Methods and measures that profile heavy users

Brian Wansink, Se-Bum Park

Research output: Contribution to journalArticle

32 Citations (Scopus)

Abstract

Heavy users can be a critical segment for packaged-goods marketers to target. Yet many attempts to profile heavy users have proven to be unsuccessful because of methodological and measurement problems. This article shows the diagnostic shortcomings of the commonly used mean comparison method of heavy-user segmentation, and it presents a clustering method that effectively differentiates different types of heavy users from light users. Characteristics that differentiate heavy users from light users were collected from academic and commercial studies and are shown to relate to five basic lifestyle factors and six personality factors. While providing a key starting point for studying heavy users, they also show the dominant role that personality characteristics (versus lifestyle or demographic characteristics) play in differentiating heavy users from light users.

Original languageEnglish
Pages (from-to)61-72
Number of pages12
JournalJournal of Advertising Research
Volume40
Issue number4
DOIs
Publication statusPublished - 2000 Jan 1

Fingerprint

comparison of methods
personality traits
diagnostic
personality
Factors
Lifestyle
segmentation
Marketers
Segmentation
Personality characteristics
Demographic characteristics
Diagnostics
Clustering

All Science Journal Classification (ASJC) codes

  • Communication
  • Marketing

Cite this

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Methods and measures that profile heavy users. / Wansink, Brian; Park, Se-Bum.

In: Journal of Advertising Research, Vol. 40, No. 4, 01.01.2000, p. 61-72.

Research output: Contribution to journalArticle

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