Intent-Driven Prospecting Engine
For sales teams generating more pipeline signal than they have time to triage.
The right prospects show up in the right rep's queue, already enriched, scored, and briefed. Reps stop sifting through lists. They start calling people who are actually in-market this week. The volume of meetings goes up; the time it takes to prep for each one goes down.
The engine watches for the signals that mean a company is about to make a buying decision — hiring patterns, technology changes, funding events, content the buyer reads, the way a prospect uses your site. It cross-checks those signals against the accounts that match your ICP. When a match clears the threshold, the account gets enriched, scored, routed, and pre-briefed before anyone on the sales team sees it.
Numbers reflect aggregate ranges across four anonymized deployments. The conversion lift holds across deployments of different sizes; the prospecting signal mix is tuned to each ICP. Signal taxonomy and the scoring model live in the engineering disclosure.
Outcome metrics
- Qualified meetings booked per month2.4x–3.1xVersus the quarter before the engine went live.
- Rep time spent on research before a calldown ~70%Prospects arrive pre-briefed; reps work from a one-pager.
- Pipeline-to-closed-won conversion1.6x–2.0xDriven by tighter ICP fit, not by widening the funnel.
- Cost per qualified meetingdown 40–55%Aggregate range across 4 deployments.
Deployment record
- Engagement length
- 9–18 months
- 13 months average across deployments.
- Team capacity
- 3–6 FTE
- Fractional team deployed per engagement.
- Rocks landed
- 14
- 86% landed against quarterly Rocks.
- Deployments
- 4
- Aggregate across anonymized engagements.