How do humans and machines work as an effective team when running Google App campaigns?
Machines can provide very detailed reporting, while humans handle the majority of optimization tasks.
Humans can verify creative assets made by machines, saving time in the process.
Humans can monitor reports exclusively, while letting machine learning handle everything else.
Humans and machines have complementary skill sets.
Correct Answer
Humans and machines have complementary skill sets.
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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.
Exam guide and all 181 Google Ads Apps questions →Related Google Ads Apps questions
- 1Paul asks his team to enable and report on view-through conversions in their client Google App campaigns. Why are view-through conversions important to include?
- 2You’ve read a lot about Google App campaigns and you’re excited to get your own campaign up and running. What should you do first before you set up your campaign in the Google Ads interface?
- 3You 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?
- 4Vivian has been put in charge of a few clients who are interested in running Google App campaigns. Some campaigns will use target cost per action (tCPA), while others use target cost per install (tCPI). Which two statements are correct when it comes to setting daily budgets within App campaigns? (Choose two)Multiple correct
- 5Aaron observes and adjusts bids often in his Google Ad campaigns. He recently learned that for an automated campaign, it’s best to wait until the campaign accumulates a certain number of conversions before making any bid changes. For a Google App campaign, Aaron should wait to apply any bid changes until at least how many conversions have accumulated?
- 6In Google App campaigns, machine learning does the heavy lifting — deciding which user sees which ad, at what time, on which platform. But this doesn’t mean your role is passive. To pass the Google Ads Apps Certification and run high-performing campaigns, you must understand what Google automates , what you still control, and how to feed the system with the right inputs . This article explains how machine learning powers App campaigns and how to structure your campaigns for success — and certification. Google’s machine learning models automatically: This process is called auction-time optimization , and it happens for each individual ad impression . Without conversion tracking: