39 estimates · 30 days

Todd's problem wasn't lead volume — he had plenty of form fills. His reps were burning half their calendar on tire-kickers: renters calling for exterior drainage, out-of-area homeowners outside the service footprint, and budget-dry prospects who booked an appointment they had no intention of keeping. The sales team was running full calendars and closing nothing.

The fix was a qualification layer built directly into the machine, with three tiers of screening. Tier one was an AI receptionist running after hours, collecting the qualification questions (homeowner? service area? budget ballpark?) and routing to a booking link only for prospects who passed. Tier two was a scripted daytime intake that followed the same decision tree with a human voice. Tier three was a hard disqualifier list: any prospect with a red flag (renters, commercial, out-of-area) got routed to a polite decline with a referral to a generalist — not onto Todd's reps' calendars.

Before the qualification layer, Todd's reps were running roughly 60 appointments per month to close 4. After the layer, the funnel narrowed at the top but sharpened at the bottom. In the first 30 days, 39 qualified estimates went on the calendar. Close rate jumped from 7% to 22%. The reps' time stopped being the bottleneck.

Todd now runs a steady 1–2 qualified estimates per day on a set-and-forget cadence — no ad spend shift, no headcount change, just the qualification layer doing the filtering. The same Meta account that was 'producing garbage leads' six months earlier is now the highest-ROI channel in the business, because the machine only sends the reps prospects who can actually close.