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  3. Lookalike Audiences
Meta Ads Manager

Lookalike Audiences

Master Meta Lookalike Audiences to find new customers similar to your best existing ones. Learn how to create optimize and scale lookalike targeting strategies.

Last updated: July 18, 2025Official Documentation

What are Lookalike Audiences?

Lookalike Audiences use Meta's machine learning algorithms to find new people who are similar to your existing customers or website visitors. By analyzing the characteristics and behaviors of your source audience Meta identifies potential customers who share similar traits and are likely to be interested in your products or services.

How Lookalike Audiences Work:

Meta analyzes your source audience data to identify common characteristics including:

  • Demographic information like age location and interests
  • Behavioral patterns and online activities
  • Purchase history and spending patterns
  • Device usage and app preferences

Source Audience Options:

  • Customer lists - Use your best customers as the foundation
  • Website visitors - Target people similar to your site traffic
  • App users - Find users similar to your mobile app audience
  • Engagement audiences - Target people similar to those who engage with your content

Audience Size Selection:

Choose your lookalike percentage (1-10%) based on your goals:

  • 1% audiences are most similar but smaller
  • 10% audiences are larger but less precise
  • Test different percentages to find optimal balance

Best Practices for Lookalike Success:

  • Use high-quality source audiences with at least 100-1000 people
  • Refresh source data regularly as your customer base evolves
  • Test multiple source audiences and percentages
  • Combine with other targeting criteria for precision

How Aimerce Enhances Lookalike Audiences

Amplify Lookalike Audiences with Aimerce's Data Intelligence

Aimerce enhances your Lookalike Audiences with superior data quality and advanced segmentation that creates more accurate and effective audience targeting.

Aimerce's Lookalike Enhancements:

  • Enriched source data - Higher quality input data creates more accurate lookalikes
  • Value-based modeling - Create lookalikes based on customer lifetime value not just conversions
  • Behavioral signals - Include engagement patterns and purchase intent in audience modeling
  • Extended data collection - Use 12+ months of customer data vs limited cookie windows
  • Multi-source lookalikes - Combine website email and offline data for comprehensive modeling

Businesses using Aimerce-powered Lookalike Audiences typically see 35-50% better performance with higher conversion rates and lower acquisition costs compared to standard implementations.

Improve Your Meta Ads Manager with Aimerce

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Learn More About Aimerce

Ready to Enhance Your Lookalike Audiences with Aimerce?

Get 10-40% more conversion data and better ad performance with server-side tracking that bypasses ad blockers and iOS limitations.

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