Step 5: Extracting Segments
Sara Dolnicar,
Bettina Grün and
Friedrich Leisch
Additional contact information
Sara Dolnicar: The University of Queensland
Bettina Grün: Johannes Kepler Universität Linz
Friedrich Leisch: Universität für Bodenkultur Wien
Chapter Chapter 7 in Market Segmentation Analysis, 2018, pp 75-181 from Springer
Abstract:
Abstract This chapter focuses on the task of grouping consumers and, in so doing, revealing naturally existing or creating artificial market segments. The chapter covers algorithms falling into three categories: distance-based methods, model-based methods, and algorithms integrating variable selection with the task of extracting market segments. In addition, data structure analysis is introduced. Data structure analysis provides insight into whether the resulting market segments are naturally occurring in the market; created but stable; or created and unstable across repeated calculations. A series of questions are included in a checklist to assist with the implementation of this step.
Date: 2018
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:mgmchp:978-981-10-8818-6_7
Ordering information: This item can be ordered from
http://www.springer.com/9789811088186
DOI: 10.1007/978-981-10-8818-6_7
Access Statistics for this chapter
More chapters in Management for Professionals from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().