Lookalike Audience
A targeting audience created by platforms that matches characteristics of an advertiser's existing customers to find similar potential customers.
What Lookalike Audience means
Lookalike audiences (called Similar Audiences on some platforms, or Advantage+ Lookalike on Meta) use platform algorithms to identify users who share characteristics with a source audience — typically existing customers, website visitors, or engaged users. The platform analyzes the source audience's demographics, interests, and behaviors, then finds similar users who aren't yet customers. Privacy compliance considerations include ensuring the source audience data was collected with proper consent, understanding that lookalike modeling involves indirect profiling, and recognizing that Special Ad Category restrictions limit lookalike audience use for housing, employment, and credit campaigns. Google deprecated its similar audiences feature in 2023 in favor of optimized targeting. The effectiveness of lookalike audiences has been affected by privacy changes like Apple's ATT framework.
Related terms
Custom Audience
An audience segment created from an advertiser's own customer data (email lists, website visitors, app users) for targeted advertising.
Audience Targeting
The process of defining which users will see an ad based on demographics, interests, behaviors, and other criteria.
First-Party Data
Data collected directly by an organization from its own customers and users through direct interactions.
Special Ad Categories
Platform-designated ad categories (housing, employment, credit, politics) with restricted targeting to prevent discrimination.