Product 4 min read

Leadfacto raises the bar on decision-maker matching

Our new scoring model ranks the person most likely to own a hire, not just anyone with the right job title.

Eric Busch
Eric Busch· Founder, Leadfacto
Published
A ranked list of decision-makers with scoring probabilities

The problem with title-based filters

Most sales and recruitment tools let you filter by title: 'VP Engineering', 'Head of Talent', 'CTO'. That works in a 20-person startup. In a 5,000-person enterprise, there are twelve VPs of Engineering and none of them own the specific hire you care about.

Title matching returns thousands of contacts. What you actually need is one person: the one who reports up to the budget holder for this specific role in this specific team.

What we shipped

Our new scoring model combines the job ad's language, the company's org structure (inferred from LinkedIn hierarchy), recent internal moves, and historical hiring patterns to output a probability score for each candidate decision-maker.

In backtesting against 40,000 known placements, the top-ranked contact was the actual decision-maker 78% of the time — up from 51% under the previous title-only model.

What it means for you

You reach the right person more often, on the first try. Reply rates in our beta cohort are up 42% versus the previous model. And you spend less time second-guessing which of five 'Talent Directors' to email.

decision-maker matchinghiring manager identificationrecruitment AILeadfacto product update

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