A Data Set of Brands and Their Characteristics

Brands stand at the core of marketing. They are central to positioning, marketing communications, word of mouth, customer relationships, and firm profits. Brands have been studied from multiple perspectives using a variety of measures and scales. We offer a data set that contains 136 different measures of the brand characteristics for almost 700 of the top U.S. national brands across 16 categories measured by 2010. These measures cover a broad range of characteristics including brand personality, satisfaction, age, attributes related to Rogers' innovation scheme such as complexity, and the four brand equity pillars of Young and Rubicam's BrandAsset Valuator. The data were collected from a combination of sources including an original survey on 4,769 subjects. In addition, we provide quarterly data on the variables available from the BrandAsset Valuator for two and a half years between 2008 and 2010. These data can be used as a building block in research that aims to explore the antecedents of brand perceptions or connect brand characteristics with market and financial outcomes. This paper describes the data and some relevant research questions. Data, as supplemental material, are available at http://dx.doi.org/10.1287/mksc.2014.0861 .

[1]  Ron Shachar,et al.  Brands: The Opiate of the Nonreligious Masses? , 2011, Mark. Sci..

[2]  C. Fornell,et al.  The American Customer Satisfaction Index: Nature, Purpose, and Findings , 1996 .

[3]  J. Aaker,et al.  Dimensions of Brand Personality , 1997 .

[4]  P. Nelson Advertising as Information , 1974, Journal of Political Economy.

[5]  Natalie Mizik,et al.  The Financial Value Impact of Perceptual Brand Attributes , 2008 .

[6]  Ron Shachar,et al.  Advertising , the Matchmaker ¤ , 2001 .

[7]  R. Shachar,et al.  On Brands and Word of Mouth , 2013 .

[8]  Gal Oestreicher-Singer,et al.  The Network Value of Products , 2013 .

[9]  T. RatchfordB New insights about the FCB grid. , 1987 .

[10]  David N. Laband,et al.  Advertising as Information: An Empirical Note , 1986 .

[11]  C. Speier,et al.  The Hidden Minefields in the Adoption of Sales Force Automation Technologies , 2002 .

[12]  Izak Benbasat,et al.  Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation , 1991, Inf. Syst. Res..

[13]  A. Parasuraman,et al.  A Conceptual Model of Service Quality and Its Implications for Future Research , 1985 .

[14]  S. Fournier,et al.  Consumers and Their Brands: Developing Relationship Theory in Consumer Research , 1998 .

[15]  Lyman E. Ostlund Perceived Innovation Attributes as Predictors of Innovativeness , 1974 .

[16]  Florian Stahl,et al.  The Impact of Brand Equity on Customer Acquisition, Retention, and Profit Margin , 2012 .

[17]  R. Oliver Whence Consumer Loyalty? , 1999 .

[18]  Donald R. Lehmann,et al.  Revenue Premium as an Outcome Measure of Brand Equity , 2003 .

[19]  Jan-Benedict E. M. Steenkamp,et al.  Manufacturer and Retailer Strategies to Impact Store Brand Share: Global Integration, Local Adaptation, and Worldwide Learning , 2014, Mark. Sci..

[20]  Alina Sorescu,et al.  Wedded Bliss or Tainted Love? Stock Market Reactions to the Introduction of Cobranded Products , 2013, Mark. Sci..

[21]  E. Rogers,et al.  Diffusion of Innovations , 1964 .

[22]  Marsha L. Richins Negative Word-of-Mouth by Dissatisfied Consumers: A Pilot Study , 1983 .

[23]  E M SteenkampJan-Benedict,et al.  Manufacturer and Retailer Strategies to Impact Store Brand Share , 2014 .