Lookalike audience
A lookalike audience targets new users who resemble an existing source list, typically your customers or your high-LTV cohort.
What does Lookalike audience actually mean?
A lookalike audience (LAL) is generated by an ad platform (Meta, Google, TikTok) to find users who behaviorally resemble a source audience you provide. The source is typically a customer list (CSV upload), pixel-detected purchasers, or a high-LTV segment.
Lookalikes are sized by similarity percentage. A 1% lookalike on Meta is the most similar 1% of users in your target market: narrowest, but highest-intent. A 10% lookalike is broader, less similar but with more reach. Most performance teams test 1%, 3% and 5% lookalikes against their best customer lists.
In 2026 platforms have de-emphasized lookalikes in favor of automated audience expansion (Advantage+ Audience, Smart+ Targeting). The mechanics are similar (find users behaviorally similar to converters), but the platform handles audience construction automatically rather than via your seeded list.
Example
A DTC brand uploads a list of customers with LTV > $200 (their top 10%). Meta builds a 1% lookalike audience targeting US users behaviorally similar to that high-LTV cohort.
When it matters
Lookalikes are the strongest cold-traffic targeting most platforms expose. High-LTV source lists outperform broad customer lists; quality of source matters more than size.
Related terms
Custom audience
A custom audience is a list of known users (emails, phone numbers, pixel events, or video viewers) used for retargeting or seeding lookalikes.
Retargeting
Retargeting serves ads to users who have already interacted with your brand: visited the site, watched a video, or added to cart.
Advantage+
Advantage+ is Meta's AI-driven campaign suite (Shopping, App and Sales) that automates audience, placement and budget decisions.
LTV
LTV is the total revenue or profit a single customer generates over their entire relationship with the business.
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