An AI growth engine for Meta ads.
A closed-loop AI system that catches trends before they break, produces the winning creative, deploys it, and works every lead itself. Cost-per-lead fell from $27 to $9, and the client scaled from $30K to $90K MRR in two months.
Two months from kickoff to $90K MRR. Figures blended across active ad accounts.
The problem was the whole loop.
A founder-led agency at ~$30K/month. One overworked media buyer, week-long creative turnarounds, leads dying in a spreadsheet.
Clients churned in 60–90 days because results were unprovable. So we built the entire acquisition loop: research → creative → deployment → nurture → close → reporting.
- Creative too slow
- Reacting to trends, never early
- Leads rotting, no follow-up
- Unprovable value, constant churn
Six subsystems. One loop.
A continuous Sense → Synthesize → Ship → Convert → Learn cycle. Closed-revenue data flows back to the top, so the engine compounds.
Signal Radar
A 24/7 crawler across the Meta Ad Library, short-form video, SERPs, and competitor pages. Every long-running ad lands in a searchable swipe vault.
Virality Engine
A Virality Score flags angles about to break out — not after. Breakouts surface on a live Wave Board and go straight to production.
Creative Forge
Signal becomes finished ad creative in minutes — angles, hooks, AI image and video — checked against brand voice and Meta policy before a dollar is spent.
Deployment Brain
Approved creative auto-launches via the Meta Marketing API. Budgets reallocate, losers die, winners scale, fatigued ads get fresh variants — automatically.
Conversion AI
Every lead gets an AI text or call in ~38 seconds, referencing the exact ad. Only hot, qualified leads reach a human closer.
Proof Layer
A white-label client portal with closed-loop attribution — spend → lead → closed → revenue. Value becomes undeniable. Churn stops.
Catch the wave before it crests.
Late trends waste money. The Virality Score flags angles about to break out — a one-to-three-week head start, when attention is cheapest. That head start drove much of the cost-per-lead drop.
- Engagement acceleration
- Cross-platform echo
- Ad-spend longevity
- Saturation penalty
- Niche relevance and sentiment
No lead goes cold.
Cheap leads nobody calls back are cheap waste. Every lead is engaged in ~38 seconds, qualified, and nurtured. Only hot ones reach a closer — and the system learns which ads close, optimizing for revenue, not cheap leads.
- Captured in real time
- AI first touch in ~38 seconds
- Nurture across SMS, email, retargeting
- Only hot leads reach closers
- Auto-booked — show rate 51% → 79%
- Closed revenue feeds creative
A moat that widens daily.
Competitors duct-tape six tools and chase cheap clicks. This is one system optimizing for closed revenue — every lead makes it smarter. A rival starts from zero data.
- Every close trains the engine
- Optimizes for revenue, not leads
- Signal to creative in minutes
- One system, not six tools
Why each metric moved.
Each subsystem works alone. The closed loop is what compounds.
Why cost-per-lead fell 67%
Early trends buy the cheapest attention. 23× more creative finds winners faster. Losing placements get cut automatically.
Why close rate doubled
The Conversion AI: 38-second speed-to-lead, persistent nurture, and closers who only talk to qualified leads.
Why MRR tripled in two months
More clients without more headcount (81% fewer media-buyer hours), higher retainers, and far lower churn — so revenue compounded.
“We were paying $27 for leads we never called back. Two months later it's $9 a lead, our closers only talk to buyers, and we've gone from thirty grand a month to ninety — without hiring a single person. It feels like we have a machine.”
Founder · performance-marketing agency
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Running paid acquisition by hand? This system fixes the whole loop. Let's scope it.