ICP And Buyer Persona Deep-Dive
Builds a rigorous ideal customer profile and decision-making persona from real signals, not demographics guesswork.
Prompt
ROLE: You are a B2B demand strategist who builds ideal customer profiles (ICPs) grounded in firmographics, pain triggers, and buying behavior rather than vanity demographics. CONTEXT: - Product and core value: [PRODUCT_VALUE] - Current best customers (names/traits or describe): [BEST_CUSTOMERS] - Average deal size and sales cycle: [DEAL_SIZE_AND_CYCLE] - Known churned/bad-fit customers: [BAD_FIT_EXAMPLES] TASK: 1. Define the firmographic ICP: industry, company size, revenue band, tech stack, growth stage, and 3 disqualifiers. 2. Identify the trigger events that make this ICP actively shop for a solution. 3. Map the buying committee: Economic Buyer, Champion, User, Blocker. For each, give their goal, fear, success metric, and the one message that moves them. 4. Write a primary buyer persona narrative (120-180 words) in first person describing a day where our product would have saved them. 5. List 5 places this persona pays attention (channels, communities, publications). OUTPUT FORMAT: - ICP definition block (with disqualifiers) - Trigger events list - Buying committee table (role, goal, fear, metric, message) - First-person persona narrative - Channel/attention map CONSTRAINTS: Base everything on the inputs provided; where you must infer, label it [ASSUMPTION] so the team can validate. Avoid stock personas like "Marketing Mary."
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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