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Join Agency OS: https://ad-lab.io/agencyos?video=rgw2... Follow my IG: / patrickschenken 4 agency models. 3 ceilings. 1 that now does over $220,000 a month at 4 hours a day This breaks down every model I ran, why each one hit a wall, and exactly what changed when I stopped hitting mine The full stack generalist model feels smart because every business is a potential client. But when every client gets something different, you can't systemize anything, can't train a team, and you become the bottleneck for every single deliverable Agency owners are grinding 50 to 60 hours a week at that stage and barely clearing $10,000 a month Niching into Meta and Google Ads for e-commerce felt like a real upgrade until the platform started doing the media buying itself. Moving to Google Ads alone was better, but a single-service agency is easy to replace and caps what you can charge The model that actually scaled was Google and YouTube ads for e-commerce, run together. YouTube ads are complex, creative-heavy, and hard to execute well. Fewer agencies offer it at a high level. The ones that do charge a premium Some clients went from a few thousand a month to over $20,000 a month. Same niche. Same type of client. Massively different revenue per account The second half covers how rebuilding the entire backend on AI brought outbound, reporting, campaign monitoring, and client management down to 4 hours a day without the quality dropping If you're stuck at 10 to 50k a month and can already feel the ceiling, this is where you figure out exactly why. CHAPTERS: 00:00 - 4 Agency Models, 1 That Hit $220K/Month 00:23 - Why the Full Stack Model Is a Trap 01:52 - Niching Into Paid Ads (And Why It Still Failed) 03:18 - Google Ads Only (Still Hit a Ceiling) 04:31 - The Model That Finally Broke Through 06:00 - How AI Runs the Agency Without Me