The part that
doesn’t sleep.
Every move is backed by analytics, testing and measurable outcomes. Models do the continuous watching. Operators make every decision that touches your money.
Six stages, running whether or not anyone logs in.
Ingest
Ad platforms, GA4, store, CRM and P&L pulled into one revenue-truth model — so there is a single version of what happened.
Model
Incrementality, creative fatigue, cohort LTV and contribution margin scored per channel, per SKU, per week.
Decide
Budget, bid and creative moves surfaced with the reasoning attached — so an operator can argue with the recommendation, not just accept it.
Deploy
Approved changes push to platforms, pages and sequences with an audit trail on every edit.
Learn
Outcomes feed back. Winners become reusable assets; failures become documented constraints nobody repeats.
Guard
Spend, CPA and tracking anomalies flagged within minutes — pause rules fire before waste compounds, not on Monday.
Anomalies, before the invoice
Sudden CPM shifts, runaway ad sets, budget drift and delivery collapse — caught the same day rather than in a month-end review.
Fatigue curves
Every asset has a half-life. We track frequency, CTR decay and the point where a winner starts quietly costing you money.
Where people leave
Drop-off by step, device and cohort — so the fix goes where the leak is instead of where the meeting was.
What a customer is worth
Repeat behaviour and LTV by acquisition source, so you can pay more for the traffic that actually comes back.
Share of search & stock
Rank, buy-box and availability watched together — being listed is not the same as being found, and being found is useless out of stock.
One page, every week
Revenue, margin and CAC first; the moves that caused them second; platform vanity metrics last, if at all.
Anyone selling fully autonomous marketing is selling you the part that goes wrong quietly.
Models are excellent at watching and terrible at judgement. They don’t know a supplier is late, that the founder hates a headline, or that a category is about to get regulated. So the split is deliberate: machines watch continuously, people decide.
Every automated recommendation carries its reasoning and every deployed change carries an audit trail. If something moves, you can see who moved it and why — including when the answer is “we did.”
Built on your infrastructure, never behind our login.
Every account, pixel, automation and document stays in your name. If we ever part ways, the machine keeps running — that’s the test of whether we built a system or a dependency.
Point the engineat your P&L.
Thirty minutes to see what it would watch first in your account — and what it would flag on day one.
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