Proceedings

Improving the Effectiveness of Time-Based Display Advertising

Download BibTeX Cite

Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence. Pages 3007-3010.

© 2013 International Joint Conferences on Artificial Intelligence

Abstract

CPM or cost per thousand impressions is the prevalent metric used for selling online display ads. In previous work, we have shown that the exposure duration of an ad has strong effects on the likelihood of an ad being remembered, with the first seconds of exposure having the greatest impact on memory. Because an ad pricing metric that is based on both time and impressions should be more exact than one based on impressions alone, the industry has good reasons to move towards time-based advertising. We address the following unanswered question: how should time-based ads be scheduled? We test and present one schedule that leads to greater total recollection, which advertisers want, and increased revenue, which publishers want. First, we find that presenting two short, successive ads results in more total recollection than presenting one longer ad of twice the duration. Second, we show that this effect disappears as the duration of these ads increases. Together, these findings suggest a form of time-based ad pricing that should appeal to advertisers and publishers alike.

  1. [Drèze and Hussherr, 2003] Xavier Drèze and Franc ¸ois- Xavier Hussherr. Internet advertising: Is anybody watch- ing? Journal of Interactive Marketing, 17(4), 2003.
  2. [Goldstein et al., 2011] Daniel G. Goldstein, R. Preston McAfee, and Siddharth Suri. The effects of exposure time on memory of display advertisements. In Proceedings of the 12th ACM conference on Electronic commerce, EC '11, pages 49-58, New York, NY, USA, 2011. ACM.
  3. [Goldstein et al., 2012] Daniel G. Goldstein, R. Preston McAfee, and Siddharth Suri. Improving the effectiveness of time-based display advertising. In Proceedings of the 13th ACM Conference on Electronic Commerce, EC '12, pages 639-654, New York, NY, USA, 2012. ACM.
  4. [Lewis and Reiley, 2011] Randall A. Lewis and David H. Reiley. Does retail advertising work? Measuring the ef- fects of advertising on sales via a controlled experiment on Yahoo! Working Paper, June 2011.
  5. [Manchanda et al., 2006] Puneet Manchanda, Jean-Pierre Dubé, Khim Yong Goh, and Pradeep K. Chintagunta. The effect of banner advertising on internet purchasing. Jour- nal Of Marketing Research, 43(1):98-108, 2006.
  6. [Starch, 1923] D. Starch. Principles of Advertising. A. W. Shaw Company, Chicago, 1923.
  7. [Wells, 2000] W. Wells. Recognition, recall, and rating scales. Journal of Advertising Research, 40(6):14-20, 2000.

References were extracted automatically from the PDF and may contain errors.

Welcome Future Conferences AI Journal Division IJCAI Proceedings About IJCAI IJCAI Awards