You work for an agency and your client wants to know how machine learning works in Google App campaigns. How does machine learning benefit both marketers and users?

By delivering ads to as many users as possible in one location.

By delivering a relevant ad to the right user at the right time.

By delivering relevant ads to users only on YouTube.

By delivering a unique ad to every individual user.


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

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Explanation: You work for an agency and your client wants to know how machine learning works in Google App campaigns. How does machine learning benefit both marketers and users?


Explanation: Machine learning benefits both marketers and users in Google App campaigns by **delivering a relevant ad to the right user at the right time**. This process involves analyzing a vast array of data points, such as user behavior, demographics, context, and historical performance, to predict which ads are most likely to resonate with individual users. For marketers, this means more efficient ad targeting and higher chances of conversion as their ads are shown to users who are most likely to be interested in their app or offerings. This targeted approach improves the overall effectiveness of the campaign and maximizes the return on investment. For users, machine learning ensures that they are presented with ads that are tailored to their interests and preferences, enhancing their overall browsing experience by reducing irrelevant advertising clutter. As a result, users are more likely to engage with ads that are personally relevant to them, leading to a win-win situation for both marketers and users in Google App campaigns.
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