- 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.
- 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.
Charlie is working to improve the quality score of a Google Search ad by improving his expected click-through rate (eCTR). Which of the following actions might improve Charlie’s eCTR?
Including keywords in his ad text Decreasing the bid for the ad Improving the speed of his website Cloning the ad multiple times Download Google Ads Display Certification Exam Answers (PDF)
Julie wants to show potential customers products they previously viewed on her website. What does Julie need in place to create dynamically generated display ads within a Dynamic Remarketing campaign?
A Google My Business account A list of relevant placements A pre-uploaded feed A gallery of product images Download Google Ads Display Certification Exam Answers (PDF)
Create alternative versions of best performing ad variations Apply specific bid adjustments to device and location targeting Add a themed group of negative keywords Set a specific target CPA (cost-per-acquisition) Download Google Ads Display Certification Exam Answers (PDF)