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Product survival analysis for the App Store

Listed author(s):
  • Euy-Young Jung

    ()

  • Chulwoo Baek

    ()

  • Jeong-Dong Lee

    ()

We empirically analyze both free and paid products on the top 100 Free and Grossing charts in the Korea App Store using Weibull parametric survival analysis on the product level. The findings are as follows: First, influences of ranking, customer ratings, and contents size on product survival are different for free and paid products. Customer ratings and contents size critically affect product survival when the price is zero. Second, the early entrant advantage exists in App Store, which results from a ranking system in the App Store and consumer learning. However, the effect of early entrant advantage differs between the Free and Grossing charts; the benefit of early entrant advantage is greater on the Free chart than that on the Grossing chart. Finally, we provide a competitive profit model that is related to free products. Copyright Springer Science+Business Media, LLC 2012

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File URL: http://hdl.handle.net/10.1007/s11002-012-9207-0
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Article provided by Springer in its journal Marketing Letters.

Volume (Year): 23 (2012)
Issue (Month): 4 (December)
Pages: 929-941

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Handle: RePEc:kap:mktlet:v:23:y:2012:i:4:p:929-941
DOI: 10.1007/s11002-012-9207-0
Contact details of provider: Web page: http://www.springer.com

Order Information: Web: http://www.springer.com/business+%26+management/marketing/journal/11002/PS2?detailsPage=societies

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