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Does Chatter Matter? The Impact of User-Generated Content on Music Sales

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  • Dhar, Vasant
  • Chang, Elaine A.

Abstract

The Internet has enabled a new era of user-generated content, threatening the hegemony of traditional content generators as the primary sources of “legitimate” information. In this study, we examine the usefulness of such content, consisting of data from blogs and social networking sites, in predicting sales in the music industry. We track changes in online chatter for a sample of 108 albums for four weeks before and after their release dates. We identify the significance of variables on the observation date in predicting future album unit sales one, two, and three weeks ahead. Our findings are that future sales are positively correlated with (a) the volume of blog posts about an album, and (b) traditional factors such as whether the album is released by a major label and reviews from mainstream sources like Rolling Stone. More generally, the study provides some preliminary answers for marketing managers interested in assessing the relative importance of the burgeoning number of “Web 2.0” information metrics that are becoming available on the Internet. The study also provides a framework for thinking about when user-generated content influences decision making.

Suggested Citation

  • Dhar, Vasant & Chang, Elaine A., 2009. "Does Chatter Matter? The Impact of User-Generated Content on Music Sales," Journal of Interactive Marketing, Elsevier, vol. 23(4), pages 300-307.
    • Handle: RePEc:eee:joinma:v:23:y:2009:i:4:p:300-307
    DOI: 10.1016/j.intmar.2009.07.004
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    References listed on IDEAS

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    1. Judith Chevalier & Austan Goolsbee, 2003. "Measuring Prices and Price Competition Online: Amazon.com and BarnesandNoble.com," Quantitative Marketing and Economics (QME), Springer, vol. 1(2), pages 203-222, June.
    2. Bucklin, Randolph E. & Sismeiro, Catarina, 2009. "Click Here for Internet Insight: Advances in Clickstream Data Analysis in Marketing," Journal of Interactive Marketing, Elsevier, vol. 23(1), pages 35-48.
    3. Chris Forman & Anindya Ghose & Batia Wiesenfeld, 2008. "Examining the Relationship Between Reviews and Sales: The Role of Reviewer Identity Disclosure in Electronic Markets," Information Systems Research, INFORMS, vol. 19(3), pages 291-313, September.
    4. Neslin, Scott A. & Shankar, Venkatesh, 2009. "Key Issues in Multichannel Customer Management: Current Knowledge and Future Directions," Journal of Interactive Marketing, Elsevier, vol. 23(1), pages 70-81.
    5. Erik Brynjolfsson & Yu (Jeffrey) Hu & Michael D. Smith, 2003. "Consumer Surplus in the Digital Economy: Estimating the Value of Increased Product Variety at Online Booksellers," Management Science, INFORMS, vol. 49(11), pages 1580-1596, November.
    6. Anindya Ghose & Michael D. Smith & Rahul Telang, 2006. "Internet Exchanges for Used Books: An Empirical Analysis of Product Cannibalization and Welfare Impact," Information Systems Research, INFORMS, vol. 17(1), pages 3-19, March.
    7. Werner Antweiler & Murray Z. Frank, 2004. "Is All That Talk Just Noise? The Information Content of Internet Stock Message Boards," Journal of Finance, American Finance Association, vol. 59(3), pages 1259-1294, June.
    8. Fader, Peter S. & Hardie, Bruce G.S., 2009. "Probability Models for Customer-Base Analysis," Journal of Interactive Marketing, Elsevier, vol. 23(1), pages 61-69.
    9. Hoffman, Donna L. & Novak, Thomas P., 2009. "Flow Online: Lessons Learned and Future Prospects," Journal of Interactive Marketing, Elsevier, vol. 23(1), pages 23-34.
    Full references (including those not matched with items on IDEAS)

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