Machine learning automates much of a Google App campaign once it’s live. What’s one reason marketers should still be involved in the campaign after it’s launched?
The marketer will need to look for and resolve any campaign issues found within the notifications section of the account.
An App campaign will request human input via questionnaires from time to time, to help steer its marketing objectives.
The marketer will still need to review search term and segmentation reports, to make appropriate manual adjustments.
The strategy behind an App campaign will likely shift over time, meaning boundaries need to be set accordingly.
Correct Answer
The strategy behind an App campaign will likely shift over time, meaning boundaries need to be set accordingly.
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About the Google Ads Apps Certification
The Google Ads Apps Certification covers App campaigns, which use your assets and bidding goal to promote an app across Search, Google Play, YouTube and the Display Network.
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- 2Janelle is running a Google App campaign and knows that although it’s powered by machine learning, her inputs as a marketer still matter a lot. In which three ways can Janelle best guide the machine towards a successful outcome? (Choose three)Multiple correct
- 3Tina’s an experienced account manager who enjoys overseeing the details of her Google Ads campaigns. She struggles with leaving the majority of campaign management to machine learning in App campaigns. What’s a valid reason for Tina to rely on machine learning instead of doing everything manually?
- 4How does machine learning in Google App campaigns benefit both marketers and users?
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