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The differential effects of developers’ app store strategy on the performance of niche and popular mobile apps

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  • Wondwesen Tafesse

    (United Arab Emirates University)

Abstract

This study investigates whether mobile app developers need to adjust their app store strategy depending on the popularity of their mobile apps. The study draws on the long tail perspective to differentiate between niche and popular mobile apps and considers app updating frequency, revenue model, user value of mobile apps, and optimization of the mobile app content as influential elements of app store strategy. It proposes a model linking developers’ app store strategy to mobile app performance, measured through user rating data, with mobile app popularity acting as a moderator. To test its hypotheses, the study estimates a regression model with interaction effects on a dataset of mobile apps from Apple’s App Store (N = 5765). The findings reveal that, relative to popular mobile apps, niche mobile apps need to be managed more proactively through more frequent updates and efficacious optimization of the mobile app content. The findings also show that offering mobile apps in hedonic categories complements a niche positioning strategy. The study contributes a novel insight by documenting how mobile app popularity interacts with app store strategy in determining mobile app performance.

Suggested Citation

  • Wondwesen Tafesse, 2023. "The differential effects of developers’ app store strategy on the performance of niche and popular mobile apps," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(3), pages 317-330, September.
    • Handle: RePEc:pal:jmarka:v:11:y:2023:i:3:d:10.1057_s41270-023-00216-8
    DOI: 10.1057/s41270-023-00216-8
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    References listed on IDEAS

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    1. Hoskins, Jake D., 2020. "The evolving role of hit and niche products in brick-and-mortar retail category assortment planning: A large-scale empirical investigation of U.S. consumer packaged goods," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    2. Tom Fangyun Tan & Serguei Netessine & Lorin Hitt, 2017. "Is Tom Cruise Threatened? An Empirical Study of the Impact of Product Variety on Demand Concentration," Information Systems Research, INFORMS, vol. 28(3), pages 643-660, September.
    3. Erik Brynjolfsson & Yu (Jeffrey) Hu & Duncan Simester, 2011. "Goodbye Pareto Principle, Hello Long Tail: The Effect of Search Costs on the Concentration of Product Sales," Management Science, INFORMS, vol. 57(8), pages 1373-1386, August.
    4. Numminen, Emil & Sällberg, Henrik & Wang, Shujun, 2022. "The impact of app revenue model choices for app revenues: A study of apps since their initial App Store launch," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 325-336.
    5. Tafesse, Wondwesen, 2021. "The effect of app store strategy on app rating: The moderating role of hedonic and utilitarian mobile apps," International Journal of Information Management, Elsevier, vol. 57(C).
    6. Picoto, Winnie Ng & Duarte, Ricardo & Pinto, Inês, 2019. "Uncovering top-ranking factors for mobile apps through a multimethod approach," Journal of Business Research, Elsevier, vol. 101(C), pages 668-674.
    7. Hinz, Oliver & Eckert, Jochen & Skiera, Bernd, 2011. "Drivers of the Long Tail Phenomenon: An Empirical Analysis," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 56544, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    8. Erik Brynjolfsson & Yu (Jeffrey) Hu & Michael D. Smith, 2010. "Research Commentary --- Long Tails vs. Superstars: The Effect of Information Technology on Product Variety and Sales Concentration Patterns," Information Systems Research, INFORMS, vol. 21(4), pages 736-747, December.
    9. Meiseberg, Brinja, 2016. "The Effectiveness of E-tailers’ Communication Practices in Stimulating Sales of Niche versus Popular Products," Journal of Retailing, Elsevier, vol. 92(3), pages 319-332.
    10. Rutz, Oliver & Aravindakshan, Ashwin & Rubel, Olivier, 2019. "Measuring and forecasting mobile game app engagement," International Journal of Research in Marketing, Elsevier, vol. 36(2), pages 185-199.
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