Still building interest stacks or leaning hard on lookalike audiences? That budget is likely being wasted. Interest-based targeting isn’t fading — it’s effectively dead, and plenty of advertisers are still stuck running pre-iOS 14 tactics that no longer match how Meta’s algorithm actually works.
iOS 14 didn’t just break tracking — it changed targeting itself
When Apple’s iOS 14 launched, Meta lost significant data visibility across apps — retargeting pools shrank, lookalikes weakened, interest buckets grew unreliable. But underneath that disruption, Meta rebuilt its entire optimization engine. It no longer leans on targeting layers the way it used to — it runs on creative signals instead. Meta’s own Advantage+ audience documentation confirms this shift directly.
What Meta actually optimizes for now
Across large ad spend, the same pattern holds: Meta now prioritizes creative performance signals (hook rate, CTR, engagement), simplified account structures, and consistent historical optimization patterns — not interest stacks or elaborate custom lookalikes.
A real test, real results
Two otherwise identical campaigns were tested: one with complex interest-plus-behavior targeting, one with broad targeting using just age and location. Creative, product, and budget stayed exactly the same across both. Broad targeting outperformed by 27%. The reason: Meta’s algorithm reads intent better than manual targeting can — but only once it’s fed the right signals to work with.
What actually drives Facebook ad success now
Creative testing. Test hooks (the first three seconds matter most), rotate formats — UGC, motion, carousels — and vary emotional and value-based angles.
Simplified campaign structure. Limit ad sets per campaign, keep objectives clear, and avoid overlapping optimizations that confuse the signal.
Consistent optimization patterns. Don’t reset the learning phase constantly — let the algorithm learn over time, and focus on feeding it clean performance data.
What to stop, and what to start
Stop building old-school interest stacks, launching twenty micro-campaigns per product, and obsessing over lookalikes and exclusions. Start trusting the algorithm’s reach, feeding strong creative into broad targeting, and building a weekly creative testing cycle.
The real takeaway
Meta’s algorithm has real-time access to signals from browsing behavior, in-app actions, and device patterns across billions of users — it can’t really be outthought. But it can be out-executed, by feeding it high-quality creative, clean optimization signals, and simpler structures that actually let it learn.
Further reading
Meta’s guide to broad targeting is worth a look for the platform-specific mechanics.
Related reading on this blog: