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

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