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Audiences & Targeting
3 min read
Lookalike audiences are new prospects a platform finds by identifying people who resemble a source group you supply — usually your best customers. They are how advertisers scale beyond their own lists, letting the platform’s data find more of who already works.
Provide a seed. A source list of your strongest customers.
Model the traits. The platform learns what those people share.
Find the matches. It surfaces similar users across its base.
Target and refine. You reach them and feed back what converts.
Quality over size. High-value customers beat a big generic list.
Recency. Fresh data reflects who converts now.
Homogeneity. A focused seed models a clearer pattern.
Enough volume. The seed must be large enough to model.
Scale. It grows reach beyond your own lists.
Quality prospects. New people resemble proven customers.
Efficiency. It leans on the platform’s rich data to prospect.
Seed dependency. A weak seed produces weak lookalikes.
Diminishing similarity. Broader lookalikes resemble the seed less.
Privacy shifts. Signal loss changes how well modelling works.
Overlap. Lookalikes can collide with existing audiences.
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