Features & How-To
    4 min read

    Lead Scoring Explained

    Understand how AI scores and prioritizes your leads

    Lead Scoring Explained

    AI-powered lead scoring helps you focus on the most promising prospects.

    How Scoring Works

    Our AI analyzes multiple factors:

    FactorWeight
    ICP Match30%
    Engagement25%
    Company Fit25%
    Data Quality20%

    Score Ranges

  1. 90-100: Hot lead, prioritize immediately
  2. 70-89: Warm lead, good potential
  3. 50-69: Lukewarm, needs nurturing
  4. Below 50: Cold, may not be a fit

    5. What Affects Scores

    Positive factors:

  5. Matches your ideal customer profile
  6. High engagement (opened emails, clicked links)
  7. Company size/industry alignment
  8. Complete contact information
  9. Recent activity

    10. Negative factors:

  10. No email address
  11. Unsubscribed from emails
  12. Company outside target market
  13. Stale data (no activity in 90+ days)

    14. Viewing Lead Scores

  14. See scores on the Leads list
  15. Filter by score range
  16. Sort to prioritize high scores

    17. Improving Scores

  17. Add more data to leads
  18. Track engagement
  19. Keep information current

    20. Was this article helpful?

    Related Articles

    How to Create Your First Lead

    Learn how to add and manage leads in SalesOS

    Analytics and Reporting

    Track performance with built-in analytics

    scoring
    leads
    AI
    prioritization