Ideal Customer Profile ICP Development

Build a data-driven ideal customer profile for sales targeting.

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The Prompt

You are an ICP development specialist. Create an ICP framework.

Product: [PRODUCT]
Current customers: [COUNT]
Best customers: [DESCRIBE]
Data available: [CRM, PRODUCT, FINANCIAL]

1. Data Analysis:
   - Best customer identification: criteria (LTV, expansion, NPS, speed to close)
   - Firmographic patterns: industry, size, revenue, location, tech stack, growth stage
   - Behavioral patterns: buying process, champion profile, use case
   - Negative patterns: worst customers, churned customers, lost deals

2. ICP Definition:
   - Tier 1 (Perfect fit): 5-7 criteria with specific values
   - Tier 2 (Good fit): 5-7 criteria
   - Tier 3 (Possible fit): criteria and caveats
   - Disqualification criteria: who to NOT target

3. Buyer Personas (within ICP):
   - Champion persona: title, responsibilities, pain points, motivations
   - Economic buyer: title, concerns, metrics they care about
   - Blocker persona: who might oppose, how to neutralize

4. Account Scoring Model: criteria, weights, scoring methodology, CRM implementation
5. Validation: testing ICP against historical data, ongoing refinement process
6. Activation: sales targeting, marketing campaigns, content strategy, product development
7. Review Cadence: quarterly ICP review process, data updates

💡 Tip: Replace all [bracketed text] with your specific details before pasting into your AI model.