The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Click Here for Internet Insight: Advances in Clickstream Data Analysis in Marketing
Abstract
Clickstream data are defined as the electronic record of Internet usage collected by Web servers or third-party services. The authors discuss the nature of clickstream data, noting key strengths and limitations of these data for research in marketing. The paper reviews major developments from the analysis of these data, covering advances in understanding (1) browsing and site usage behavior on the Internet, (2) the Internet's role and efficacy as a new medium for advertising and persuasion, and (3) shopping behavior on the Internet (i.e., electronic commerce). The authors outline opportunities for new research and highlight several emerging areas likely to grow in future importance. Inherent limitations of clickstream data for understanding and predicting the behavior of Internet users or researching marketing phenomena are also discussed.
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Cites
The Effect of Word of Mouth on Sales: Online Book Reviews
Chevalier, J. A., & Mayzlin, D. (2006) · Journal of Marketing Research · doi:10.1509/jmkr.43.3.345 · Cited by 6,003
The value of reputation on eBay: A controlled experiment
Resnick, P., Zeckhauser, R., Swanson, J., & Lockwood, K. (2006) · Experimental Economics · doi:10.1007/s10683-006-4309-2 · Cited by 1,118
Cognitive Lock-In and the Power Law of Practice
Johnson, E. J., Bellman, S., & Lohse, G. L. (2003) · Journal of Marketing · doi:10.1509/jmkg.67.2.62.18615 · Cited by 389
From Generic to Branded: A Model of Spillover in Paid Search Advertising
Rutz, O. J., & Bucklin, R. E. (2011) · Journal of Marketing Research · doi:10.1509/jmkr.48.1.87 · Cited by 360
Self-citationProspects for Personalization on the Internet
Montgomery, A. L., & Smith, M. D. (2009) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2009.02.001 · Cited by 264
Cited by
Digital marketing: a framework, review, and research agenda
Kannan, P. K., & Li, H. “. (2017) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2016.11.006 · Cited by 1,707
The Importance of Trust for Personalized Online Advertising
Bleier, A., & Eisenbeiss, M. (2015) · Journal of Retailing · doi:10.1016/j.jretai.2015.04.001 · Cited by 529
Online Trust: State of The Art, New Frontiers, and Research Potential
Urban, G. L., Amyx, C., & Lorenzon, A. (2009) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2009.03.001 · Cited by 393
Modeling consumer purchasing behavior in social shopping communities with clickstream data
Olbrich, R., & Holsing, C. (2011) · International Journal of Electronic Commerce · doi:10.2753/jec1086-4415160202 · Cited by 277
Mapping the customer journey: Lessons learned from graph-based online attribution modeling
Anderl, E., Becker, I., von Wangenheim, F., & Schumann, J. H. (2016) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2016.03.001 · Cited by 186
Metadata
- Authors
- Bucklin, R. E., & Sismeiro, C.
- Venue
- Journal of Interactive Marketing
- Publisher
- SAGE Publications
- Published
- 2009-02
- Volume
- 23
- Issue
- 1
- Pages
- 35-48
- ISSN
- 1094-9968 (ISSN-L)
- 1520-6653
- OpenAlex
- W2048590610
- Cited by
- 242
- References
- 5
- FWCI
- 30.39
- Type
- journal article
- Language
- en
- Open access
- closed
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- Bucklin, R. E., & Sismeiro, C. (2009). Click Here for Internet Insight: Advances in Clickstream Data Analysis in Marketing. Journal of Interactive Marketing. https://doi.org/10.1016/j.intmar.2008.10.004
Data sources
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
