Creative-first ad system
Static, motion, and UGC — all on-brand, refreshed weekly, A/B tested against live spend. Your content engine feeds the pipeline, so fresh assets land before fatigue sets in. Creative stops being the bottleneck.
Meta, Google, and YouTube — managed by people who care about contribution margin, not vanity reach. Creative, copy, targeting, and real attribution, all tuned to one number: the dollars that came back.
Everybody can see what leaves the account. Almost nobody can see what came back. Three versions of that gap come up on nearly every paid-media call — and in all three, the budget isn't the broken part.
Spend went out. Reports came back full of impressions and "engagement." Not one line tied to a booked job or a closed sale. You're done paying for activity that never reaches revenue.
Referrals feel like gold; ad leads feel like a gamble — but you have no number to compare them. Without closed-loop attribution you're optimizing blind, scaling the wrong campaigns and starving the ones that pay.
Meta and Google will eat every dollar you give them. The constraint is fresh, on-brand assets — static, motion, UGC — produced fast enough to beat ad fatigue. You can't keep up, so performance decays.
Spend in, leads out, revenue back, read end to end — no reach, no reactions. This is the shape of the report we build against, with illustrative figures. Producing a report like it takes three engines running together, and those are next.
$ sacred report --window 24h --channels all
META spend $612 leads 41 CPL $14.93 ROAS 4.1×
GOOGLE spend $388 leads 19 CPL $20.42 ROAS 3.6×
YOUTUBE spend $204 views 18.7k leads 9 ROAS 2.9×
— matching leads → CRM → closed revenue …
closed deals 11 pipeline $33,400 blended ROAS 3.8×
contribution margin +$18,920 vs ad spend $1,204
— bid algos refed with closed-revenue signal ✓
creative fatigue: 2 sets healthy · 1 flagged for refresh
Creative supply, platform-native execution, closed-loop attribution — wired so the bid algorithms optimize against money rather than against a slide. Aim is not enthusiasm: you learn what a customer costs and what one returns before the next dollar goes out. One of the three usually does most of the lifting, and there's a client below where it did.
Static, motion, and UGC — all on-brand, refreshed weekly, A/B tested against live spend. Your content engine feeds the pipeline, so fresh assets land before fatigue sets in. Creative stops being the bottleneck.
Meta, Google, and YouTube — with genuinely different playbooks per platform, not one budget split four ways. Each channel run to its own strengths: demand capture, demand generation, and retargeting that actually compounds.
Pipeline and closed revenue fed back into the platforms. The bid algorithm learns from real dollars, not surface clicks — so it scales the leads that close and starves the ones that don't. The dashboard finally tells the truth.
// Engine 01 did the lifting on the account below. Same budget line, different return line.
A roofer running a $12K/mo Meta budget was stuck at 1.6-to-1 ROAS. We didn't touch the audiences or the offer. We rebuilt the creative loop — sharper assets, shipped weekly, with a feedback loop into the bid algorithm. Sixty days later: 4-to-1.
Same money in. The difference was supply and signal. This is one client's result under their conditions — shared as context, not a promise. Your numbers get mapped on the call.
Every figure on this page has a switch behind it. Stop paying and the leads stop the same afternoon. Rankings don't work that way — they're an asset on the other side of the ledger, and they keep paying after the spend ends.
Book a 30-minute call and we'll audit your account live — where the spend leaks, what the creative loop is missing, and the fastest path to a number you can raise on purpose. The read is yours to keep whether or not we ever touch the account.
// Prefer to talk now? Call Taylor (380) 256-3499 · Text Sage (239) 539-6081