两全其美的广告合约:保证分配与价格兼具程序化效率

Best of Both Worlds Ad Contracts: Guaranteed Allocation and Price with Programmatic Efficiency

Management Science · 2022
被引 3
人大 A+FT50UTD24ABS 4*

中文导读

针对实时竞价广告中的分配和价格不确定性,设计了一种市场做市商合约,在保留拍卖效率的同时提供保证,分析了风险厌恶对保证需求的影响及定价,并证明该合约能同时提升卖方收入和买方效用总和。

Abstract

Buying display ad impressions via real-time auctions comes with significant allocation and price uncertainties. We design and analyze a contract that mitigates this uncertainty risk by providing guaranteed allocation and prices while maintaining the efficiency of buying in an auction. We study how risk aversion affects the desire for guarantees and how to price a guaranteed allocation. We propose to augment the traditional auction with a programmatic purchase option (which we call a Market-Maker contract) that removes allocation and price uncertainties. Instead of participating in the auction, advertisers can secure impressions in advance at a fixed premium price offered by the Market-Maker. It is then the responsibility of the Market-Maker to procure these impressions by bidding in the auction. We model buyers as risk-averse agents and analyze the equilibrium outcome when buyers face two purchase options (auction and Market-Maker contract). We derive analytical expressions for the Market-Maker price that reveal insightful relationships with uncertainties in the auction price and buyers’ risk levels. We also show the existence of a Market-Maker price that simultaneously improves the seller’s revenue and the sum of buyers’ utilities. As a building block to our analysis, we establish the truthfulness of the multiunit auction when buyers have nonquasilinear utilities because of risk aversion. Recently, the Google’s Display & Video 360 platform started offering a product akin to Market-Maker called “Guaranteed Packages,” which was inspired by this paper. This paper was accepted by Gabriel Weintraub, revenue management and market analytics. Funding: The authors thank Google Research for its generous support.

程序化购买市场做市商合同风险规避拍卖价格不确定性