What Is Lead Scoring?
A system that ranks leads by their likelihood to buy based on fit and behavior.
Lead scoring assigns numerical values to each lead based on two dimensions: demographic fit (who they are) and behavioral engagement (what they do). The combined score determines when a lead is ready for sales outreach and how it should be prioritized.
Fit scoring evaluates attributes like job title, company size, industry, and geography. A VP of Marketing at a 500-person SaaS company scores higher than an intern at a 10-person agency. Behavioral scoring tracks actions like website visits, content downloads, email opens, webinar attendance, and pricing page views.
Most demand gen teams build their scoring models in marketing automation platforms like HubSpot, Marketo, or Pardot. The model defines point values for each attribute and action, sets a threshold for MQL status, and routes leads to sales when they cross it.
The biggest mistake in lead scoring is set-it-and-forget-it. Scoring models decay. The actions that predicted buying intent six months ago may not predict it today. Review your model quarterly by analyzing which scores actually correlate with closed deals. If leads scoring 80+ close at the same rate as leads scoring 50, your model is not differentiating.
Frequently Asked Questions
What is the difference between lead scoring and lead grading?
Lead scoring measures behavioral engagement (what the lead does). Lead grading measures demographic fit (who the lead is). The best models combine both into a single qualification framework.
How often should you update your lead scoring model?
Review quarterly at minimum. Compare scoring distributions against actual pipeline outcomes. If high-scoring leads are not converting better than low-scoring leads, the model needs adjustment.
What tools are best for lead scoring?
HubSpot, Marketo, Pardot, and 6sense all offer built-in lead scoring. For advanced predictive scoring, tools like MadKudu or Infer use machine learning to identify patterns that manual models miss.