The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Using Segmentation to Improve Sales Forecasts Based on Purchase Intent: Which "Intenders" Actually Buy?
Abstract
Vicki G. Morwitz, David Schmittlein, Using Segmentation to Improve Sales Forecasts Based on Purchase Intent: Which "Intenders" Actually Buy?, Journal of Marketing Research, Vol. 29, No. 4 (Nov., 1992), pp. 391-405
Overview
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Citations
Cites
An exploratory technique for investigating large quantities of categorical data
Kass, G. V. (1980) · Applied Statistics · doi:10.2307/2986296 · Cited by 2,880
Cited by
Bolton, R. N. (1998) · Marketing Science · doi:10.1287/mksc.17.1.45 · Cited by 1,948
Implications of Loyalty Program Membership and Service Experiences for Customer Retention and Value
Bolton, R. N., Kannan, P. K., & Bramlett, M. D. (2000) · Journal of the Academy of Marketing Science · doi:10.1177/0092070300281009 · Cited by 1,157
Chen, S.-C., & Lin, C.-P. (2019) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2018.11.025 · Cited by 606
Customer Base Analysis: An Industrial Purchase Process Application
Schmittlein, D. C., & Peterson, R. A. (1994) · Marketing Science · doi:10.1287/mksc.13.1.41 · Cited by 248
Self-citation
Metadata
- Authors
- Morwitz, V. G., & Schmittlein, D.
- Venue
- Journal of Marketing Research
- Publisher
- JSTOR
- Published
- 1992-11
- Volume
- 29
- Issue
- 4
- Pages
- 391
- ISSN
- 0022-2437 (ISSN-L)
- OpenAlex
- W2326900857
- Cited by
- 293
- References
- 1
- FWCI
- 4.27
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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How to cite
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- CoChat. (2026). Citation check: Using Segmentation to Improve Sales Forecasts Based on Purchase Intent: Which "Intenders" Actually Buy? https://app.cochat.ai/papers/10.2307/3172706
- The paper
- Morwitz, V. G., & Schmittlein, D. (1992). Using Segmentation to Improve Sales Forecasts Based on Purchase Intent: Which "Intenders" Actually Buy? Journal of Marketing Research. https://doi.org/10.2307/3172706
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.
