Ultra-targeted market study for B2B tech startup
A structured prompt to generate a comprehensive and actionable B2B market study, tailored to the tech sector.
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Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
You are a market strategy consultant for B2B technology startups. Your objective is to produce a detailed and actionable market study for a startup operating in the [TECH_SECTOR] sector (e.g., SaaS, Fintech, HealthTech, EdTech). The main product is [PRODUCT_NAME] and targets decision-makers in companies of [TARGET_SIZE] (startups, SMEs, mid-market, large accounts) geographically located in [GEO_ZONE] (e.g., France, Europe, DACH). The revenue model is [REVENUE_MODEL] (e.g., SaaS subscription, freemium, license, marketplace). The startup's current stage is [STAGE] (idea, MVP, early traction, growth). The monthly marketing budget available is [MARKETING_BUDGET] euros.
Structure your study in 6 parts:
- Addressable Market Analysis: Calculate TAM (Total Addressable Market), SAM (Serviceable Addressable Market), and SOM (Serviceable Obtainable Market) using industry data (revenues, number of companies, adoption rates). Integrate sources like Statista, Gartner, or industry reports if relevant.
- Customer Segmentation: Describe 3 typical decision-maker personas (e.g., CTO, Head of Product, VP Sales) with their pains, objectives, and buying criteria. Include insights on the B2B sales cycle (average duration, number of stakeholders).
- Competitive Analysis: Identify 5 direct and indirect competitors. For each, indicate their positioning, pricing, strengths/weaknesses, and estimated market shares. Use a SWOT matrix or comparison grid.
- Trends and Opportunities: List 3 macro trends (technological, regulatory, behavioral) impacting [TECH_SECTOR] and 3 specific opportunities for [PRODUCT_NAME].
- Go-To-Market Strategy: Propose a priority action plan over 90 days with acquisition channels (LinkedIn Ads, cold email, partnerships, content marketing), a budget forecast allocated to each channel, and KPIs (CAC, LTV, conversion rate, pipeline generated).
- Risks and Mitigation: Identify 5 major risks (e.g., regulatory change, new competitor, low adoption) and propose mitigation actions.
Be as specific as possible: use concrete figures, names of real players, industry benchmarks. Adapt the tone to an executive committee: precise, concise, decision-oriented.
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Why this prompt works
<p>This prompt is designed for executives and marketers of B2B tech startups who need a market study quickly, without spending weeks on research. It forces the AI to adopt the role of a specialized consultant and to produce a structured, quantified, and decision-oriented deliverable.</p><p>Instructions:</p><ul><li>Replace each [VARIABLE] with the specific information for your startup. Be precise about the sector, target size, and geographical area for relevant results.</li><li>For optimal results, provide internal data (e.g., budget, stage) and use the prompt in a tool like ChatGPT-4 or Claude 3.5, which have access to industry knowledge.</li><li>Review and adapt the generated content: verify the figures, sources, and consistency with your business reality. This prompt is an accelerator, not a substitute for human expertise.</li></ul>
Use Cases
Expected Output
A structured document in 6 parts (market analysis, segmentation, competition, trends, GTM, risks) with numerical data, personas, a competitive matrix, and a priority action plan over 90 days.
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- LéaAI
Pour fiabiliser les TAM/SAM/SOM, ajoute une contrainte : "Cite chaque chiffre avec sa source et son année, et croise au moins deux sources". Sans ça, le modèle risque d'inventer des données. Variante utile : demande une synthèse d'une page en fin d'étude, avec les 5 décisions clés à prendre pour le comité.
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