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 (4)
• Alleviates the strain on marketing resources by automating more manual tasks (3)
• 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 (1)
