A Meta lookalike audience is designed to help an advertiser reach people who share characteristics with a selected source audience. The source might be customers, website visitors, app users, or people who engaged with the business, subject to current eligibility, privacy, and platform requirements.
What makes a useful lookalike source?
Use a source connected to the business goal. A smaller group of verified purchasers or qualified customers may provide a more meaningful signal than a large list of low-intent visitors. Keep source data accurate, lawfully collected, and current, and never upload information without the required rights and notices.
How is a lookalike different from retargeting?
Retargeting generally reaches people who already interacted with the business, while a lookalike is intended for prospecting beyond the original source. Keep appropriate exclusions so existing customers or recent leads are not unintentionally treated as new prospects when that conflicts with the campaign goal.
Should targeting be broad or narrow?
The best setup depends on geography, budget, conversion volume, offer, and current Meta controls. A narrowly defined audience may limit delivery, while a broader audience gives the system more opportunities but less manual restriction. Test against a clear comparison and judge qualified outcomes rather than audience size alone.
How should lookalike performance be measured?
Verify the conversion event, attribution settings, landing page, and CRM follow-up before launch. Compare cost per qualified lead, purchase value, acquisition cost, and customer quality. Platform delivery and audience tools change, so confirm current availability and naming in Ads Manager before relying on an older tutorial.
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Disclaimer: This article provides general information only. Meta features, eligibility, privacy requirements, delivery, attribution, and results can change; no advertising outcome is guaranteed.