(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. You can find all the answers for this exam in our Google Ads Display Certification Assessment Answers page.