Apollo, ZoomInfo, and Sales Navigator return 8,400 firmographic matches. None of them know which of those will actually respond, take a meeting, or close. We give you 284 contacts scored above 80 on a 100-point conversion model, with the specific signals that drove each score.
Apollo returns 8,400 firmographic matches. We return 284 scored above 80 on a 100-point conversion model. AI agents research each account for buying signals, funding, hiring, tech stack, leadership changes, and score every contact. Below threshold, skipped. Above, prioritized.
Operates in SaaS / Financial Services. Multiple verified sources confirm fit with the target industries criterion.
Mid-market band at ~150 employees, matching the 50 to 500 headcount range defined in the ICP.
Estimated ARR in the $30M to $60M range, above the $20M threshold required; medium confidence on exact figure.
Headquartered in San Francisco with strong North America and Europe operations. Matches regional criterion fully.
Each signal is weighted by how strongly it correlates with actual conversion across millions of B2B emails. A funding announcement is worth +18 points. A vague intent visit is worth +2.
Contact enters your ICP via search, CSV upload, or auto-discovery. AI agents kick off independent research per account.
LinkedIn activity, news mentions, funding rounds, M&A, leadership changes, tech stack shifts, press, podcast appearances, G2 review activity.
Each signal contributes points based on its measured correlation with conversion. A fresh raise is +18. A Bombora visit is +2. Vanity signals are throttled.
Above 80 is reach out today. 60-80 is nurture pool. Below 60 is skip unless something changes. Re-scored every 24-72 hours.
A lot of "intent data" out there is just visit data, someone from acme.com browsed a Bombora topic page. That's noise. We weight situational signals that correlate with real buying motion.
Each carries real weight because each correlates with actual conversion in the campaign data we trained on.
Signals that historically don't predict conversion get small weights or are filtered out entirely.
Three score bands, three different behaviors. The ICP score actively decides who gets emailed, who waits in nurture, and who gets skipped.
Above-threshold prospects flow straight into the active sequence. Sorted by score so your SDR works the strongest first.
In-the-fit-window but no urgent buying signal. Held in nurture and re-scored every cycle. If a signal lands, they get promoted.
Not enough fit, not enough signal. Sender reputation gets protected, your team's time doesn't get burned on bad-fit replies.
20-minute demo. Bring your target industry and role and we'll show you which contacts in our database already score above 80 for your motion.