Lookalike Audience is a new audience an ad platform builds to resemble your existing customers — it analyses a source list (your best customers) and finds other people who share their traits.
You give a platform a ‘seed’ audience — say your highest-value customers or converters — and it finds new people who look similar across the signals it holds. It’s a way to scale prospecting beyond people who already know you, grounded in who actually buys.
Upload or define a source audience (ideally built from first-party data like customers or high-LTV buyers), and the platform models the shared characteristics, then builds a larger audience resembling them. Quality of the seed decides quality of the lookalike — garbage in, garbage out.
Seed with your best customers, not all leads, so you prospect toward high value. Lookalikes pair well with retargeting (new reach + warm follow-up) and with strong creative. As third-party signals shrink, first-party-seeded lookalikes become more important.
A new audience an ad platform builds to resemble your existing customers. You provide a source list of your best customers, and the platform finds other people who share their characteristics, letting you scale prospecting toward likely buyers.
Seed it with your best customers — high-value or high-converting ones built from first-party data — not just any leads. The platform models that seed, so its quality determines the lookalike's quality: better seed, better audience.
Yes, and arguably more important as third-party tracking shrinks. Lookalikes seeded from strong first-party data let platforms find similar high-value prospects, and they pair well with retargeting and good creative.
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