The impact of TV ads on the individual user's online purchasing behavior
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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2015 International Conference on Information Systems: Exploring the Information Frontier, ICIS 2015. Association for Information Systems, 2015. (2015 International Conference on Information Systems: Exploring the Information Frontier, ICIS 2015).
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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TY - CHAP
T1 - The impact of TV ads on the individual user's online purchasing behavior
AU - Stange, Martin
N1 - Conference code: 36
PY - 2015
Y1 - 2015
N2 - The importance of a well-balanced cross-channel marketing strategy has increased over the past few years. The synergies caused by the interdependencies of different online channels, such as e-mail advertising, search engine and banner advertising, have also drawn the attention of many researchers. However, relatively little is known about the impact of offline marketing, such as TV advertising, on online user behavior. In this article, a model commonly used in clickstream analysis is extended by adding several TV advertising variables. Based on this model, a hierarchical Bayesian logistic model is developed to estimate the cross-channel effects of both offline and online channel contacts. By applying this model to a case study, it is shown which online channels are most supported by television ads. The findings of this paper have managerial implications for practitioners in the field, in particular because of the increasing use of a so-called "second screen" while watching TV.
AB - The importance of a well-balanced cross-channel marketing strategy has increased over the past few years. The synergies caused by the interdependencies of different online channels, such as e-mail advertising, search engine and banner advertising, have also drawn the attention of many researchers. However, relatively little is known about the impact of offline marketing, such as TV advertising, on online user behavior. In this article, a model commonly used in clickstream analysis is extended by adding several TV advertising variables. Based on this model, a hierarchical Bayesian logistic model is developed to estimate the cross-channel effects of both offline and online channel contacts. By applying this model to a case study, it is shown which online channels are most supported by television ads. The findings of this paper have managerial implications for practitioners in the field, in particular because of the increasing use of a so-called "second screen" while watching TV.
KW - Bayesian network
KW - Decision aids
KW - Electronic commerce
KW - User behavior
KW - Informatics
KW - Business informatics
UR - http://www.scopus.com/inward/record.url?scp=85107083280&partnerID=8YFLogxK
M3 - Article in conference proceedings
AN - SCOPUS:85107083280
SN - 9780996683111
T3 - 2015 International Conference on Information Systems: Exploring the Information Frontier, ICIS 2015
BT - 2015 International Conference on Information Systems
PB - Association for Information Systems
T2 - International Conference on Information Systems: Exploring the Information Frontier - ICIS 2015
Y2 - 13 December 2015 through 16 December 2015
ER -