Modeling the Clickstream: Implications for Web-Based Advertising Efforts

Patrali Chatterjee, Donna L. Hoffman, Thomas P. Novak

Research output: Contribution to journalReview article

264 Scopus citations

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.

Original languageEnglish
Pages (from-to)520-542
Number of pages23
JournalMarketing Science
Volume22
Issue number4
StatePublished - 1 Sep 2003

Keywords

  • Advertising and Media Research
  • Clickstream Data
  • Computer-Mediated Environments
  • Internet
  • Online Consumer Behavior
  • Random-Coefficient Models
  • World Wide Web

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