Lookalike Audience
A targeting option that finds users similar to your existing customers based on shared characteristics and behaviors.
What is a Lookalike Audience?
A lookalike audience is a targeting method used in digital advertising that identifies and targets new potential customers who share similar characteristics, behaviors, and interests with your existing customer base. Platforms use machine learning algorithms to analyze your source audience and find users with comparable profiles.
How Lookalike Audiences Work
Platforms analyze demographics, interests, behaviors, and engagement patterns of your source audience.
Machine learning algorithms identify common characteristics and find similar users in the broader population.
A new audience segment is created containing users who match the identified patterns and characteristics.
The algorithm continuously refines the audience based on performance data and new customer information.
Benefits for SaaS Marketing
Efficient Customer Acquisition
Target users who are more likely to convert based on similarity to your existing customers.
Scalable Growth
Expand your reach beyond your current network while maintaining targeting precision.
Improved ROI
Higher conversion rates and lower acquisition costs compared to broad targeting approaches.
Lookalike Audience Best Practices
- Use high-quality source audiences with at least 100-1000 customers
- Create separate lookalikes for different customer segments or value tiers
- Test different audience sizes (1%, 5%, 10%) to find optimal performance
- Regularly update source audiences with fresh customer data
- Combine with other targeting methods for enhanced precision
Ready to Find Your Ideal Customers?
Let our team help you create and optimize lookalike audiences for your SaaS marketing campaigns.