Open Access. Powered by Scholars. Published by Universities.®
Social and Behavioral Sciences Commons™
Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 4 of 4
Full-Text Articles in Social and Behavioral Sciences
How Do Digital Advertising Auctions Impact Product Prices?, Alessandro Bonatti, Dirk Bergemann, Nicholas Wu
How Do Digital Advertising Auctions Impact Product Prices?, Alessandro Bonatti, Dirk Bergemann, Nicholas Wu
Cowles Foundation Discussion Papers
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 platform’s data advantage to improve match quality, with managed campaign mechanisms, where advertisers’ 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 …
How Do Digital Advertising Auctions Impact Product Prices?, Dirk Bergemann, Alessandro Bonatti, Nick Wu
How Do Digital Advertising Auctions Impact Product Prices?, Dirk Bergemann, Alessandro Bonatti, Nick Wu
Cowles Foundation Discussion Papers
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 platform’s data advantage to improve match quality, with managed campaign mechanisms, where advertisers’ 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 …
Managed Campaigns And Data-Augmented Auctions For Digital Advertising, Dirk Bergemann, Alessandro Bonatti, Nicholas Wu
Managed Campaigns And Data-Augmented Auctions For Digital Advertising, Dirk Bergemann, Alessandro Bonatti, Nicholas Wu
Cowles Foundation Discussion Papers
We develop an auction model for digital advertising. A monopoly platform has access to data on the value of the match between advertisers and consumers. The platform support bidding with additional information and increase the feasible surplus for on-platform matches. Advertisers jointly determine their pricing strategy both on and off the platform, as well as their bidding for digital advertising on the platform. We compare a data-augmented second-price auction and a managed campaign mechanism. In the data-augmented auction, the bids by the advertisers are informed by the data of the platform regarding the value of the match. This results in …
Data, Competition, And Digital Platforms, Dirk Bergemann, Alessandro Bonatti
Data, Competition, And Digital Platforms, Dirk Bergemann, Alessandro Bonatti
Cowles Foundation Discussion Papers
We analyze digital markets where a monopolist platform uses data to match multiproduct sellers with heterogeneous consumers who can purchase both on and o§ the platform. The platform sells targeted ads to sellers that recommend their products to consumers and reveals information to consumers about their values. The revenueoptimal mechanism is a managed advertising campaign that matches products and preferences e¢ ciently. In equilibrium, sellers o§er higher qualities at lower unit prices on than o§ the platform. Privacy-respecting data-governance rules such as organic search results or federated learning can lead to welfare gains for consumers.