01How it works
You give points for things that signal a good fit and real interest, and subtract points for poor fit. Leads above a threshold go to sales first.
02A simple starter model
| Signal | Points |
|---|---|
| Company in your target industry | +20 |
| Decision-maker job title | +15 |
| Asked for pricing or a demo | +30 |
| Opened 3+ emails | +10 |
| Visited the pricing page | +10 |
| Student or personal email, no company | -20 |
| No activity for 30 days | -15 |
Score 50 or more: call today. 25 to 49: nurture. Below 25: low priority.
03Mistakes to avoid
- Too many criteria at the start. Begin with 5 to 7.
- Never reviewing the model. Check monthly which scores actually closed.
- Scoring without acting. A score is useless if nobody calls.
04In your CRM
Track the signals as fields and lifecycle stages on each contact, and segment by them. SuperForge's Data Forge lets you build segments, and Forge AI can brief you on a lead before you call.
05Questions
What is a good lead score?
It depends on your model. Pick a threshold, then adjust it based on which scores actually turn into customers.
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