Capacity constraints and the inevitability of mediators in adword auctions
Sudhir Kumar Singh, Vwani P. Roychowdhury, Himawan Gunadhi, Behnam A., Rezaei

TL;DR
This paper analyzes how capacity constraints in ad auctions lead to the emergence of mediators, showing that their involvement can increase revenues, efficiency, and bidder payoffs in sponsored search markets.
Contribution
It introduces a model with for-profit mediators providing additional ad capacity and analyzes their impact on revenues and efficiency at symmetric Nash equilibrium.
Findings
Mediators increase auction revenues and social efficiency.
High-quality mediators improve bidder payoffs.
Capacity constraints foster diversification and new market mechanisms.
Abstract
One natural constraint in the sponsored search advertising framework arises from the fact that there is a limit on the number of available slots, especially for the popular keywords, and as a result, a significant pool of advertisers are left out. We study the emergence of diversification in the adword market triggered by such capacity constraints in the sense that new market mechanisms, as well as, new for-profit agents are likely to emerge to combat or to make profit from the opportunities created by shortages in ad-space inventory. We propose a model where the additional capacity is provided by for-profit agents (or, mediators), who compete for slots in the original auction, draw traffic, and run their own sub-auctions. The quality of the additional capacity provided by a mediator is measured by its {\it fitness} factor. We compute revenues and payoffs for all the different parties…
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Taxonomy
TopicsConsumer Market Behavior and Pricing · Auction Theory and Applications · Digital Platforms and Economics
