Question: 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 a unique ad to every individual user.
- By delivering a relevant ad to the right user at the right time.
- By delivering ads to as many users as possible in one location.
- By delivering relevant ads to users only on YouTube.
Explanation
Machine learning helps App campaigns evaluate signals such as user context, placement, and likelihood to convert. Google Ads automation uses those signals to decide when and where an app ad is most relevant. This benefits advertisers by improving delivery toward the selected app goal. It benefits users by showing ads that are more likely to match their intent and context.
Why the other options are incorrect
One location App campaigns are not designed to maximize reach only within a single location.
YouTube App campaigns can serve across multiple Google properties, not only YouTube.
Unique ad Automation combines assets into relevant ad variations, but it does not guarantee a completely unique ad for every user.
Source for verification
https://support.google.com/google-ads/answer/6247380?hl=en
https://support.google.com/google-ads/answer/7065882?hl=en
The answer(s) to the question is highlighted in the BOLD text above. You can also find more questions and answers related to the exams on the "Google Ads Apps Assessment" page.