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Google play is not a long tail market: an empirical analysis of app adoption on the Google play app market

Published:18 March 2013Publication History

ABSTRACT

Distributions of popularity of many online markets have long tails. However, the profitability of the long tail remains in dispute among researchers. With an analysis of an extensive dataset of Google Play transactions, this work first examine the long tail of the mobile application market. Our results suggest that Google Play is more of a "Superstar" market strongly dominated by popular hit products than a "Long-tail" market where unpopular niche products aggregately contribute to a substantial portion of popularity. Blockbuster apps have more downloads, higher ratings and satisfaction ratio. Additionally, we investigate the impact of price on sales of paid apps and find that certain expensive professional apps constitute disproportional large sales. Our findings reveal the unique market structure of the mobile app market, under which the discovery of niche apps is still an intractable task.

References

  1. Gartner: Gartner Says Worldwide Mobile Application Store Revenue Forecast to Surpass 15 Billion in 2011. http://www.gartner.com/it/page.jsp?id=1529214, 1 2011.Google ScholarGoogle Scholar
  2. Google: Google I/O 2012. https://developers.google.com/events/io/, 6 2012.Google ScholarGoogle Scholar
  3. C. Anderson. The Long Tail: Why the Future of Business is Selling Less or More. Hyperion, New York, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. E. Brynjolfsson, Y. J. Hu, and D. Simester. Goodbye Pareto Principle, Hello Long Tail: The Effect of Search Costs on the Concentration of Product Sales. Management Science, 57(8):1373--1386, June 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. E. Brynjolfsson, Y. J. Hu, and M. D. Smith. From Niches to Riches: The Anatomy of the Long Tail. MIT Sloan Management Review, 47(4):67--71, 2006.Google ScholarGoogle Scholar
  6. E. Brynjolfsson, Y. J. Hu, and M. D. Smith. Research Commentary - Long Tails vs. Superstars: The Effect of Information Technology on Product Variety and Sales Concentration Patterns. Information Systems Research, 21(4):736--747, Nov. 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. E. Brynjolfsson, M. D. Smith, and Y. J. Hu. Consumer surplus in the digital economy: Estimating the value of increased product variety at online booksellers. Management Science, 49(11):1580--1596, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. A. Elberse. Should you invest in the long tail? Harvard Business Review, 86(07/08):88--96, July 2008.Google ScholarGoogle Scholar
  9. A. Elberse and F. Oberholzer-Gee. Superstars and underdogs: An examination of the long tail phenomenon in video sales. Marketing Science Institute, 4:49--72, 2007.Google ScholarGoogle Scholar
  10. D. M. Fleder and K. Hosanagar. Blockbuster Culture's Next Rise or Fall: The Impact of Recommender Systems on Sales Diversity. Management Science, 55(5):697--712, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. A. Girardello and F. Michahelles. AppAware: Which mobile Applications Are Hot? In Mobile HCI, pages 431--434, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. S. Goel, A. Broder, E. Gabrilovich, and B. Pang. Anatomy of the Long Tail: Ordinary People with Extraordinary Tastes. In WSDM, pages 201--210, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. G. Lee and T. S. Raghu. Product Portfolio and Mobile Apps Success: Evidence from App Store Market. In AMCIS, pages 444--454, 2011.Google ScholarGoogle Scholar
  14. T. F. Tan and S. Netessine. Is Tom Cruise Threatened? An Empirical Study of the Impact of Product Variety on Demand concentration. In ICIS, pages 1--18, 2011.Google ScholarGoogle Scholar
  15. H. Yin, B. Cui, J. Li, J. Yao, and C. Chen. Challenging the Long Tail Recommendation. PVLDB, 5(9):896--907, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Google play is not a long tail market: an empirical analysis of app adoption on the Google play app market

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      cover image ACM Conferences
      SAC '13: Proceedings of the 28th Annual ACM Symposium on Applied Computing
      March 2013
      2124 pages
      ISBN:9781450316569
      DOI:10.1145/2480362

      Copyright © 2013 ACM

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      New York, NY, United States

      Publication History

      • Published: 18 March 2013

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      SAC '13 Paper Acceptance Rate255of1,063submissions,24%Overall Acceptance Rate1,650of6,669submissions,25%

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