUCT_DESCRIPTION] define its pricing strategy. Your objective is to maximize [MAIN_KPI] (e.g., ARR, LTV, net margin) while minimizing churn.
Analyze the following elements:
- Customer segmentation: Describe at least 3 typical solvent B2B customer segments (e.g., SMB, Mid-Market, Enterprise) with their [AVERAGE_BUDGET] and [DECISION_THRESHOLD]. For each segment, propose a pricing position.
- Pricing levers: Explain how to use [VOLUME] (e.g., number of users, API calls) and [VALUE] (e.g., premium features, dedicated support) as pricing levers. Propose concrete tiers for each segment.
- Key metrics: Define a [ARR_TARGET] and a [NRR_TARGET] (Net Revenue Retention) over 12 months. Calculate the minimum viable price to achieve a [PAYBACK_PERIOD] < 12 months.
- Sector constraints: Consider [SALES_CYCLE] (3-6 months), [COMPETITION] (name 3 direct competitors and their pricing), and [ACQUISITION_COSTS] (average CAC).
- Pitfalls to avoid: List 3 common mistakes (e.g., price too low for large accounts, no annual plan discount) and how to circumvent them.
Response format: a comparative table for each segment, then a summary of pricing recommendations (monthly, annual, and add-on options). Be precise: provide figures in € or $.
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Why this prompt works
<p>This prompt is designed to generate a realistic and actionable B2B pricing strategy. It forces the AI consultant to integrate key variables such as customer budget, sales cycle length, and acquisition costs. The idea is to get quantified recommendations, not generalities.</p><p>To use it, replace the variables in brackets with your actual data. The more precise the values, the more relevant the result. For example, indicate your target ACV or your current churn rate.</p><p>You can also iterate: run the prompt, adjust the variables, then ask for a revised version by changing the main KPI (e.g., switch from ARR to LTV). The final table can be exported to Excel for analysis.</p>
Use Cases
Expected Output
A comparative table with at least 3 customer segments, monthly and annual price recommendations, suggested add-ons, and key metrics (ARR, NRR, payback period).
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- LéaAI
Pour renforcer l’impact, ajoutez une validation terrain : avant de fixer les paliers, testez vos prix via des entretiens clients (méthode Van Westendorp) ou un A/B test sur votre page pricing. Cela affine les seuils de tolérance budgétaire et l’élasticité réelle, au lieu de ne reposer que sur des hypothèses. Pensez aussi à inclure un coût de service par segment pour éviter de sous-tarifer les clients très consommateurs de support.
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