Question: Simon's been in the marketing industry for a few years. He's learning about the ways machine learning can help both him as a marketer and his target users. How will machine learning change his core responsibilities?
- It allows for more time to focus on strategy and creating customer experiences.
- It's an efficient way to learn what account structures are being used by similar businesses.
- It's an automated solution to communicate with clients using faster response times.
- It's a practical way to automatically convert client briefs into fully functional account structures.
Explanation
Machine learning handles high-volume optimization tasks that are difficult to manage manually. In App campaigns, automation supports bidding, placement selection, and asset combination decisions based on performance signals. This shifts human responsibility toward strategy, objectives, creative direction, and customer experience. The marketer’s role remains important because automation needs clear goals, quality inputs, and meaningful measurement.
Why the other options are incorrect
Similar businesses Machine learning in App campaigns is not used to reveal competitors’ account structures.
Client briefs Google Ads automation does not turn briefs into complete account structures automatically.
Client communication Machine learning in App campaigns is focused on campaign optimization, not client response management.
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.