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Journal ArticleDOI

Automated Marketing Research Using Online Customer Reviews

Thomas Y. Lee, +1 more
- 01 Oct 2011 - 
- Vol. 48, Iss: 5, pp 881-894
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TLDR
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, using the "voice of the consumer" as reflected in customer reviews.
Abstract
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...

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Citations
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Web Trends: A valuable tool for business research

TL;DR: This paper used Google Trends web search data for economic forecasting and found that the resulting data are both consistent over time and consistent between data series, and validated these series by correlating them with the Interbrand brand equity index and by testing how well the series components predict company revenue.
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Investigating transitive influences on WOM: from the product network perspective

TL;DR: A market-structure-based WOM metric that integrates the product comparison network and transitive influence measures is proposed that outperforms other traditional WOM metrics on predicting product sales, and its unique features are demonstrated.
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Opinion mining in management research: the state of the art and the way forward

TL;DR: The state of the art in sentiment analysis is reviewed, some of the important recent applications of sentiment analysis are summarized, and some more recently proposed techniques to solve a set of problems in specific management domains are discussed.
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Segmenting market structure from multi-channel clickstream data: a novel generative model

TL;DR: A novel sparse influence topic model (SITM) is proposed to segment an overall market into submarkets by leveraging the consideration sets at the individual level and can obtain deep insights of the competitive market structure and the competition power of each car in the market.
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Image-mining: exploring the impact of video content on the success of crowdfunding

TL;DR: An image mining procedure for collecting, identifying, and classifying visual concepts is proposed, and it is found that the “workspace” cluster positively linked to crowdfunding projects’ success, while the ‘event’ cluster negatively was related.
References
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Proceedings ArticleDOI

Mining and summarizing customer reviews

TL;DR: This research aims to mine and to summarize all the customer reviews of a product, and proposes several novel techniques to perform these tasks.
Proceedings ArticleDOI

Automatic acquisition of hyponyms from large text corpora

TL;DR: A set of lexico-syntactic patterns that are easily recognizable, that occur frequently and across text genre boundaries, and that indisputably indicate the lexical relation of interest are identified.
Journal ArticleDOI

Conjoint Analysis in Consumer Research: Issues and Outlook

TL;DR: In this paper, the authors discuss various issues involved in implementing conjoint analysis and describe some new technical developments and application areas for the methodology, which has been applied to a wide variety of problems in consumer research.
Journal ArticleDOI

The Digitization of Word of Mouth: Promise and Challenges of Online Feedback Mechanisms

TL;DR: Online feedback mechanisms harness the bidirectional communication capabilities of the Internet to engineer large-scale, word-of-mouth networks as discussed by the authors, which has potentially important implications for a wide range of management activities such as brand building, customer acquisition and retention, product development and quality assurance.
Journal ArticleDOI

The Voice of the Customer

TL;DR: A self-selection bias in satisfaction measures used commonly for QFD and for corporate incentive programs is demonstrated, demonstrating how a product-development team used the voice of the customer to create a successful new product.
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