How I Make $200K/Month With This Boring Facebook Ads Strategy

The dropshipping world has a dirty little secret: the most successful sellers aren't using revolutionary tactics—they're mastering the basics at scale. When I started dropshipping in 2019, I fell into the same trap as everyone else. I spent thousands on courses promising 'secret' Facebook ads strategies, tested every bidding strategy under the sun, and even hired 'gurus' who turned out to know less than YouTube tutorials. My breakthrough came when I analyzed data from 50+ successful dropshipping stores and discovered something shocking: they were all using variations of the same simple approach. No fancy automation, no complex funnels, just consistent application of proven principles. This 'boring' strategy works because it leverages Facebook's algorithm the way it was designed to be used, not trying to game the system with tricks that stop working after two weeks. Think about it—Facebook makes $117 billion annually from ads. They want advertisers to succeed. The platform is literally designed to help you find profitable customers if you follow their recommended best practices.

Now for the meat and potatoes—the exact strategy I use every single day. This isn't sexy, it won't win any marketing awards, but it consistently generates $200,000+ monthly. The foundation is what I call the '3-3-3 Framework': 3 winning products, 3 proven audiences per product, and 3 ad variations per audience. That's it. No complex funnels, no retargeting masterclasses, just systematic testing and scaling of what works. The beauty of this approach is its simplicity. You're not juggling 50 campaigns or testing 100 different interests. You're laser-focused on a handful of proven winners that you scale methodically. This framework has worked across every niche I've tested, from pet products to tech gadgets, because it's based on consumer psychology, not platform hacks.

Scaling is where the magic happens, and ironically, it's the most boring part of the entire process. My scaling strategy hasn't changed in 18 months: increase budget by 20% every 48 hours on profitable campaigns until performance drops. That's it. No surfing, no aggressive duplication, just steady, predictable growth. When a campaign hits 3x ROAS consistently for a week, it enters my scaling protocol. I've scaled campaigns from $50/day to $5,000/day using this method. The key is patience—most dropshippers kill profitable campaigns by scaling too aggressively. My $200K months are built on 5-7 campaigns each spending $1,000-$2,000 daily at 3.5-4.5x ROAS. It's not exciting, but my bank account doesn't care about excitement.

Even with a boring strategy, dropshippers find creative ways to fail. The biggest mistake I see is impatience—expecting immediate results from a platform designed for gradual optimization. Facebook's learning phase exists for a reason. Interrupting it with constant changes guarantees failure. Another profit killer is creative fatigue. That boring ad that's been running for 6 months? Your audience is tired of it, even if you're not. I refresh creative every 4-6 weeks, maintaining the same message but changing the presentation. Testing too many variables simultaneously is another mistake. When you change audiences, creative, and budget simultaneously, you can't identify what actually impacts performance. My boring approach tests one variable at a time, providing clear data for decisions.

While my core strategy is boring, I've developed advanced tactics that squeeze extra profitability from campaigns. These aren't revolutionary—they're systematic optimizations based on data patterns I've observed across thousands of campaigns. The first is dayparting optimization. Despite Facebook's recommendations against it, I've found certain products perform dramatically differently by time of day. My fitness products convert best 6-10 AM and 6-10 PM when people are thinking about exercise. Home products crush it during lunch hours and evenings. By adjusting budgets to match these patterns, I've increased overall ROAS by 15-20%. Another advanced tactic is geographic optimization. Not all states/regions convert equally. California might show 5x ROAS while Mississippi shows 1.5x. Instead of excluding underperformers entirely, I create separate campaigns with adjusted bids.