1. Auction-time bidding
2. Depth of signals used and cross analysis
3. Machine learning
4. Time saved
Tailors bids to each user’s unique context, using relevant signals present at auction time (1)
Alleviates the strain on marketing resources by automating more manual tasks (4)
Integrates a large variety of signals and considers new ones to evaluate user intent (2)
Algorithmically helps set the appropriate bid for each and every auction (3)
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