This guide walks you through configuring Ideal Customer Profile (ICP) Fit Score to identify and prioritize high-value accounts based on firmographic data and intent signals. You'll learn how to create a systematic scoring approach that will help your go-to-market teams focus on prospects that are more likely to convert and that can realize greater lifetime revenue. With this guide, you'll be ready to confidently identify and prioritize your most valuable potential customers.
When to Use This
When to Use This
- When you need to define what makes an ideal customer for your business 
- When you want to prioritize accounts based on firmographic data and intent signals 
- When setting up lead qualification criteria for your sales team 
- When you need to systematically score and rank potential accounts 
Prerequisites
- Admin or manager access to your account 
- Clear understanding of your target market characteristics 
- Knowledge of your ICP Fit score attributes (number of employees, revenue, location, etc.) 
Step-by-Step Instructions
Step-by-Step Instructions
Step 1: Access the ICP Scoring Page
Step 1: Access the ICP Scoring Page
Step 2: Set targeted countries
Step 2: Set targeted countries
- Enter the countries that you target (e.g., United States) 
- Assign a fit score weight to this attribute (remember: all weights must total 100) 
- Use the "×" button to remove countries or add multiple geographic markets as needed 
- Use the “Include” toggle to control whether a country is being targeted or excluded: - When “Include” is on, the selected country is part of your targeting 
- When “Include” is off, the country is excluded from your targeting criteria 
 
Step 5: Define Targeted Job Titles
Step 5: Define Targeted Job Titles
- Add the job titles that align with your target buyers (e.g., Digital) 
- Assign a fit score to this attribute 
- Press Enter/Tab to commit each entry 
- Use the “Include” toggle to control whether a job title is being targeted or excluded: - When “Include” is on, the selected job title is part of your targeting 
- When “Include” is off, the job title is excluded from your targeting criteria 
 
Step 6: Create Automated Qualification Prompts
Step 6: Create Automated Qualification Prompts
Step 7: Add Intent Signals
Step 7: Add Intent Signals
- Add behavioral indicators for intent signals that you have previously defined (e.g., "Viewed Pricing", "Requested Demo") 
- Assign appropriate weights based on how strongly these actions predict conversion 
- Use the “Include” toggle to control whether a country is being targeted or excluded: - When “Include” is on, the selected country is part of your targeting 
- When “Include” is off, the country is excluded from your targeting criteria 
 
Step 8: Add Custom Attributes (Optional)
Step 8: Add Custom Attributes (Optional)
- Click + Add attributes to create additional scoring criteria specific to your business 
- Define custom attribute names and assign appropriate weights 
- Click the Save button to apply your changes 
You're now ready to use ICP Fit Scores to identify high-priority accounts!
Key Concepts
Key Concepts
Understanding ICP Fit Scores
Understanding ICP Fit Scores
- Fit Scores indicate account qualification: Higher scores suggest better-qualified prospects that warrant higher prioritization 
- Total weights must equal 100: This ensures proper score calculation across all attributes 
- Scores provide filtering power: Use fit scores to segment and prioritize your prospect database 
Strategic Scoring Approach
Strategic Scoring Approach
- Start focused: Begin with 4-6 key attributes that truly indicate fit rather than trying to include everything 
- Weight by impact: Assign higher weights to attributes that most strongly predict successful sales outcomes 
- Use specific criteria: Narrow parameters reduce false positives and improve lead quality 
- ChatGPT prompts should be binary: Create prompts that return clear Yes/No answers for objective scoring 
Best Practices
Best Practices
- Review quarterly: Adjust scoring criteria based on actual sales performance data 
- Test and refine: Monitor conversion rates by fit score ranges and adjust weights accordingly 
- Align with sales feedback: Regular input from your sales team helps refine what truly indicates a good fit 








