Improving the Effectiveness of Time-Based Display Advertising
Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence. Pages 3007-3010.
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.
@inproceedings{ijcai2013p446,
title = {Improving the Effectiveness of Time-Based Display Advertising},
author = {Goldstein, Daniel Gray and McAfee, R. Preston and Suri, Siddharth},
booktitle = {Proceedings of the Twenty-Third International Joint Conference on
Artificial Intelligence, {IJCAI-13}},
publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
editor = {Francesca Rossi},
pages = {3007--3010},
year = {2013},
month = {8},
url = {https://ijcai.org/proceedings/2013/446},
}
TY - CPAPER TI - Improving the Effectiveness of Time-Based Display Advertising AU - Goldstein, Daniel Gray AU - McAfee, R. Preston AU - Suri, Siddharth T2 - Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, IJCAI-13 PB - AAAI Press / International Joint Conferences on Artificial Intelligence PY - 2013 SP - 3007 EP - 3010 UR - https://ijcai.org/proceedings/2013/446 ER -Copied
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