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How Do Digital Advertising Auctions Impact Product Prices?
被引:1
|作者:
Bergemann, Dirk
[1
]
Bonatti, Alessandro
[2
]
Wu, Nicholas
[1
]
机构:
[1] Yale Univ, Dept Econ, New Haven, CT 06520 USA
[2] MIT, Sloan Sch Management, Cambridge, MA USA
来源:
关键词:
Data;
Advertising;
Competition;
Digital platforms;
Auctions;
Automated bidding;
Managed advertising campaigns;
Matching;
Price discrimination;
MARKET;
D O I:
10.1093/restud/rdae087
中图分类号:
F [经济];
学科分类号:
02 ;
摘要:
We present a model of digital advertising with three key features: (1) advertisers can reach consumers on and off a platform, (2) additional data enhances the value of advertiser-consumer matches, and (3) the allocation of advertisements follows an auction-like mechanism. We contrast data-augmented auctions, which leverage the platform's data advantage to improve match quality, with managed-campaign mechanisms that automate match formation and price-setting. The platform-optimal mechanism is a managed campaign that conditions the on-platform prices for sponsored products on the off-platform prices set by all advertisers. This mechanism yields the efficient on-platform allocation but inefficiently high off-platform product prices. It attains the vertical integration profit for the platform and the advertisers, and it increases off-platform product prices while decreasing consumer surplus, relative to data-augmented auctions.
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页数:29
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