Customer-oriented benefit segmentation: an integrated approach
Mohammad Hasan Aghdaie,
Parham Fami Tafreshi and
Majid Behzadian
International Journal of Business Innovation and Research, 2014, vol. 8, issue 2, 168-189
Abstract:
Segmentation is a common and important task for most marketing departments. Besides, other marketing decisions are influenced by market segmentation results. Benefit segmentation is one of the best approaches for market segmentation among others. In this paper, we proposed a novel hybrid benefit segmentation approach which applied two-stage clustering, conjoint analysis, and Delphi technique to segment customers according to their benefits. More precisely, we used two-stage clustering based on main benefits derived from conjoint analysis to classify customers into different segments. Conjoint analysis was used to assess and balance dissimilar aspects of consumers' needs. Delphi method was used for the selection of the most important criteria and their levels which conjoint analysis required all of them for evaluation. This approach did not only help managers to segment customers but also to provide a way to analyse consumer behaviour, determine the marking strategy and extract the importance of each attribute in each segment.
Keywords: market segmentation; benefit segmentation; two-stage clustering; Ward's method; K-means clustering; conjoint analysis; Delphi method; laptop market; Iran; marketing; consumer behaviour. (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.inderscience.com/link.php?id=59532 (text/html)
Access to full text is restricted to subscribers.
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:ids:ijbire:v:8:y:2014:i:2:p:168-189
Access Statistics for this article
More articles in International Journal of Business Innovation and Research from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().