Efficiency of Ad Auctions with Price Displaying
Matteo Castiglioni, Diodato Ferraioli, Nicola Gatti, Alberto Marchesi,, Giulia Romano

TL;DR
This paper investigates ad auction efficiency when ads are displayed with prices, proposing mechanisms for optimal allocation and pricing, and analyzing how decoupling allocation from pricing affects social welfare and revenue.
Contribution
It introduces a polynomial-time mechanism for joint ad allocation and pricing, and analyzes the impact of decoupled mechanisms on efficiency metrics like PoA and PoS.
Findings
Social welfare maximization is achievable via a joint optimization mechanism.
Decoupled mechanisms can have unbounded Price of Stability for revenue.
Simple modifications can improve PoS to 1 under certain conditions.
Abstract
Most of the economic reports forecast that almost half of the worldwide market value unlocked by AI over the next decade (up to 6 trillion USD per year) will be in marketing&sales. In particular, AI will enable the optimization of more and more intricate economic settings, in which multiple different activities need to be jointly automated. This is the case of, e.g., Google Hotel Ads and Tripadvisor, where auctions are used to display ads of similar products or services together with their prices. As in classical ad auctions, the ads are ranked depending on the advertisers' bids, whereas, differently from classical settings, ads are displayed together with their prices, so as to provide a direct comparison among them. This dramatically affects users' behavior, as well as the properties of ad auctions. We show that, in such settings, social welfare maximization can be achieved by means…
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Taxonomy
TopicsAuction Theory and Applications · Consumer Market Behavior and Pricing · Experimental Behavioral Economics Studies
