What is a lookalike audience?
A lookalike audience is built by an ad platform from a source you provide, your customers, your best buyers, your engaged visitors, and expanded to new people who statistically resemble them. You show the machine who is valuable; it finds more of them.
Why it matters
Prospecting is guessing at scale, and lookalikes replace part of the guess with evidence: the shared behaviours of people who already chose you. Built on strong sources, they remain one of the most reliable bridges between your first party data and new customer growth.
What makes them work
- Source quality first: a lookalike of your best customers beats a lookalike of everyone who ever clicked. Garbage in, garbage multiplied.
- Value signals: seed with purchase value, not just presence, so the model learns what a good customer looks like, not just any customer.
- Freshness: sources age; refresh them as the customer base evolves.
The current reality
Platform automation has absorbed much of what manual lookalikes used to do: broad targeting fed with good conversion signals often matches them. They still earn their place as structure for testing, as guardrails in smaller accounts, and wherever your first party data is genuinely distinctive. Test them against broad, and let results decide.
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