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.
- 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.
The 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.
- Learn more here: https://skillshop.exceedlms.com/student/path/18061-google-ads-display-certification
- Fourth chapter: Deliver the Right Message on Google Display Ads
- Sub-Chapter: Responsive Display Ads