Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 893

The DOI matches its Crossref record.

Benefit Segmentation: A Decision-oriented Research Tool

Haley, Russell I.·1968·Journal of Marketing

Abstract

According to this article, most techniques of market segmentation rely only on DESCRIPTIVE factors pertaining to purchasers and are not efficient predictors of future buyer behavior. The author proposes an approach whereby market segments are delineated first on the basis of factors with a CAUSAL relationship to future purchase behavior. The belief underlying this segmentation strategy is that the benefits which people are seeking in consuming a given product are the basic reasons for the existence of true market segments.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1177/002224296803200306

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.

A few free checks a day · papers already verified open instantly · results are public

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

Cited by

See all 893

Metadata

Authors
Haley, R. I.
Venue
Journal of Marketing
Published
1968-07
Volume
32
Issue
3
Pages
30-35
ISSN
  • 0022-2429 (ISSN-L)
  • 1547-7185
OpenAlex
W2071712397
Cited by
893
References
0
FWCI
16.60
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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Benefit Segmentation: A Decision-oriented Research Tool. https://app.cochat.ai/papers/10.1177/002224296803200306
The paper
Haley, R. I. (1968). Benefit Segmentation: A Decision-oriented Research Tool. Journal of Marketing. https://doi.org/10.1177/002224296803200306

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.