The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
E-Customization
Abstract
Customized communications have the potential to reduce information overload and aid customer decisions, and the highly relevant products that result from customization can form the cornerstone of enduring customer relationships. In spite of such potential benefits, few models exist in the marketing literature to exploit the Internet's unique ability to design communications or marketing programs at the individual level. The authors develop a statistical and optimization approach for customization of information on the Internet. The authors use clickstream data from users at one of the top ten most trafficked Web sites to estimate the model and optimize the design and content of such communications for each user. The authors apply the model to the context of permission-based e-mail marketing, in which the objective is to customize the design and content of the e-mail to increase Web site traffic. The analysis suggests that the content-targeting approach can potentially increase the expected number of click-throughs by 62%.
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Cites
The Value of Purchase History Data in Target Marketing
Rossi, P. E., McCulloch, R. E., & Allenby, G. M. (1996) · Marketing Science · doi:10.1287/mksc.15.4.321 · Cited by 754
Counting Your Customers: Who-Are They and What Will They Do Next?
Schmittlein, D. C., Morrison, D. G., & Colombo, R. (1987) · Management Science · doi:10.1287/mnsc.33.1.1 · Cited by 679
Research works printed but not linked: 32
- 10.1177/002224299706100303 · DOI · Paper page
- 10.1177/002224379803500308 · DOI · Paper page
- 10.1016/S0304-4076(98)00055-4 · DOI · Paper page
- 10.1509/jmkr.37.3.363.18779 · DOI · Paper page
- 10.1287/mksc.19.4.328.11789 · DOI
- Becker Holly, 2002, Internet & Media Global Equity Research.
- 10.1214/aos/1176342372 · DOI · Paper page
- 10.1093/biomet/83.2.275 · DOI · Paper page
- 10.1214/aos/1176325756 · DOI
- Egan J.P., 1975, Signal Detection Theory and ROC Analysis.
- 10.1080/01621459.1994.10476468 · DOI · Paper page
- 10.1214/aos/1176342360 · DOI · Paper page
- 10.1214/aos/1176342752 · DOI
- 10.1007/978-1-4613-9511-9 · DOI
- 10.1080/01621459.1979.10481632 · DOI · Paper page
- Gelfand A.E., 1996, Monte Carlo Markov Chain in Practice, 145
- 10.1023/A:1007924221687 · DOI
- 10.1177/002224378001700302 · DOI
- 10.1177/002224379903600307 · DOI · Paper page
- 10.1080/00913367.1984.10672884 · DOI
- 10.1080/03610919408813196 · DOI · Paper page
- 10.1287/mksc.18.2.95 · DOI · Paper page
- 10.1177/002224379803500210 · DOI · Paper page
- 10.1097/00004424-198609000-00009 · DOI · Paper page
- Perkowitz M., 1997, Proceedings of 6th International www Conference.
- 10.1016/S1389-1286(00)00044-X · DOI
- Satterthwaite R., 1999, “Survey Results: The Real Cost of E-commerce Sites,”
- 10.1287/mksc.14.4.395 · DOI · Paper page
- 10.1097/00004424-197903000-00002 · DOI · Paper page
- 10.1287/mksc.14.3.271 · DOI
- 10.1007/978-1-4615-4651-1 · DOI · Paper page
- West M., 1994, Aspects of Uncertainty: A Tribute to D.V. Lindley, 363
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
Marketing Analytics for Data-Rich Environments
Wedel, M., & Kannan, P. K. (2016) · Journal of Marketing · doi:10.1509/jm.15.0413 · Cited by 1,261
Lamberton, C., & Stephen, A. T. (2016) · Journal of Marketing · doi:10.1509/jm.15.0415 · Cited by 1,127
Aguirre, E., Mahr, D., Grewal, D., de Ruyter, K., & Wetzels, M. (2015) · Journal of Retailing · doi:10.1016/j.jretai.2014.09.005 · Cited by 868
Ghose, A., Ipeirotis, P. G., & Li, B. (2012) · Marketing Science · doi:10.1287/mksc.1110.0700 · Cited by 649
Metadata
- Authors
- Ansari, A., & Mela, C. F.
- Venue
- Journal of Marketing Research
- Publisher
- SAGE Publications
- Published
- 2003-05
- Volume
- 40
- Issue
- 2
- Pages
- 131-145
- ISSN
- 0022-2437 (ISSN-L)
- 1547-7193
- OpenAlex
- W4240199737
- Cited by
- 596
- References
- 2
- FWCI
- 44.98
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
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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.