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Estimating advertisers' values for paid search clickthroughs

Author

Listed:
  • D Laffey

    (University of Kent)

  • C Hunka

    (University of Kent)

  • J A Sharp

    (University of Kent)

  • Z Zeng

    (University of Kent)

Abstract

Paid search is an important form of online advertisement. Clickthroughs from slots are bid for by advertisers. The process of formulating bids is a complex one involving bidders in competing against other advertisers in multiple auctions. It would be helpful in managing the bidding process if it were possible to determine the values placed on a clickthrough by different advertisers. The theory of two models for estimating advertiser values and associated parameters is presented. The models are applied to a set of data for searches on the term Personal Loans. The results of the model that fits the data better are evaluated. The utility of the model to practitioners is discussed. Some issues raised by the results about the role of bidding agents and the discriminatory power of Customer Relationship Management systems are considered. Ways to develop the preferred model are outlined. It is suggested that the model has implications for evaluating forecasting methods for use in paid search auctions.

Suggested Citation

  • D Laffey & C Hunka & J A Sharp & Z Zeng, 2009. "Estimating advertisers' values for paid search clickthroughs," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(3), pages 411-418, March.
    • Handle: RePEc:pal:jorsoc:v:60:y:2009:i:3:d:10.1057_palgrave.jors.2602570
    DOI: 10.1057/palgrave.jors.2602570
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    References listed on IDEAS

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    1. William Vickrey, 1961. "Counterspeculation, Auctions, And Competitive Sealed Tenders," Journal of Finance, American Finance Association, vol. 16(1), pages 8-37, March.
    2. Benjamin Edelman & Michael Ostrovsky & Michael Schwarz, 2007. "Internet Advertising and the Generalized Second-Price Auction: Selling Billions of Dollars Worth of Keywords," American Economic Review, American Economic Association, vol. 97(1), pages 242-259, March.
    3. Varian, Hal R., 2007. "Position auctions," International Journal of Industrial Organization, Elsevier, vol. 25(6), pages 1163-1178, December.
    4. Unknown, 2005. "Internet Advertising and the Generalized Second Price Auction: Selling Billions of Dollars Worth of Keywords," Department of Economics, Working Paper Series qt8w16v26k, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    5. Pedregal, Diego J. & Young, Peter C., 2006. "Modulated cycles, an approach to modelling periodic components from rapidly sampled data," International Journal of Forecasting, Elsevier, vol. 22(1), pages 181-194.
    6. G. E. Fruchter & W. Dou, 2005. "Optimal Budget Allocation over Time for Keyword Ads in Web Portals," Journal of Optimization Theory and Applications, Springer, vol. 124(1), pages 157-174, January.
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