Home » Google Ads Apps Certification » Sally’s historically spent a lot of time in Google Ads making small changes to her campaigns, instead of focusing on higher level marketing strategy. What are two ways machine learning helps reduce the time she’ll spend in her Google App campaign? (Choose two.) Select All Correct Responses

Sally’s historically spent a lot of time in Google Ads making small changes to her campaigns, instead of focusing on higher level marketing strategy. What are two ways machine learning helps reduce the time she’ll spend in her Google App campaign? (Choose two.) Select All Correct Responses

The two ways machine learning can helps reduce the time sally spend in her Google App campaign are Machine learning can analyze many signals to determine the right audience for her ad and Machine learning can create combinations of assets to deliver a relevant ad to the right user.


  • Machine learning can apply industry insights to optimize campaigns.
  • Machine learning can review competitor performance to optimize campaigns.
  • Machine learning can analyze many signals to determine the right audience for her ad.
  • Machine learning can create combinations of assets to deliver a relevant ad to the right user.

The correct answers are: Machine learning can analyze many signals to determine the right audience for her ad and Machine learning can create combinations of assets to deliver a relevant ad to the right user.

Machine learning can help your App campaign reach users efficiently with relevant ads. But in order to do that, it needs a collection of diverse, high-quality assets. Using machine learning today, we can deliver relevant ads to users based on more inputs than ever before. In addition to traditional signals like age and gender, we can now include signals like app session duration, app settings, search queries, and location.

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