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Personalized mobile marketing strategies

Author

Listed:
  • Siliang Tong

    (Temple University)

  • Xueming Luo

    (Temple University)

  • Bo Xu

    (Fudan University)

Abstract

The prevalence of mobile usage data has provided unprecedented insights into customer hyper-context information and brings ample opportunities for practitioners to design more pertinent marketing strategies and timely targeted campaigns. Granular unstructured mobile data also stimulate new research frontiers. This paper integrates the traditional marketing mix model to develop a framework of personalized mobile marketing strategies. The framework incorporates personalization into the center of mobile product, mobile place, mobile price, mobile promotion, and mobile prediction. Extant studies in mobile marketing are reviewed under the proposed framework, and promising topics about personalized mobile marketing are discussed for future research.

Suggested Citation

  • Siliang Tong & Xueming Luo & Bo Xu, 2020. "Personalized mobile marketing strategies," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 64-78, January.
    • Handle: RePEc:spr:joamsc:v:48:y:2020:i:1:d:10.1007_s11747-019-00693-3
    DOI: 10.1007/s11747-019-00693-3
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    1. Feng Wang & Li Zuo & Zhi Yang & Yueyan Wu, 2019. "Mobile searching versus online searching: differential effects of paid search keywords on direct and indirect sales," Journal of the Academy of Marketing Science, Springer, vol. 47(6), pages 1151-1165, November.
    2. Grewal, Dhruv & Roggeveen, Anne L. & Nordfält, Jens, 2017. "The Future of Retailing," Journal of Retailing, Elsevier, vol. 93(1), pages 1-6.
    3. Anindya Ghose & Avi Goldfarb & Sang Pil Han, 2013. "How Is the Mobile Internet Different? Search Costs and Local Activities," Information Systems Research, INFORMS, vol. 24(3), pages 613-631, September.
    4. Kannan, P.K. & Li, Hongshuang “Alice”, 2017. "Digital marketing: A framework, review and research agenda," International Journal of Research in Marketing, Elsevier, vol. 34(1), pages 22-45.
    5. Chenxi Li & Xueming Luo & Cheng Zhang, 2017. "Sunny, Rainy, and Cloudy with a Chance of Mobile Promotion Effectiveness," Marketing Science, INFORMS, vol. 36(5), pages 762-779, September.
    6. Nicholas Economides & Przemyslaw Jeziorski, 2017. "Mobile Money in Tanzania," Marketing Science, INFORMS, vol. 36(6), pages 815-837, November.
    7. Liran Einav & Jonathan Levin & Igor Popov & Neel Sundaresan, 2014. "Growth, Adoption, and Use of Mobile E-Commerce," American Economic Review, American Economic Association, vol. 104(5), pages 489-494, May.
    8. Wang, Rebecca Jen-Hui & Malthouse, Edward C. & Krishnamurthi, Lakshman, 2015. "On the Go: How Mobile Shopping Affects Customer Purchase Behavior," Journal of Retailing, Elsevier, vol. 91(2), pages 217-234.
    9. Anindya Ghose & Sang Pil Han, 2014. "Estimating Demand for Mobile Applications in the New Economy," Management Science, INFORMS, vol. 60(6), pages 1470-1488, June.
    10. Grewal, Dhruv & Bart, Yakov & Spann, Martin & Zubcsek, Peter Pal, 2016. "Mobile Advertising: A Framework and Research Agenda," Journal of Interactive Marketing, Elsevier, vol. 34(C), pages 3-14.
    11. Dickinger, Astrid & Kleijnen, Mirella, 2008. "Coupons going wireless: Determinants of consumer intentions to redeem mobile coupons," Journal of Interactive Marketing, Elsevier, vol. 22(3), pages 23-39.
    12. Foster Provost & David Martens & Alan Murray, 2015. "Finding Similar Mobile Consumers with a Privacy-Friendly Geosocial Design," Information Systems Research, INFORMS, vol. 26(2), pages 243-265, June.
    13. Aguirre, Elizabeth & Mahr, Dominik & Grewal, Dhruv & de Ruyter, Ko & Wetzels, Martin, 2015. "Unraveling the Personalization Paradox: The Effect of Information Collection and Trust-Building Strategies on Online Advertisement Effectiveness," Journal of Retailing, Elsevier, vol. 91(1), pages 34-49.
    14. Jean-Pierre Dubé & Zheng Fang & Nathan Fong & Xueming Luo, 2017. "Competitive Price Targeting with Smartphone Coupons," Marketing Science, INFORMS, vol. 36(6), pages 944-975, November.
    15. Sam Ransbotham & Nicholas H. Lurie & Hongju Liu, 2019. "Creation and Consumption of Mobile Word of Mouth: How Are Mobile Reviews Different?," Marketing Science, INFORMS, vol. 38(5), pages 773-792, September.
    16. Heng Xu & Hock-Hai Teo & Bernard C. Y. Tan & Ritu Agarwal, 2012. "Research Note ---Effects of Individual Self-Protection, Industry Self-Regulation, and Government Regulation on Privacy Concerns: A Study of Location-Based Services," Information Systems Research, INFORMS, vol. 23(4), pages 1342-1363, December.
    17. Kaiquan Xu & Jason Chan & Anindya Ghose & Sang Pil Han, 2017. "Battle of the Channels: The Impact of Tablets on Digital Commerce," Management Science, INFORMS, vol. 63(5), pages 1469-1492, May.
    18. Kim, Su Jung & Wang, Rebecca Jen-Hui & Malthouse, Edward C., 2015. "The Effects of Adopting and Using a Brand's Mobile Application on Customers' Subsequent Purchase Behavior," Journal of Interactive Marketing, Elsevier, vol. 31(C), pages 28-41.
    19. Anindya Ghose & Sang Pil Han, 2011. "An Empirical Analysis of User Content Generation and Usage Behavior on the Mobile Internet," Management Science, INFORMS, vol. 57(9), pages 1671-1691, September.
    20. Michelle Andrews & Xueming Luo & Zheng Fang & Anindya Ghose, 2016. "Mobile Ad Effectiveness: Hyper-Contextual Targeting with Crowdedness," Marketing Science, INFORMS, vol. 35(2), pages 218-233, March.
    21. Shankar, Venkatesh & Balasubramanian, Sridhar, 2009. "Mobile Marketing: A Synthesis and Prognosis," Journal of Interactive Marketing, Elsevier, vol. 23(2), pages 118-129.
    22. Andrews, Michelle & Goehring, Jody & Hui, Sam & Pancras, Joseph & Thornswood, Lance, 2016. "Mobile Promotions: A Framework and Research Priorities," Journal of Interactive Marketing, Elsevier, vol. 34(C), pages 15-24.
    23. Shankar, Venkatesh & Venkatesh, Alladi & Hofacker, Charles & Naik, Prasad, 2010. "Mobile Marketing in the Retailing Environment: Current Insights and Future Research Avenues," Journal of Interactive Marketing, Elsevier, vol. 24(2), pages 111-120.
    24. Shankar, Venkatesh & Kleijnen, Mirella & Ramanathan, Suresh & Rizley, Ross & Holland, Steve & Morrissey, Shawn, 2016. "Mobile Shopper Marketing: Key Issues, Current Insights, and Future Research Avenues," Journal of Interactive Marketing, Elsevier, vol. 34(C), pages 37-48.
    25. Quan Wang & Beibei Li & Param Vir Singh, 2018. "Copycats vs. Original Mobile Apps: A Machine Learning Copycat-Detection Method and Empirical Analysis," Information Systems Research, INFORMS, vol. 29(2), pages 273-291, June.
    26. Hofacker, Charles F. & de Ruyter, Ko & Lurie, Nicholas H. & Manchanda, Puneet & Donaldson, Jeff, 2016. "Gamification and Mobile Marketing Effectiveness," Journal of Interactive Marketing, Elsevier, vol. 34(C), pages 25-36.
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