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Display Advertising Auctions with Arbitrage

Published: 23 June 2015 Publication History

Abstract

Online display advertising exchanges connect Web publishers with advertisers seeking to place ads. In many cases, the advertiser obtains value from an ad impression (a viewing by a user) only if it is clicked, and frequently advertisers prefer to pay contingent on this occurring. But at the same time, many publishers demand payment independent of clicks. Arbitragers with good estimates of click-probabilities can resolve this conflict by absorbing the risk and acting as an intermediary, paying the publisher on allocation and being paid only if a click occurs. This article examines the incentives of advertisers and arbitragers and contributes an efficient mechanism with truthful bidding by the advertisers and truthful reporting of click predictions by arbitragers as dominant strategies while, given that a hazard rate condition is satisfied, yielding increased revenue to the publisher. We provide empirical evidence based on bid data from Yahoo's Right Media Exchange suggesting that the mechanism would increase revenue in practice.

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  • (2021)An Alternative Auction System to Generalized Second-Price for Real-Time Bidding Optimized Using Genetic AlgorithmsProceedings of Sixth International Congress on Information and Communication Technology10.1007/978-981-16-2380-6_8(83-107)Online publication date: 17-Sep-2021
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    Published In

    cover image ACM Transactions on Economics and Computation
    ACM Transactions on Economics and Computation  Volume 3, Issue 3
    June 2015
    100 pages
    ISSN:2167-8375
    EISSN:2167-8383
    DOI:10.1145/2795422
    Issue’s Table of Contents
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 23 June 2015
    Accepted: 01 September 2014
    Revised: 01 February 2013
    Received: 01 July 2012
    Published in TEAC Volume 3, Issue 3

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    Author Tags

    1. Auctions
    2. arbitrage
    3. efficiency
    4. mechanism design
    5. online advertising

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    Cited By

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    • (2022)Analysis of online position auctions for search engine marketingJournal of Marketing Analytics10.1057/s41270-022-00170-xOnline publication date: 28-May-2022
    • (2021)Trends and patterns in digital marketing research: bibliometric analysisJournal of Marketing Analytics10.1057/s41270-021-00116-910:2(158-172)Online publication date: 12-Aug-2021
    • (2021)An Alternative Auction System to Generalized Second-Price for Real-Time Bidding Optimized Using Genetic AlgorithmsProceedings of Sixth International Congress on Information and Communication Technology10.1007/978-981-16-2380-6_8(83-107)Online publication date: 17-Sep-2021
    • (2020)Header Bidding as Smart Service for Selling Ads in the Digital EraJournal of Information Systems Engineering and Management10.29333/jisem/84835:4(em0123)Online publication date: 2020
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    • (2018)A Pareto optimal mechanism for demand-side platforms in real time bidding advertising marketsInformation Sciences10.1016/j.ins.2018.08.012469(119-140)Online publication date: Dec-2018
    • (2017)Revenue models for demand side platforms in real time bidding advertising2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)10.1109/SMC.2017.8122644(438-443)Online publication date: Oct-2017
    • (2017)Exploring new mechanisms for demand-side platforms in real time bidding markets2017 Chinese Automation Congress (CAC)10.1109/CAC.2017.8244164(7658-7663)Online publication date: Oct-2017
    • (2017)Improving Auction Mechanisms for Online Real-Time Bidding Advertising with a Two-stage Resale ModelIFAC-PapersOnLine10.1016/j.ifacol.2017.08.237250:1(13575-13580)Online publication date: Jul-2017
    • (2017)Exploring the optimal granularity for market segmentation in RTB advertising via computational experiment approachElectronic Commerce Research and Applications10.1016/j.elerap.2017.07.00124:C(68-83)Online publication date: 1-Jul-2017
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