(1) Auction-time bidding – Algorithmically helps set the appropriate bid for each and every auction
(2) Depth of signals used and cross analysis – Integrates a large variety of signals and considers new ones to evaluate user intent
(3) Machine learning – Alleviates the strain on marketing resources by automating more manual tasks
(4) Time saved – Tailors bids to each user’s unique context, using relevant signals present at auction time
This question is a part of the Google Ads Display Certification Assessment exam and Google Ads Search Certification Assessment exam. You can find all the answers for both exams in our Google Ads Display Certification Assessment Answers page, and Google Ads Search Certification Assessment Answers page.