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