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Automated Marketing Research Using Online Customer Reviews
by
BRADLOW, ERIC T.
, LEE, THOMAS Y.
in
Brands
/ Consumer research
/ Customers
/ Data Mining
/ Digital cameras
/ Financial market structures
/ Market positioning
/ Market segmentation
/ Market structure analysis
/ Marketing
/ Marketing management
/ Marktforschung
/ Marktstruktur
/ Online-Befragung
/ Product design
/ Product reviews
/ Research methods
/ Studies
2011
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Automated Marketing Research Using Online Customer Reviews
by
BRADLOW, ERIC T.
, LEE, THOMAS Y.
in
Brands
/ Consumer research
/ Customers
/ Data Mining
/ Digital cameras
/ Financial market structures
/ Market positioning
/ Market segmentation
/ Market structure analysis
/ Marketing
/ Marketing management
/ Marktforschung
/ Marktstruktur
/ Online-Befragung
/ Product design
/ Product reviews
/ Research methods
/ Studies
2011
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Automated Marketing Research Using Online Customer Reviews
by
BRADLOW, ERIC T.
, LEE, THOMAS Y.
in
Brands
/ Consumer research
/ Customers
/ Data Mining
/ Digital cameras
/ Financial market structures
/ Market positioning
/ Market segmentation
/ Market structure analysis
/ Marketing
/ Marketing management
/ Marktforschung
/ Marktstruktur
/ Online-Befragung
/ Product design
/ Product reviews
/ Research methods
/ Studies
2011
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Automated Marketing Research Using Online Customer Reviews
Journal Article
Automated Marketing Research Using Online Customer Reviews
2011
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Overview
Market structure analysis is a basic pillar of marketing research. Classic challenges in marketing such as pricing, campaign management, brand positioning, and new product development are rooted in an analysis of product substitutes and complements inferred from market structure. In this article, the authors present a method to support the analysis and visualization of market structure by automatically eliciting product attributes and brand's relative positions from online customer reviews. First, the method uncovers attributes and attribute dimensions using the \"voice of the consumer,\" as reflected in customer reviews, rather than that of manufacturers. Second, the approach runs automatically. Third, the process supports rather than supplants managerial judgment by reinforcing or augmenting attributes and dimensions found through traditional surveys and focus groups. The authors test the approach on six years of customer reviews for digital cameras during a period of rapid market evolution. They analyze and visualize results in several ways, including comparisons with expert buying guides, a laboratory survey, and correspondence analysis of automatically discovered product attributes. The authors evaluate managerial insights drawn from the analysis with respect to proprietary market research reports from the same period analyzing digital imaging products.
Publisher
American Marketing Association,Assoc,SAGE PUBLICATIONS, INC
Subject
/ Studies
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