Paid advertising strategy built from daily account management. Platform tactics, budget decisions, and the discipline that turns spend into profit.
AI-Native Agency
Yes — and the smaller the budget, the more it matters. A system that kills a dead ad at $3.02 instead of $300, that converts a 20-person retargeting audience into $108 revenue at 3.04x ROAS, and that catches a $300 placement mistake before it becomes a $3,000
AI-Native Agency
Yes — Meta auto-enables Advantage+ features on advertiser campaigns without consent. Business Insider documented the pattern in July 2026: creative modified, targeting expanded, placements shifted, no notification. We tracked what even deliberate campaign changes cost on real spend — $373 across three experiments, each one caught within hours. If intentional changes
AI-Native Agency
Short answer: All AI ads look the same because every tool trains on the same corpus and optimizes toward the same average. We tested it: six AI-generated variations, $41.64 spent across 373 impressions, zero conversions. The original ad, written from real client data, sold the same day. The
AI-Native Agency
The tool isn't the variable — the operating system around it is. Two agencies can log into the same AI ad platform, launch the same day, and one burns money while the other compounds. The difference is never which buttons they clicked. It's whether anything in their
AI-Native Agency
$25 a day is not too low to make Meta ads work in 2026 — but only if every dollar gets read. Small budgets fail from neglect, not size. In our own $25/day lab, Meta picked a winning ad within 24 hours, we killed a dead one at $3.02
AI-Native Agency
AI already replaced half of a media buyer's job — the half that was clicking buttons. Launching campaigns, shifting budget, pausing losers, expanding audiences: Meta's own tools now do that faster and cheaper than any human, and by Meta's own public roadmap the company wants
AI-Native Agency
An agency runs Meta ads on an AI system by wiring one connected machine into the ad account — it reads the data every morning, tests cheap, kills on fixed rules, and feeds every loss back so the next test starts smarter. That's the opposite of stitching together a