—Interbrand Variant Overlap: Impact on Brand Preference and Portfolio Profit
Anocha Aribarg () and
Neeraj Arora ()
Additional contact information
Anocha Aribarg: Marketing Department, Ross School of Business, University of Michigan, Ann Arbor, Michigan 48109
Neeraj Arora: Marketing Department, University of Wisconsin, Madison, Wisconsin 53706
Marketing Science, 2008, vol. 27, issue 3, 474-491
Abstract:
Firms often carry a portfolio of multiple brands within a product category to target different quality tiers in the market. Furthermore, to satisfy heterogeneous consumer preferences within each quality tier, these firms also offer several variants for each brand. A natural outcome of this practice is interbrand variant overlap that could occur across tiers or within a tier. In this paper, we show that across-tier variant overlap is likely to diminish the preference of an upper-tier brand and enhance the preference of a lower-tier brand. We also find that variant overlap within a tier is likely to increase preferences of a brand belonging to the tier. Such variant overlap effects have important brand portfolio management implications for a multibrand firm. Specifically, we demonstrate that such a firm can enhance its portfolio profit under certain conditions by pruning its variants to reduce variant overlap. Because our paper relies on aggregate data, future research should investigate variant overlap at the individual level using panel or experimental data.
Keywords: brand portfolio management; variant overlap; product line pruning; multibrand firm; Bayesian (search for similar items in EconPapers)
Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://dx.doi.org/10.1287/mksc.1060.0262 (application/pdf)
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:inm:ormksc:v:27:y:2008:i:3:p:474-491
Access Statistics for this article
More articles in Marketing Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().