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Audiences & targeting

What is Lookalike audience?

A lookalike audience is a Meta targeting option that finds new people who resemble an existing source audience — such as your customers or website visitors — based on shared traits Meta identifies. It's how you reach fresh prospects who behave like the people you already value.

Example

Upload a list of 2,000 buyers as the source and create a 1% lookalike in your country: Meta finds the ~1% of that country's users most similar to your buyers. A 1% lookalike is the closest match; widening to 5% or 10% adds reach but dilutes similarity.

Why it matters

Lookalikes let you scale beyond warm audiences while starting from better-than-random targeting, which is why they've long been a core prospecting tool. The quality of the source matters most — a lookalike of your highest-value buyers beats a lookalike of all traffic.

How to use and improve it

Seed from your best data (purchasers, high-LTV customers, not just page visitors), keep the source above ~100 people from one country though 1,000+ quality examples work far better, and test a tight 1% against a broader 3–5% to see which your funnel prefers.

Frequently asked questions

How many people do I need in the source audience?

Meta requires at least 100 people from a single country, but a few thousand high-quality examples produce a much stronger lookalike. Source quality beats source size.

What's the difference between a 1% and a 10% lookalike?

A 1% lookalike is the slice of the population most similar to your source — smaller and more precise. A 10% lookalike is much larger but less similar, trading precision for reach.

Do lookalike audiences still work with Advantage+?

Yes, though Meta increasingly favours broad targeting where its AI finds the audience. Many advertisers now feed lookalikes in as a signal rather than a hard boundary, or lean on Advantage+ automation instead.

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