Meta AdsLookalike AudienceMeta AdsAudience Targeting

What is a Lookalike Audience on Meta?

Direct Answer

A Lookalike Audience is a Meta Ads targeting feature that finds new people who share characteristics with your best existing customers. It is typically the highest-performing prospecting targeting option available.

Key Takeaways

  • Build source Custom Audiences: purchasers, leads, high-LTV customers
  • Ensure source audience has 1,000+ users for best Lookalike quality
  • Create Lookalike Audiences at 1%, 2%, and 5% from each source
  • Create separate ad sets for each Lookalike percentage
  • Exclude existing customers from Lookalike ad sets

Lookalike Audiences are one of Meta's most powerful advertising features. Instead of manually targeting interests and demographics, you show Meta a sample of your best customers and say "find more people like these." Meta's algorithm analyzes hundreds of behavioral signals to find matching audiences at scale.

How Lookalike Audiences Work

You provide a source audience (Custom Audience) — typically past purchasers or leads. Meta analyzes the common characteristics of that source audience (interests, behaviors, demographics, device usage, content engagement) and finds users who match those patterns across its 3 billion+ user base.

Source Audience Requirements

Minimum 100 people in the same country. For best results: 1,000–50,000 quality users. Source quality matters more than size — a Lookalike of 500 actual purchasers outperforms a Lookalike of 10,000 unqualified leads.

Lookalike Percentage (1%–10%)

1% Lookalike = most similar to source (smallest, most targeted). 10% Lookalike = broadest similarity match (largest, least targeted). Start with 1–2% for highest quality. Scale to 3–5% when 1% audience is exhausted.

Best Lookalike Source Audiences

Purchase converters (best), high-value customers (LTV segmented), lead form completers, video viewers (25%+ of video watched), website visitors who reached checkout, and engaged social media followers (lower quality but scalable).

Stacking Lookalike Audiences

Create multiple Lookalike Audiences from different sources and stack them in one ad set. A 1% purchase Lookalike + 1% high-LTV Lookalike combined gives Meta broader signal data while maintaining quality targeting.

Lookalike Audience Refresh

Source audiences should be refreshed regularly — at least monthly. Customer behavior and Meta's user base evolve. Stale Lookalikes from year-old data can underperform compared to Lookalikes built on recent converters.

Step-by-Step Action Plan

  1. 1Build source Custom Audiences: purchasers, leads, high-LTV customers
  2. 2Ensure source audience has 1,000+ users for best Lookalike quality
  3. 3Create Lookalike Audiences at 1%, 2%, and 5% from each source
  4. 4Create separate ad sets for each Lookalike percentage
  5. 5Exclude existing customers from Lookalike ad sets
  6. 6Test 1% vs 2% vs 5% Lookalikes with A/B test over 2 weeks
  7. 7Refresh source audiences monthly and regenerate Lookalikes

Frequently Asked Questions

Frequently Asked Questions

They are less precise than pre-2021 but still effective. The iOS 14 update reduced the volume of behavioral data Meta can collect from iPhone users. Lookalikes now use more first-party data signals and meta.com behavioral data, with slightly reduced accuracy for iOS-heavy demographics.

Related Service

Meta Ads Management

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