How Do Digital Advertising Auctions Impact Product Prices?
Dirk Bergemann,
Alessandro Bonatti and
Nicholas Wu
Additional contact information
Nicholas Wu: Yale University
No 2367, Cowles Foundation Discussion Papers from Cowles Foundation for Research in Economics, Yale University
Abstract:
We ask how the advertising mechanisms of digital platforms impact product prices. We present a model that integrates three fundamental features of digital advertising markets: (i) advertisers can reach customers on and off-platform, (ii) additional data enhances the value of matching advertisers and consumers, and (iii) bidding follows auction-like mechanisms. We compare data-augmented auctions, which leverage the platformÕs data advantage to improve match quality, with managed campaign mechanisms, where advertisersÕ budgets are transformed into personalized matches and prices through auto-bidding algorithms. In data-augmented second-price auctions, advertisers increase off- platform product prices to boost their competitiveness on-platform. This leads to socially efficient allocations on-platform, but inefficient allocations off-platform due to high product prices. The platform-optimal mechanism is a sophisticated managed campaign that conditions on-platform prices for sponsored products on off-platform prices set by all advertisers. Relative to auctions, the optimal managed campaign raises off-platform product prices and further reduces consumer surplus.
Pages: 46 pages
Date: 2023-07
New Economics Papers: this item is included in nep-com, nep-mic, nep-pay and nep-reg
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https://cowles.yale.edu/sites/default/files/2024-02/d2367_0.pdf (application/pdf)
Related works:
Working Paper: How Do Digital Advertising Auctions Impact Product Prices? (2024) 
Working Paper: How Do Digital Advertising Auctions Impact Product Prices? (2023) 
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