The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Counting your customers: Compounding customer’s in-store decisions, interpurchase time and repurchasing behavior
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“(Other researchers (e.g., Reinartz andKumar 2000, 2003;Wu and Chen 2000) have employed the model extensively, but do not report on its performance in a holdout period.)”
From “Counting Your Customers” the Easy Way: An Alternative to the Pareto/NBD Model (2005) · cites this paper as Wu and Chen 2000
Citations
Cites
Limited-dependent and qualitative variables in econometrics
Maddala, G. S. (1983) · Cambridge University Press eBooks · doi:10.1017/cbo9780511810176 · Cited by 13,240
Marketing management: analysis. planning. implementation and control
Kotler, P. (2000) · Cited by 6,639
Stochastic models for learning.
Bush, R. R., & Mosteller, F. C. (1955) · John Wiley & Sons, Inc. eBooks · doi:10.1037/14496-000 · Cited by 1,531
Limited-Dependent and Qualitative Variables in Econometrics.
Schmidt, P., & Maddala, G. S. (1984) · Journal of the American Statistical Association · doi:10.2307/2288445 · Cited by 1,310
Erdem, T., & Keane, M. P. (1996) · Marketing Science · doi:10.1287/mksc.15.1.1 · Cited by 1,230
Impact of Sales Promotions on when, what, and how Much to Buy
Gupta, S. (1988) · Journal of Marketing Research · doi:10.1177/002224378802500402 · Cited by 1,049
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
The Dirichlet: A Comprehensive Model of Buying Behaviour
Goodhardt, G. J., Ehrenberg, A. S. C., & Chatfield, C. (1984) · Journal of the Royal Statistical Society. Series A (General) · doi:10.2307/2981696 · Cited by 435
Stochastic Models for Learning.
Bartlett, M. S., Bush, R. R., & Mosteller, F. C. (1956) · Journal of the Royal Statistical Society Series C (Applied Statistics) · doi:10.2307/2985500 · Cited by 294
Determining Segmentation in Sales Response across Consumer Purchase Behaviors
Bucklin, R. E., Гупта, С., & Siddarth, S. (1998) · Journal of Marketing Research · doi:10.1177/002224379803500205 · Cited by 230
Cited by
“Counting Your Customers” the Easy Way: An Alternative to the Pareto/NBD Model
Fader, P. S., Hardie, B. G. S., & Lee, K. L. (2005) · Marketing Science · doi:10.1287/mksc.1040.0098 · Cited by 480
Probability Models for Customer-Base Analysis
Fader, P. S., & Hardie, B. G. S. (2009) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2008.11.003 · Cited by 204
Comparing Churn Prediction Techniques and Assessing Their Performance: A Contingent Perspective
Tamaddoni, A., Stakhovych, S., & Ewing, M. (2016) · Journal of Service Research · doi:10.1177/1094670515616376 · Cited by 50
Metadata
- Authors
- Wu, C., & Chen, H.-L.
- Venue
- European Journal of Operational Research
- Publisher
- Elsevier BV
- Published
- 2000-11
- Volume
- 127
- Issue
- 1
- Pages
- 109-119
- ISSN
- 0377-2217
- Cited by
- 35
- References
- 27
- Language
- en
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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 ›
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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.
