Lookalike Audiences
TargetingDefinition
Lookalike audiences are platform-generated audiences that share characteristics with your existing customers. You provide a source audience and the platform finds new users who resemble them based on behavioral and demographic signals.
Meta pioneered lookalikes and they remain one of the most effective prospecting tools. You select a source audience and percentage size (1% = most similar, 10% = broader reach). Meta analyzes hundreds of signals to find matching users.
The quality of your lookalike depends entirely on the source audience. A lookalike built from your top 500 customers who spent €1.000+ outperforms one built from all website visitors.
Upload a customer list or select an event-based audience (purchasers, leads) as your source. Choose a percentage or let the platform optimize. Use lookalikes as targeting in prospecting campaigns. Test multiple source audiences.
Lookalike audiences solve the cold audience problem. Instead of guessing which interests or demographics match your ideal customer, you let the platform find users statistically similar to people who already buy from you.
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Frequently Asked Questions
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Start with 1% for highest quality. Test 1%, 3%, and 5%. In smaller countries, 3-5% may be needed for sufficient audience size.
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Meta requires 100 minimum in a single country. For best results, 1,000-5,000 high-quality source users. Quality beats quantity.
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They are less effective due to reduced signal data. Mitigate by using larger source audiences, uploading customer lists directly, and using the Conversions API.
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We build high-quality lookalike audiences from your first-party data for efficient prospecting.