How does DV360 build lookalike audiences?

DV360 uses machine learning algorithms to create lookalike audiences:

1. Start with a seed audience (e.g., existing customers)

2. Analyze characteristics and behaviors of the seed audience

3. Identify similar users across the DV360 network

4. Create a new audience of users who share key attributes with the original group

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What is optimized targeting on DV360?

Optimized targeting in DV360 uses machine learning to automatically expand audience reach. It analyzes campaign performance data to find new, relevant users who are likely to convert, even if they don't match the original targeting criteria.

 

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