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Modeling the Clickstream: Implications for Web-Based Advertising Efforts

Author

Listed:
  • Patrali Chatterjee

    (Rutgers Business School—Newark & New Brunswick, Rutgers University, Newark, New Jersey 07102-1897)

  • Donna L. Hoffman

    (Owen Graduate School of Management, Vanderbilt University, Nashville, Tennessee 37203)

  • Thomas P. Novak

    (Owen Graduate School of Management, Vanderbilt University, Nashville, Tennessee 37203)

Abstract

In this paper, we develop an analytical approach to modeling consumer response to banner ad exposures at a sponsored content Web site that reveals significant heterogeneity in (unobservable) click proneness across consumers. The effect of repeated exposures to banner ads is negative and nonlinear, and the differential effect of each successive ad exposure is initially negative, though nonlinear, and levels off at higher levels of passive ad exposures. Further, significant correlations between session and consumer click proneness and banner exposure sensitivity suggest gains from repeated banner exposures when consumers are less click prone. For a particular number of sessions, more clicks are generated from consumers who revisit over a longer period of time, than for those with the same number of sessions in a relatively shorter timeframe. We also find that consumers are equally likely to click on banner ads placed early or late in navigation path and that exposures have a positive cumulative effect in inducing click-through in future sessions. Our results have implications for online advertising response measurement and dynamic ad placement, and may help guide advertising media placement decisions.

Suggested Citation

  • Patrali Chatterjee & Donna L. Hoffman & Thomas P. Novak, 2003. "Modeling the Clickstream: Implications for Web-Based Advertising Efforts," Marketing Science, INFORMS, vol. 22(4), pages 520-541, May.
  • Handle: RePEc:inm:ormksc:v:22:y:2003:i:4:p:520-541
    DOI: 10.1287/mksc.22.4.520.24906
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    References listed on IDEAS

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    1. J. Morgan Jones & Jane T. Landwehr, 1988. "Removing Heterogeneity Bias from Logit Model Estimation," Marketing Science, INFORMS, vol. 7(1), pages 41-59.
    2. Germáan Rodríguez & Noreen Goldman, 1995. "An Assessment of Estimation Procedures for Multilevel Models with Binary Responses," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 158(1), pages 73-89, January.
    3. David Revelt & Kenneth Train, 1998. "Mixed Logit With Repeated Choices: Households' Choices Of Appliance Efficiency Level," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 647-657, November.
    4. Kenneth E. Train, 1998. "Recreation Demand Models with Taste Differences over People," Land Economics, University of Wisconsin Press, vol. 74(2), pages 230-239.
    5. Yuxin Chen & Ganesh Iyer, 2002. "Research Note Consumer Addressability and Customized Pricing," Marketing Science, INFORMS, vol. 21(2), pages 197-208, November.
    6. Greenwald, Anthony G & Leavitt, Clark, 1984. "Audience Involvement in Advertising: Four Levels," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 11(1), pages 581-592, June.
    7. Janiszewski, Chris, 1993. "Preattentive Mere Exposure Effects," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 20(3), pages 376-392, December.
    8. John G. Lynch , Jr. & Dan Ariely, 2000. "Wine Online: Search Costs Affect Competition on Price, Quality, and Distribution," Marketing Science, INFORMS, vol. 19(1), pages 83-103, April.
    9. Thomas P. Novak & Donna L. Hoffman & Yiu-Fai Yung, 2000. "Measuring the Customer Experience in Online Environments: A Structural Modeling Approach," Marketing Science, INFORMS, vol. 19(1), pages 22-42, May.
    10. Ariely, Dan, 2000. "Controlling the Information Flow: Effects on Consumers' Decision Making and Preferences," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 27(2), pages 233-248, September.
    11. Batra, Rajeev & Ray, Michael L, 1986. "Situational Effects of Advertising Repetition: The Moderating Influence of Motivation, Ability, and Opportunity to Respond," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 12(4), pages 432-445, March.
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