How Do Responsive Display Ads Use Automation?

Responsive Display Ads use a machine-learning model to determine optimal assets for each ad slot using predictions based on an advertiser’s performance history. This is how Responsive Display Ads Use Automation.

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  • Responsive Display Ads leverage powerful machine-learning models to generate reports customized to meet the specific requirements of each campaign.
  • Responsive Display Ads automate ad creation for most apps, but not desktop and mobile devices.
  • Responsive Display Ads use a machine-learning model to create an advertiser’s assets, using assets that have performed well in the past.
  • Responsive Display Ads use a machine-learning model to determine optimal assets for each ad slot using predictions based on an advertiser’s performance history.

Correct answer is: Responsive Display Ads use a machine-learning model to determine optimal assets for each ad slot using predictions based on an advertiser’s performance history.

When you create a Responsive Display Ad by uploading different assets into Google Ads, Google uses a machine learning model to determine the optimal combination of assets for each ad slot based on predictions built from your performance history.

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