Most scoring models combine two kinds of signals. Fit signals describe who the prospect is — industry, company size, location — and whether they match your ideal customer. Behavior signals describe what they do — replying to an email, visiting a pricing page — and hint at timing. Traditional CRMs implement this as a points system where someone assigns weights by hand, which works until nobody remembers why a pricing-page visit is worth 15 points and a job title is worth 10. Once the weights feel arbitrary, people quietly stop trusting the number.
Brohns takes a narrower, more legible approach in its lead-generation workflow. After a Finder agent sources local businesses in your niche and area, a Qualifier agent actually reads each prospect's website and produces a 0–100 outdated score — a concrete measure of how badly the site needs the kind of work you sell. The score comes with its breakdown, and Claude adds a per-lead judgment of whether the prospect is genuinely worth pursuing, with the reason written out. That second step is lead qualification: scoring ranks the list, qualification decides who makes the cut.
Explainability matters most at the moment of action. In Brohns, every outreach draft waits in your Approvals queue before anything goes out, so the score is never a verdict you accept on faith — it's the context you check right before deciding a message deserves your approve. A drafted email that opens with the specific finding behind the score turns a number into a reason to reply. And because finding and scoring a batch of leads costs 5 credits, scoring early is cheap insurance against spending drafting effort on prospects who were never a fit.