In this episode of Facebook Ads with Fexingo, Lucas and Luna dive into the mechanics of custom audiences—the foundation of Meta's targeting. They explore how a simple seed—a customer list, a pixel, or even a video view—becomes a tailored audience for your ads. Using the example of a fictional coffee subscription brand, they break down the process: from hashing emails for privacy to Meta's machine learning that finds patterns in behavior. They also discuss the pitfalls: why small lists lead to thin audiences, how to avoid overlap with lookalike audiences, and why quality of data beats quantity. The hosts share practical tips on refining custom audiences with exclusions and layering, and they touch on Meta's recent updates to audience controls. Whether you're a marketer or just curious about how ads follow you, this episode offers a clear, behind-the-scenes look at one of Meta's most powerful yet misunderstood tools.
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