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Effects of Configuration and Exposure Levels on Responses to Web Advertisements

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  • CHANDON, JEAN LOUIS
  • CHTOUROU, MOHAMED SABER
  • FORTIN, DAVID R.

Abstract

The debate about which media metric efficiently measures the effectiveness of a web-based advertisement, such as banners, is still alive and well. Nonetheless, the most widely used measure of effectiveness for banner advertisements is still the click-through rate. The purpose of this article is to review the measures currently used to measure effectiveness in web advertising and to empirically determine the factors that might contribute to observed variations in click-through rates based on an actual sample of advertising campaigns. The study examined the complete set of all advertising insertions of 77 customers of a large advertising agency over a one-year period. A resulting sample of 1,258 placements was used to study the effect of banner formats and exposure levels on click-through rates using analysis of variance. Results suggest that the strongest effect on click-through rates comes from the use of trick banners (η2 = 0.25) and that other factors such as size of the advertisement, motion, use of “click here,†and “online only†type of announcers all have a significant impact of click-through rates. Implications of these findings as well as limitations of the current study are discussed and directions for future research agendas proposed.

Suggested Citation

  • Chandon, Jean Louis & Chtourou, Mohamed Saber & Fortin, David R., 2003. "Effects of Configuration and Exposure Levels on Responses to Web Advertisements," Journal of Advertising Research, Cambridge University Press, vol. 43(2), pages 217-229, June.
    • Handle: RePEc:cup:jadres:v:43:y:2003:i:02:p:217-229_03
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    Cited by:

    1. Berger, A. & Grigoriev, A. & van Loon, J., 2008. "Price strategy implementation," Research Memorandum 035, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    2. Bellman, Steven & Schweda, Anika & Varan, Duane, 2012. "Interactive TV advertising: iTV ad executional factors," Journal of Business Research, Elsevier, vol. 65(6), pages 831-839.
    3. Bayer, Emanuel & Srinivasan, Shuba & Riedl, Edward J. & Skiera, Bernd, 2020. "The impact of online display advertising and paid search advertising relative to offline advertising on firm performance and firm value," International Journal of Research in Marketing, Elsevier, vol. 37(4), pages 789-804.
    4. Yi Zhu & Kenneth C. Wilbur, 2011. "Hybrid Advertising Auctions," Marketing Science, INFORMS, vol. 30(2), pages 249-273, 03-04.
    5. Lohtia, Ritu & Donthu, Naveen & Yaveroglu, Idil, 2007. "Evaluating the efficiency of Internet banner advertisements," Journal of Business Research, Elsevier, vol. 60(4), pages 365-370, April.
    6. Osinga, Ernst C. & Zevenbergen, Menno & van Zuijlen, Mark W.G., 2019. "Do mobile banner ads increase sales? Yes, in the offline channel," International Journal of Research in Marketing, Elsevier, vol. 36(3), pages 439-453.
    7. Serhat Peker & Gonca Gokce Menekse Dalveren & Yavuz İnal, 2021. "The Effects of the Content Elements of Online Banner Ads on Visual Attention: Evidence from An-Eye-Tracking Study," Future Internet, MDPI, vol. 13(1), pages 1-18, January.
    8. Yasir Rashid, Muhammad Zeeshan, 2018. "Customer Attitude towards Online Ads of Smartphone Brands: A Netnographic Analysis of User Generated Comments on YouTube," Journal of Management Sciences, Geist Science, Iqra University, Faculty of Business Administration, vol. 5(2), pages 40-64, October.
    9. Acquisti, Alessandro & Spiekermann, Sarah, 2011. "Do Interruptions Pay off? Effects of Interruptive Ads on Consumers' Willingness to Pay," Journal of Interactive Marketing, Elsevier, vol. 25(4), pages 226-240.
    10. Gauzente, Claire, 2010. "The intention to click on sponsored ads—A study of the role of prior knowledge and of consumer profile," Journal of Retailing and Consumer Services, Elsevier, vol. 17(6), pages 457-463.
    11. Kim, Juran & Kang, Seungmook & Lee, Ki Hoon, 2021. "Evolution of digital marketing communication: Bibliometric analysis and network visualization from key articles," Journal of Business Research, Elsevier, vol. 130(C), pages 552-563.

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