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Should Mobile Marketers Collect Data Other Than Geo‐Location?

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  • Irina Baye
  • Geza Sapi

Abstract

We take today's mobile marketing data landscape as a starting point and consider a duopoly model of third‐degree price discrimination in which firms can complement geo‐location information with data on consumer flexibility of varying quality. We show that, depending on consumer heterogeneity, higher‐quality flexibility data affect profits according to three different patterns. In equilibrium, both firms tend to acquire data if the data are of high quality, while only one acquires data if the data quality is low. Firms are likely to gain from additional data if consumers have similar preferences and/or when data are precise. Although social welfare (weakly) improves, consumers can be harmed.

Suggested Citation

  • Irina Baye & Geza Sapi, 2019. "Should Mobile Marketers Collect Data Other Than Geo‐Location?," Scandinavian Journal of Economics, Wiley Blackwell, vol. 121(2), pages 647-675, April.
  • Handle: RePEc:bla:scandj:v:121:y:2019:i:2:p:647-675
    DOI: 10.1111/sjoe.12275
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    References listed on IDEAS

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    Cited by:

    1. Irina Baye & Geza Sapi, 2020. "Consumer foresight, customer data, and investment in targeting technology," Scottish Journal of Political Economy, Scottish Economic Society, vol. 67(4), pages 363-386, September.
    2. Wan, Qin & Yang, Shilei & Shi, Victor & Qiu, Martin, 2021. "Optimal strategies of mobile targeting promotion under competition," International Journal of Production Economics, Elsevier, vol. 237(C).
    3. Baye, Irina & Reiz, Tim & Sapi, Geza, 2018. "Customer recognition and mobile geo-targeting," DICE Discussion Papers 285, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).

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