Lead Scoring
3 min read
Definition
Lead scoring is a methodology for ranking prospects based on their perceived value to the organization. Points are assigned based on demographic attributes, firmographic data, and behavioral signals to help sales teams prioritize the most promising leads.
How It Works
| Signal | Example | Points |
|---|---|---|
| Job title | VP or C-level | +20 |
| Company size | 100+ employees | +15 |
| Form submitted | Demo request form | +25 |
| Page visited | Pricing page | +10 |
| Email opened | Product launch email | +5 |
| Unsubscribed | Opted out of emails | -20 |
Why It Matters for Forms and Surveys
- Qualify leads at the point of capture: form answers like company size, budget, and timeline are natural scoring inputs.
- Route leads automatically: high-scoring leads go directly to sales; low-scoring ones enter nurture sequences.
- Improve sales efficiency: sales teams focus on leads most likely to convert.
- Align marketing and sales: shared scoring criteria create a common definition of "qualified."
Scoring Models
Points-based
Assign manual point values to each attribute and behavior. Simple to set up and understand.
Predictive
Use machine learning to analyze historical data and predict which leads will convert. More accurate at scale.
Tiered
Group leads into tiers (hot, warm, cold) based on combined criteria. Good for small teams.
Related Terms