Most agencies run your ads.
We install the system that runs them.
The Growth Machine is a three-layer Meta acquisition framework built around your unit economics — not guesswork, not industry benchmarks. Your numbers.
Scaling spend without a system doesn't compound. It just costs more.
You scale the budget. ROAS drops. You pull back. Two months later you try again. Same result. Nobody can tell you why
You’re paying $2,500 a month to an agency. They send reports. You don’t know if the numbers mean you’re growing or bleeding.
You’ve been told you need better creatives. Better targeting. A lower CPM. Nobody has ever figured out what your CAC should actually be.
These aren't ads problems. They're what happens when there's no system underneath the spend.
You stop renting results.
You start owning asystem.
Show up, set up campaigns, optimize toward whatever metric looks good, send a monthly report, hope you don’t ask too many questions.
When they leave — and they always leave eventually — you start over. Nothing was built. Nothing was left behind.
Figure out what your business can actually afford to spend to acquire a customer. Then build a Meta acquisition engine designed to operate inside those economics.
When Phase 1 is done, you have a documented CAC target, a running acquisition system, and a dashboard that tells you what to do next. The retainer isn’t to keep the lights on — it’s to operate and improve something that was actually installed.
Three layers.
One compounding system.
Most agencies jump straight to running ads. We start with your numbers — because without knowing what you can afford to spend, scaling just means losing money faster. Each layer builds on the last. The system compounds every cycle.
01
Define
Once the economics are defined, we build the Meta acquisition engine designed to operate inside them. Structured testing architecture. Campaign infrastructure. Optimization rules. Scaling pathways that produce clean learnings instead of random results.
This is where most agencies start. We use it as step two — after the foundation exists to support it.
02
Deploy
Once the economics are defined, we build the Meta acquisition engine designed to operate inside them. Structured testing architecture. Campaign infrastructure. Optimization rules. Scaling pathways that produce clean learnings instead of random results.
This is where most agencies start. We use it as step two — after the foundation exists to support it.
03
Deploy
The system has to be operated, not just set up. Every month we read the signals, diagnose the constraint, and deliver a decision roadmap — the next highest-leverage move for your specific account.
This is the part most agencies never install. It’s also what makes the difference between a system that compounds and a system that drifts.
Diagnose → Improve → Scale → Repeat
Every cycle the system runs, it gets smarter. Better data. Better decisions. Better CAC. That's what compounding looks like in paid acquisition.
Amazon seller. Fresh Shopify store.
Zero Meta history.
1,119
new customers
$39
avg CAC
11×
spend scaled
Phase 1 delivers four things.
In 30 days.
CAC Targets Defined
Breakeven CAC, target CAC, and scaling CAC — calculated from your actual margins, not guessed from industry averages.
CAC Targets Defined
Campaign structure, testing architecture, and optimization rules — designed to operate inside your economic targets from day one.
Growth Dashboard Live
Your acquisition model — LTV by product, cohort tracking, CAC by month — connected to live data so every decision has a source of truth.
Priority Roadmap Delivered
A clear picture of what to improve next — creative, offer, funnel, or audience — ranked by expected impact on your CAC.
Don't take our word for it.
“[Testimonial placeholder — add client quote here. Ideally references a specific result or moment of clarity.]”
[Client Name]
[Brand / Industry]
“[Testimonial placeholder — add client quote here. Ideally references a specific result or moment of clarity.]”
[Client Name]
[Brand / Industry]
“[Testimonial placeholder — add client quote here. Ideally references a specific result or moment of clarity.]”
[Client Name]
[Brand / Industry]
A pattern, not a fluke.
Home Fragrance · Amazon → DTC
Zero to 1,119 new customers in 12 months.
Fresh Meta account. No history. We built the economics first, installed the engine, and scaled spend 11x while holding CAC inside target the entire time.
$119k
net revenue
$39.55
avg CAC
31%
net margin
Read full case study →
Home Fragrance · Amazon → DTC
[Case study headline — one result, specific.]
“[Testimonial placeholder — add client quote here. Ideally references a specific result or moment of clarity.]”