How does optimized targeting find new, high-performing audiences?

It uses algorithms that collect data from the landing page of the client to find keywords that improve the quality score of the bid.

It changes some of the campaign settings like geo and language to offer a wider targeting for the audience.

It uses Customer Match audiences from other accounts in the same category of the client, leveraging that information to find new users.

It builds off of existing targeting inputs, including the client's first-party data, while being powered by privacy-forward machine learning models.


Choose an option to see if it’s correct. Check the explanation below. Learn Smarter, not Harder.

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Explanation: How does optimized targeting find new, high-performing audiences?


Explanation: The selected answer is correct because optimized targeting builds off existing targeting inputs, including the client's first-party data, and is powered by privacy-forward machine learning models. This approach allows the system to identify new, high-performing audiences by analyzing patterns and behaviors from the client's own data while respecting user privacy. By using machine learning to process this data, optimized targeting can reach individuals who are likely to engage with the client's offerings, expanding the potential audience and improving campaign performance in a privacy-conscious manner.
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