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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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A new bayesian spatial model for brand positioning

TL;DR: A new Bayesian hierarchical spatial model with accompanying MCMC algorithm for estimation that explicitly places constraints on a set of scale parameters in such a way as to model a consumer to use or not use each latent dimension in forming their preferences, while at the same time permitting consumers to differentially weigh each utilized latent dimension.
Journal ArticleDOI

Combining online market research methods for investigating brand alignment: the case of Nespresso

TL;DR: In this paper, the authors proposed a research approach to investigate brand alignment by exploiting textual data from online brand communities in the coffee industry, where consumer brand associations from user-generated content (UGC) and company brand association from firm generated content (FGC) were explored to measure the alignment between brand identity and brand image.
Journal ArticleDOI

Detecting Pain Points from User-Generated Social Media Posts Using Machine Learning

TL;DR: The authors experiment with and evaluate the performance of various machine learning models to automatically detect pain points and pain point types for enhanced customer insights and suggest that firms use pain point profiling, a technique for applying subclasses to the identified pain point messages to gain a deeper understanding of their customers’ concerns.
Journal ArticleDOI

Innocent until proven guilty: suspicion of deception in online reviews

TL;DR: In this article , a new framework for identifying deception in consumer reviews based on interpersonal deception theory and the persuasion knowledge model (PKM) has been proposed to evaluate variables contributing to consumer intentions to purchase after reading deceptive reviews and proposes deception identification cues to be incorporated into the interpersonal communication theoretical framework.
Dissertation

The social influence factor: Impact of online product review characteristics on consumer purchasing decisions

TL;DR: In this paper, the impact of online consumer reviews on consumer purchasing decisions was validated and is of high importance for a company's profitability, monitoring and quick responding to high numbers of reviews which one single product can attract in a short time on various online consumer review platforms is challenging for companies but essential for reputation management and product sales.
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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