Lead Scoring Explained: How to Surface Your Hottest Prospects Automatically
6 min read
Lead scoring is a system that assigns point values to contact actions and attributes. The more a contact engages with your marketing and matches your ideal customer profile, the higher their score. When the score crosses a threshold, a human or an automation takes action. Done well, it means your team always knows exactly who to talk to first.
The Two Types of Scoring Signals
Explicit signals are things you know about the contact: their job title, company size, industry, location. Implicit signals are behavioral: email opens, link clicks, page visits, content downloads, webinar attendance. Both matter. A contact with a perfect profile but no engagement is less ready than one with moderate profile fit and high engagement.
Assigning Point Values
- Email open: 1 point
- Email link click: 3 points
- Pricing page visit: 10 points
- Demo request: 20 points
- Job title matches ICP exactly: 15 points
- Company size in target range: 10 points
- No email open in 60 days: -5 points (score decay)
Setting the Sales-Ready Threshold
The threshold that triggers a sales handoff should be calibrated to your actual data. Pull the historical scores of contacts who eventually became customers and find the score range where conversion became meaningfully more likely. That is your threshold. Start with a guess - say 40 points - and adjust it after 60-90 days of data.
Score Decay
Without decay, scores only go up. A contact who was hot six months ago and has been completely silent since then should not still show as a high-priority lead. Implement a decay rule: if no engagement in 30 days, reduce the score by a fixed amount per week. This keeps your scoring system current.
Common Pitfalls
Over-scoring trivial actions is the most common mistake. If every email open adds 5 points, a subscriber who opens ten newsletters but has no buying intent looks like a hot lead. Keep action values proportional to actual buying intent. Revisit the model every quarter to check if scored leads are converting at the expected rate.