$19K from $667

Dry Duck Basement Waterproofing launched their Meta account with DryScale and closed their first $19,000 job within seven days of go-live. $667 of ad spend produced $19,000 of tracked revenue — a 28.5x ROAS on the first week of paid traffic, before the algorithm had finished its learning phase, before the secondary channels had even been turned on.

The ratio is striking on its own, but the ratio undersells the actual story. What it proves: when the Meta build, the qualification layer, and the speed-to-lead infrastructure are all installed at the same time — same week, same launch — the first seven days of paid traffic don't have to be a learning-phase write-off. The system can connect with a real buyer fast enough to close before the campaign has even finished optimizing.

The Meta build itself was the same lean playbook: homeowner-POV creative, a 4-field qualification form screening on homeownership and service area, server-side CAPI from day one, broad audience with geographic + homeowner layers only. No interest targeting. The qualification layer (an AI receptionist for after-hours + a scripted intake flow during the day) made sure the appointments hitting the calendar were real buyers, not tire-kickers. By the time the first $19K job got signed, the system had already filtered the renters, the out-of-area calls, and the budget-dry inquiries off the calendar.

Seven days is not a tenured operating story — it's a velocity proof point. What it signals is that the system, landing on a clean account with a real operator behind it, is doing what it was designed to do from day one. The 30, 60, and 90-day numbers will tell the durability story. The first 7 days already told the velocity one — and at 28.5x ROAS, the system has already paid for the first month of engagement before the second week of ads ran.