Ad Platforms

What is Lookalike Audience?

A lookalike audience is a targeting tool that finds new users who share similar characteristics with your existing high-value users, enabling scaled prospecting.

Lookalike Audience: Full Definition

A lookalike audience is created by feeding a seed audience, typically your best existing users, highest-LTV customers, or completed-purchase customers, into a platform's audience modeling algorithm. The algorithm analyzes the characteristics of the seed audience and finds new users across its database who share similar behavioral and demographic profiles.

Meta's Lookalike Audiences are the most widely used: you provide a Custom Audience seed (e.g., top 1,000 payers from your MMP) and Meta builds a scaled audience of millions of similar users across Facebook and Instagram. Lookalike percentage controls size vs. similarity, 1% lookalike is the tightest match, 10% is the broadest.

Post-ATT, lookalike quality on iOS has degraded somewhat because the seed audiences have shrunk (fewer user-level signals available). Meta's Advantage+ Audiences increasingly supplement or replace manual lookalikes with AI-driven targeting that doesn't require explicit seed audience input.

Why Lookalike Audience matters

Lookalike audiences are the most efficient prospecting targeting tool in paid social. They provide the algorithmic equivalent of reaching millions of users who 'look like your best customers', combining the scale of broad targeting with the efficiency of interest-based targeting. For mobile apps with meaningful user data, lookalikes built from high-LTV or high-ROAS user segments consistently outperform interest-based and demographic targeting.

Frequently asked questions

High-value, behaviorally consistent users make the best seed audiences. Use your top 1–5% payers, highest-LTV users, or users who completed your most important in-app event. Larger seeds (1,000–5,000+) produce more accurate lookalikes than small seeds (100–200 users).

Related terms

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