In this episode of Facebook Ads with Fexingo, Lucas and Luna explore Meta's predictive audience targeting, a feature that uses machine learning to identify users likely to take a specific action—like making a purchase—before they even see your ad. They break down how it differs from classic interest-based or lookalike audiences, using a real-world example of a DTC skincare brand that saw a 23 percent lower cost per acquisition by switching to predictive targeting. The hosts discuss what data Meta uses, the trade-offs with data privacy, and how small advertisers can test it without blowing their budget. If you've ever wondered whether Meta really can predict your next customer, this episode gives you the concrete mechanics and practical steps to try it yourself.
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