Integrating marketing databases through regressed microsegmentation
Hugh M. Cannon,
David L. Williams and
Sung-Joon Yoon
Journal of Business Research, 2010, vol. 63, issue 4, 424-430
Abstract:
In order to quantitatively target media to markets, media planners need a data base that contains both target market membership and media usage variables. In the absence of single-source data, containing both kinds of variables, researchers have sought to synthesize, or integrate, these data through a variety of different approaches. One of the most elegant is microsegmentation. While the approach has been shown to consistently underestimate the concentration of target market members in the most selective media vehicles, this study suggests that the method might produce a proper ordering, or better yet, a proportionate evaluation of media. This, in turn, suggests that a regression equation might be used to adjust initial estimates of target market concentrations, thus providing a better means of linking target market and media data bases.
Keywords: Market; research; Data; integration; Microsegmentation; Media-market; matching; Single-source; data (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0148-2963(09)00091-5
Full text for ScienceDirect subscribers only
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:eee:jbrese:v:63:y:2010:i:4:p:424-430
Access Statistics for this article
Journal of Business Research is currently edited by A. G. Woodside
More articles in Journal of Business Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().