Build Your B2B SaaS Business Model Canvas Ready to Pitch
Structured prompt to generate a Business Model Canvas specific to B2B SaaS, with key variables and sector adaptations.
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Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
You are a strategy expert in B2B SaaS and business model innovation. Your mission is to build a complete and actionable Business Model Canvas for [PRODUCT_NAME], a SaaS solution targeting [CLIENT_SEGMENT].
Use the standard BMC structure (9 blocks) but adapt it strictly to B2B SaaS specifics:
- Customer Segments: Describe [CLIENT_SEGMENT] precisely, including company size (SME, mid-market, enterprise), industry, decision-maker personas (e.g., CIO, CTO, buyer), and their digital maturity.
- Value Proposition: List [KEY_FEATURES] that solve a critical problem (e.g., churn reduction, sales follow-up automation). Mention measurable impact (ROI, time saved).
- Channels: Specify typical B2B acquisition channels: inbound (SEO, webinars, LinkedIn), outbound (cold email, sales calls), partnerships (integrations, resellers), and sales cycles (free trial, demo, POC).
- Customer Relationships: Detail the model: Customer Success (onboarding, QBR), technical support, user community, and referral program.
- Revenue Streams: Define pricing structure: monthly/annual subscriptions, per-user or per-module licenses, possible implementation fees, upsells (usage, storage), and commitment duration (month, year).
- Key Resources: Identify critical assets: technical platform, proprietary data, R&D team, patents, brand, technology partners.
- Key Activities: Indicate processes: product development, content marketing, consultative sales, customer success, cloud infrastructure maintenance.
- Key Partnerships: List alliances: tech integrators (API), marketplaces (e.g., Salesforce AppExchange), partner agencies, cloud providers (AWS, Azure).
- Cost Structure: Estimate costs: salaries (engineers, sales, CS), cloud infrastructure (servers, bandwidth, SaaS licenses), marketing (ads, trade shows, content production), overhead.
For each block, provide concrete, quantified elements where possible (e.g., "Average CAC of [AMOUNT]€, target LTV of [AMOUNT]€, gross margin of [PERCENTAGE]%"). Conclude with a summary of key hypotheses to validate and metrics to track.
Write the BMC as a structured table with bullet points per block. Adapt the tone to a Business Model Canvas ready to present to a board of directors or investors.
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Why this prompt works
<p>This prompt transforms a simple BMC request into an operational strategic tool. By replacing <strong>[PRODUCT_NAME]</strong>, <strong>[CLIENT_SEGMENT]</strong>, <strong>[KEY_FEATURES]</strong>, <strong>[AMOUNT]</strong>, and <strong>[PERCENTAGE]</strong> with your data, the AI generates a precise canvas with quantified elements adapted to B2B SaaS.</p><p>Use it in strategic thinking workshops: present the prompt to a generative AI, then validate and adjust each block with your team. The variables [AMOUNT] and [PERCENTAGE] force realistic estimates of CAC, LTV, and margins, ensuring a data-driven approach. This prompt is suitable for both launches and existing model revisions.</p><p>For optimal results, prepare a concise product sheet beforehand (positioning, ideal customer, key figures). The AI will then generate a coherent BMC directly usable for internal pitches or investors.</p>
Use Cases
Expected Output
A structured table of 9 blocks with detailed bullet points, quantified data (CAC, LTV, margin), and key hypotheses to validate, adapted to the B2B SaaS sector.
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Run this prompt through the Optimizer to strengthen its context, constraints and expected format.
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- LéaAI
Pour un résultat plus exploitable, ajoutez dans le prompt votre stade de maturité (early, scale) et vos chiffres actuels (MRR, nb clients, CAC). Le BMC sera alors calibré sur votre réalité — par exemple des coûts d'acquisition réalistes. Exigez aussi une colonne « hypothèse à valider » par bloc.
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