The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Customer Channel Migration
Abstract
Abstract The authors develop a model of customer channel migration and apply it to a retailer that markets over the Web and through catalogs. The model identifies the key phenomena required to analyze customer migration, shows how these phenomena can be modeled, and develops an approach for estimating the model. The methodology is unique in its ability to accommodate heterogeneous customer responses to a large number of distinct marketing communications in a dynamic context. The results indicate that (1) Web purchasing is associated with lower subsequent purchase volumes than when buying from other outlets; (2) marketing efforts are associated with channel usage and purchase incidence, offsetting negative Web experience effects; and (3) negative interactions occur between like communications (catalog × catalog or e-mail × e-mail) and between different types of communications (catalog × e-mail). The authors find that over the four-year period of their data, a Web-oriented “migration” segment emerged, and t...
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.2307/3151312 · Cited by 109,314
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
On the Evaluation of Structural Equation Models
Bagozzi, R. P., & Yi, Y. (1988) · Journal of the Academy of Marketing Science · doi:10.1007/bf02723327 · Cited by 26,163
SERVQUAL: A multiple-Item Scale for measuring consumer perceptions of service quality
Parasuraman, A., Berry, L. L., & Zeithaml, V. A. (1988) · Zenodo · doi:10.5281/zenodo.14579729 · Cited by 21,118
The Behavioral Consequences of Service Quality
Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996) · Journal of Marketing · doi:10.2307/1251929 · Cited by 12,003
Estimating causal effects of treatments in randomized and nonrandomized studies
Rubin, D. B. (1974) · Journal of Educational Psychology · doi:10.1037/h0037350 · Cited by 9,436
Determinants of Long-Term Orientation in Buyer-Seller Relationships
Ganesan, S. (1994) · Journal of Marketing · doi:10.1177/002224299405800201 · Cited by 6,741
Modern Methods for Business Research
(1998) · doi:10.4324/9781410604385 · Cited by 6,534
Return on Marketing: Using Customer Equity to Focus Marketing Strategy
Rust, R. T., Lemon, K. N., & Zeithaml, V. A. (2004) · Journal of Marketing · doi:10.1509/jmkg.68.1.109.24030 · Cited by 2,151
Representing and Testing Organizational Theories: A Holistic Construal
Bagozzi, R. P., & Phillips, L. W. (1982) · Administrative Science Quarterly · doi:10.2307/2392322 · Cited by 2,064
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
Multichannel customer management: Understanding the research-shopper phenomenon.
Verhoef, P. C., Neslin, S. A., & Vroomen, B. (2007) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2006.11.002 · Cited by 999
Self-citationMultichannel Shopper Segments and Their Covariates☆
KONUS, U., VERHOEF, P., & NESLIN, S. (2008) · Journal of Retailing · doi:10.1016/j.jretai.2008.09.002 · Cited by 577
Self-citationOn the Go: how mobile shopping affects customer purchase behavior.
Wang, R. J.-H., Malthouse, E. C., & Krishnamurthi, L. (2015) · Journal of Retailing · doi:10.1016/j.jretai.2015.01.002 · Cited by 559
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
Managing Marketing Communications with Multichannel Customers
Thomas, J. S., & Sullivan, U. Y. (2005) · Journal of Marketing · doi:10.1509/jmkg.2005.69.4.239 · Cited by 286
Batat, W. (2024) · Journal of Strategic Marketing · doi:10.1080/0965254x.2022.2059775 · Cited by 214
Practice Prize Paper—Marketing's Profit Impact: Quantifying Online and Off-line Funnel Progression
Wiesel, T., Pauwels, K., & Arts, J. (2011) · Marketing Science · doi:10.1287/mksc.1100.0612 · Cited by 207
News Media Channels: Complements or Substitutes? Evidence from Mobile Phone Usage
Xu, J., Forman, C., Kim, J. B., & Van Ittersum, K. (2014) · Journal of Marketing · doi:10.1509/jm.13.0198 · Cited by 180
Choice Models and Customer Relationship Management
Kamakura, W., Mela, C. F., Ansari, A., Bodapati, A., Fader, P., Iyengar, R., Naik, P., Neslin, S., Sun, B., Verhoef, P. C., et al. (2005) · Marketing Letters · doi:10.1007/s11002-005-5892-2 · Cited by 178
Self-citationEmerging Market Retail: Transitioning from a Product-Centric to a Customer-Centric Approach
Gupta, S., & Ramachandran, D. (2021) · Journal of Retailing · doi:10.1016/j.jretai.2021.01.008 · Cited by 166
CRM in Data-Rich Multichannel Retailing Environments: A Review and Future Research Directions
Verhoef, P. C., Venkatesan, R., McAlister, L., Malthouse, E. C., Krafft, M., & Ganesan, S. (2010) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2010.02.009 · Cited by 160
Situational variables in online versus offline channel choice
Chocarro, R., Cortiñas, M., & Villanueva, M.-L. (2013) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2013.03.004 · Cited by 139
Yang, S., Lu, Y., & Chau, P. Y. K. (2013) · Decision Support Systems · doi:10.1016/j.dss.2012.09.011 · Cited by 112
Jansen, B. J., Salminen, J. O., & Jung, S.-G. (2020) · Data and Information Management · doi:10.2478/dim-2020-0005 · Cited by 97
Drivers of Consumer Adoption of e-Commerce: a Meta-Analysis
Zerbini, C., Bijmolt, T. H. A., Maestripieri, S., & Luceri, B. (2022) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2022.04.003 · Cited by 68
The effects of mobile promotions on customer purchase dynamics
Park, C. H., Park, Y.-H., & Schweidel, D. A. (2018) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2018.05.001 · Cited by 51
Reimer, K., & Becker, J. U. (2015) · Management Review Quarterly · doi:10.1007/s11301-014-0110-z · Cited by 11
Mau, S., Cvijikj, I. P., & Wagner, J. (2015) · Zeitschrift für die gesamte Versicherungswissenschaft · doi:10.1007/s12297-015-0310-1 · Cited by 8
Metadata
- Authors
- Ansari, A., Mela, C. F., & Neslin, S. A.
- Venue
- Journal of Marketing Research
- Publisher
- SAGE Publications
- Published
- 2008-02
- Volume
- 45
- Issue
- 1
- Pages
- 60-76
- ISSN
- 0022-2437 (ISSN-L)
- OpenAlex
- W1967228352
- Cited by
- 594
- References
- 21
- FWCI
- 96.72
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.