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Intent score. What Catch before they bounce does, manually.
Score any anonymous B2B visitor by behaviour + ICP fit. See how the math works — then let Catch before they bounce do it across millions of sessions.
Signals
Score breakdown
Pricing (30)
24
commercial signal
Returns (20)
18
active research
Stakeholders (15)
12
buying committee
Engagement (15)
12
depth on site
Demo (10)
10
evaluation intent
ICP fit (10)
7.5
firmographic
Total intent score
84 / 100
Benchmark
Sales-ready
High intent + ICP fit. Route to AE today.
How it works.
The weights are starting points — Catch before they bounce learns yours from closed-won history. The framework lets you reason about which signals matter before AI takes over.
FAQ.
What is visitor intent scoring?+
A weighted score combining behavioural signals (page mix, return visits, time, engagement) and firmographic signals (company size, vertical, ICP fit) to estimate how likely an anonymous visitor is to buy.
How is buyer intent different from lead scoring?+
Lead scoring works on identified leads (forms filled, contacts in CRM). Intent scoring works on anonymous traffic — most B2B websites are 95%+ anonymous.
What signals predict B2B buying intent?+
Pricing-page visits, return visits within 7 days, multiple stakeholders from the same company, demo-page engagement, comparison-page reads. Each weighted by historical conversion data.
Can I score anonymous visitors?+
Yes — companies, not people. Reverse-IP and account-matching (Catch before they bounce, Clearbit, Common Room) resolve anonymous sessions to companies, then score behavioural signals against that account.
What's a buying-intent signal threshold?+
Set so the top 10-20% of scored visitors get sales attention. Adjust based on bandwidth — too generous and reps drown; too tight and you miss deals.