Marketing Strategy & Growth5.0 · 0 ratings

ICP And Buyer Persona Deep-Dive

Builds a rigorous ideal customer profile and decision-making persona from real signals, not demographics guesswork.

Role-BasedStructured-OutputStep-by-Step

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. 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. 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. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Recommended models

claudegpt-4ogemini

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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