B2B Lead Scoring: How to Prioritise Your Best Prospects
Learn how to score and rank leads based on fit, engagement, and intent signals. Stop wasting time on low-quality leads and focus on prospects ready to buy.
Not all leads are created equal. A VP of Marketing at a 200-person SaaS company who opened your last 3 emails is worth far more than a random contact who never engaged. Lead scoring helps you quantify this difference.
Two Dimensions of Lead Scoring
Fit score measures how well the lead matches your ICP — right role, right industry, right company size. Engagement score measures their interaction with your outreach — email opens, link clicks, social engagement, website visits.
Building a Simple Scoring Model
| Signal | Points |
|---|---|
| Matches ICP role | +20 |
| Matches ICP industry | +15 |
| Right company size | +10 |
| Opened email | +5 |
| Clicked link | +10 |
| Replied to email | +25 |
| Visited website | +15 |
AI-Powered Fit Scores
Tools like PerksMate automatically generate fit scores (0-100) for every lead based on how closely they match your ideal customer profiles. This eliminates the guesswork and lets you focus on high-probability prospects.
Acting on Scores
Route high-score leads (70+) to your sales team for immediate outreach. Medium-score leads (40-69) go into nurture campaigns. Low-score leads (<40) are deprioritised or removed.
Frequently Asked Questions
What's a good lead score threshold for sales handoff?+
Most teams use 70+ as the threshold for sales-ready leads. Adjust based on your conversion data — if leads scoring 60 are converting well, lower the bar.
How do I combine fit and engagement scores?+
Weight them 50/50 to start. A perfect-fit lead who never engages isn't useful, and an engaged lead who doesn't fit your ICP probably won't convert.
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