Ideal Customer Profiles (ICPs)
Complete guide to creating and implementing ICPs.
ICPs define the types of companies most likely to buy from you. While personas target individuals, ICPs target organizations.
Why ICPs Matter in RevvedUp
AI Matching: Every company is automatically scored against your ICPs
Lead Prioritization: Focus on companies with highest fit scores
Campaign Targeting: Build lists based on ICP criteria
CRM Sync: ICP match, fit score and reasonsing sync to your CRM
Performance Tracking: Measure conversion by ICP type
Messaging: Content changes based on the messaging you provide
ICP vs Persona
ICPs
Personas
Companies
People
Industry & size
Job titles
Revenue & growth
Personal goals
Tech stack
Pain points
Accessing ICPs
Go to Settings in the left sidebar
Click ICPs under CONTENT SETTINGS
Click Add ICP to create new
ICP Fields
Core Matching Criteria
These determine which companies match this ICP:
Name: Descriptive identifier (e.g., "Series B SaaS 50-500 employees")
Industry: Specific sectors (e.g., "B2B SaaS, FinTech")
Company Size: Employee count or revenue ranges
Geography: Countries, regions, or cities
Additional Information: Anything else you want AI to consider when doing the matching
Creating an ICP
Navigate to Settings → ICPs
Click Add ICP
Enter ICP details:
Name: Make it specific (e.g., "Growth Stage B2B SaaS")
Industry: Be precise (avoid generic terms)
Size: Use ranges (50-500 employees, $5M-$50M revenue)
Geography: List target locations
Messaging: How AI should adjust based on communication levels
Additional Information: Anything else for AI to consider
Save
Managing ICPs
Archive an ICP
Click Edit on the ICP
Click Archive button
ICP remains but won't be used for new matches
Delete an ICP
Click Edit on the ICP
Click Delete button
Permanently removes the ICP
Must not be assigned to any companies to delete
Link to Personas
Edit the ICP
Find "Personas" section
Add personas typically found at these companies
Helps AI better determine when to use the various ICPs and Personas
How AI Uses ICPs
Automatic Matching
Analyzes company data from multiple sources
Scores against all active ICPs
Assigns best match with confidence
Provides match reasoning
Best Practices
Start with Winners: Analyze your best customers first
Be Specific: "Series B SaaS 50-500 employees" not "Tech companies"
Use Real Data: Base on actual customer analysis
Limit to 3-5: Too many ICPs dilute focus
Update Quarterly: Markets and products evolve
Include Negatives: Define who's NOT a good fit
Troubleshooting
Poor Match Quality
Issue: Companies matching wrong ICPs
Solution: Make criteria more specific, especially industry. Add examples.
Example: Use "B2B SaaS" not "Software"
Related Features
Personas - Individual decision-makers
Seller Profiles - Your company positioning
Resources - Supporting content
Campaign Settings - ICP-based targeting
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