Meta’s audience targeting uses data from user behavior, demographics, and interests to show ads to people most likely to respond. Campaigns can define audiences based on age, location, gender, education, interests, and online behaviors, or use customer data to build lookalike audiences that extend reach to new people who share characteristics with existing customers.
Behavioral targeting reaches people based on how they interact with Meta’s platforms and content across the web. Interest targeting uses the topics, pages, and content users engage with to infer what they care about. Custom audiences built from website visitors (via the Meta pixel), video viewers, or email lists allow for precise retargeting of people who have already interacted with the business in some way.
The most sophisticated Meta targeting combines multiple layers: a defined demographic range, interest qualifiers, and behavioral exclusions that eliminate irrelevant audiences. For many businesses, lookalike audiences built from a high-quality seed, existing customers or high-value leads, outperform broad interest-based targeting because they allow the platform’s algorithm to find new prospects that resemble those who have already converted.
