Contact & Company Score
Users will now instantly know if a contact or company matches their Ideal Customer Profile (ICP). We just launched two new columns in the data table:
🏢 Company Score
👤 Contact Score
These scores automatically classify contacts and companies based on the user’s ICP, replacing the Job Title and Company Review AI Variables.
Users no longer need to manually evaluate each entry—the platform does it for them! 🚀
How does scoring work?
🏢 Company Score:
Each company is classified as High, Medium, Low, or Disqualified based on how closely they match your Ideal Customer Profile (ICP) from the AI Playbook.
You’ll see the score in the table, and hovering over it will show you the specific reasons.
Classification Criteria
✅ High Score (Best match) – The company meets all three key ICP criteria:
Company size – Company size approximately matches the target size. (e.g., ICP = 50–200 employees, Company = 120 employees)
Industry – Industry is an exact or very close match. (e.g., ICP= SaaS, Company = Software Development)
Location – Location is within the desired target region. (e.g., ICP= United States, Company = New York)
🟡 Medium Score (Good fit) – The company meets some but not all ICP criteria:
Company size – Company size is equal or larger than target. (e.g., ICP = 50 employees, Company = 300 employees)
Industry – Industry is broadly related but not an exact match. (e.g., Tech-related but not exactly Software Development, like IT Services)
Location – Country matches even if the city doesn't. (e.g., ICP = Germany, Company = Berlin)
🟠 Low Score (Possible fit) – The company is somewhat relevant but has notable differences:
Company size – Company size is lower than target. (e.g., ICP = 100 employees, Company = 40 employees).
Industry – Industry doesn't closely match. (e.g., ICP = SaaS, Company = Financial Services).
Location – Company is outside the target countries but might still be relevant.(e.g., ICP= North America, Company = Brazil).
❌ Disqualified (Not a fit) – The company is completely outside the ICP criteria:
Disqualifying Factors – Matches disqualifying traits.(e.g.,B2C if B2C is disqualified).
Industry – Industry is clearly irrelevant. (e.g., Agriculture company when targeting Tech companies)
Missing Information – No sufficient data to confidently score. (e.g., Company lacks industry or employee size information).
👤 Contact Score:
Each contact is classified as High, Medium, Low, or Disqualified based on their job title, location, and associated company score.
You’ll find the score directly in the data table — and just like with companies, you can hover over the score to see the specific reasons behind the rating.
Classification Criteria
✅ High Score (Best match) – The contact strongly matches the ICP criteria:
Job Title – Same or very similar job title to target ICP titles. (e.g., ICP = Sales Manager, Contact = Business Development Manager).
Location – Location is within the desired target region. (e.g., ICP= United Kingdom, Contact = London).
Company Score – Company Score is High.
🟡 Medium Score (Good fit) – The contact partially matches the ICP criteria:
Job Title – Same or similar job title, located in the same country, and Company Score is Medium. (e.g., ICP = Marketing Director, Contact = Marketing Manager).
Job Title – Same department but different seniority, located in the same country, and Company Score is High. (e.g., ICP = VP of Sales, Contact = Sales Coordinator)
Location – Same or similar job title, different country, and Company Score is High.
🟠 Low Score (Possible fit)– The contact is less aligned but still potentially relevant:
Job Title – Same or similar job title, same country, but Company Score is Low.
Job Title – Same department but different seniority and Company Score is Medium.
Job Title – Same department but different country, and Company Score is High.
❌ Disqualified (Not a fit) – The contact should be excluded:
Disqualifying Factors – Contact meets any disqualifying factor. (e.g., Freelancer if freelancers are disqualified).
Company Score – Company Score is Disqualified.
Job title – Job title belongs to a different department. (e.g., ICP= Sales, Contact = Finance)
Location – Contact is in a different country, and Company Score is Medium, Low, or Disqualified.
⚡ What users need to do:
ℹ️ To access these insights, users must complete their ICP in the AI Playbook page. They can fill it in manually or use Fill with AI for quick setup.
ℹ️ Not enriched status:
If a company or contact is missing any of the critical fields listed below, the status will be marked as NOT ENRICHED. To fill in the missing information, users must Enrich Data from LinkedIn.
Required fields for enrichment:
Company: Company name, industry, description, employee range, number of employees, country and city.
Contact: Job Title, company and location.
If after enrichment the required fields are still missing (e.g., because LinkedIn didn't have the data either), the status will remain as NOT ENRICHED.
ℹ️ Job title comparisons are flexible — synonyms, role equivalents, and translations are considered.
ℹ️ If a contact’s information is updated (e.g., job promotion or job change), the score will automatically update as well.