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Competitive Mobile Geo Targeting

Author

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  • Yuxin Chen

    (New York University Shanghai, 200122 Shanghai, China)

  • Xinxin Li

    (University of Connecticut, Storrs, Connecticut 06269)

  • Monic Sun

    (Boston University, Boston, Massachusetts 02215)

Abstract

We investigate in a competitive setting the consequences of mobile geo targeting, the practice of firms targeting consumers based on their real-time locations. A distinct market feature of mobile geo targeting is that a consumer could travel across different locations for an offer that maximizes his total utility. This mobile-deal seeking opportunity motivates firms to carefully balance prices across locations to avoid intrafirm cannibalization, which in turn mitigates interfirm price competition and prevents firms from going into a prisoner’s dilemma. As a result, a firm’s profit can be higher under mobile geo targeting than under uniform or traditional targeted pricing. We extend our model in three different directions: (a) a fraction of consumers are not aware of mobile offers outside of their permanent locations, (b) mobile offers can be collected when consumers travel for other reasons, and (c) firms use both permanent and real-time locations when setting prices. Our findings have important managerial implications for marketers who are interested in optimizing their mobile geo-targeting strategies.

Suggested Citation

  • Yuxin Chen & Xinxin Li & Monic Sun, 2017. "Competitive Mobile Geo Targeting," Marketing Science, INFORMS, vol. 36(5), pages 666-682, September.
  • Handle: RePEc:inm:ormksc:v:36:y:2017:i:5:p:666-682
    DOI: 10.1287/mksc.2017.1030
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    as
    1. Amit Pazgal & David Soberman, 2008. "Behavior-Based Discrimination: Is It a Winning Play, and If So, When?," Marketing Science, INFORMS, vol. 27(6), pages 977-994, 11-12.
    2. Simon P. Anderson & Régis Renault, 2006. "Advertising Content," American Economic Review, American Economic Association, vol. 96(1), pages 93-113, March.
    3. Upender Subramanian & Jagmohan S. Raju & Z. John Zhang, 2014. "The Strategic Value of High-Cost Customers," Management Science, INFORMS, vol. 60(2), pages 494-507, February.
    4. Jiwoong Shin & K. Sudhir, 2010. "A Customer Management Dilemma: When Is It Profitable to Reward One's Own Customers?," Marketing Science, INFORMS, vol. 29(4), pages 671-689, 07-08.
    5. Mark Armstrong & Robert Porter (ed.), 2007. "Handbook of Industrial Organization," Handbook of Industrial Organization, Elsevier, edition 1, volume 3, number 1.
    6. Kenneth S. Corts, 1998. "Third-Degree Price Discrimination in Oligopoly: All-Out Competition and Strategic Commitment," RAND Journal of Economics, The RAND Corporation, vol. 29(2), pages 306-323, Summer.
    7. Thisse, Jacques-Francois & Vives, Xavier, 1988. "On the Strategic Choice of Spatial Price Policy," American Economic Review, American Economic Association, vol. 78(1), pages 122-137, March.
    8. Greg Shaffer & Z. John Zhang, 2002. "Competitive One-to-One Promotions," Management Science, INFORMS, vol. 48(9), pages 1143-1160, September.
    9. J. Miguel Villas-Boas, 1999. "Dynamic Competition with Customer Recognition," RAND Journal of Economics, The RAND Corporation, vol. 30(4), pages 604-631, Winter.
    10. 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.
    11. 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.
    12. Greg Shaffer & Z. John Zhang, 1995. "Competitive Coupon Targeting," Marketing Science, INFORMS, vol. 14(4), pages 395-416.
    13. Spulber, Daniel F., 1989. "Product variety and competitive discounts," Journal of Economic Theory, Elsevier, vol. 48(2), pages 510-525, August.
    14. Juanjuan Zhang, 2011. "The Perils of Behavior-Based Personalization," Marketing Science, INFORMS, vol. 30(1), pages 170-186, 01-02.
    15. Preyas S. Desai, 2001. "Quality Segmentation in Spatial Markets: When Does Cannibalization Affect Product Line Design?," Marketing Science, INFORMS, vol. 20(3), pages 265-283, August.
    16. Drew Fudenberg & Jean Tirole, 2000. "Customer Poaching and Brand Switching," RAND Journal of Economics, The RAND Corporation, vol. 31(4), pages 634-657, Winter.
    17. David Besanko & Jean-Pierre Dubé & Sachin Gupta, 2003. "Competitive Price Discrimination Strategies in a Vertical Channel Using Aggregate Retail Data," Management Science, INFORMS, vol. 49(9), pages 1121-1138, September.
    18. Preyas S. Desai & Devavrat Purohit & Bo Zhou, 2016. "The Strategic Role of Exchange Promotions," Marketing Science, INFORMS, vol. 35(1), pages 93-112, January.
    19. Rajiv Lal & Ram Rao, 1997. "Supermarket Competition: The Case of Every Day Low Pricing," Marketing Science, INFORMS, vol. 16(1), pages 60-80.
    20. Jiwoong Shin & K. Sudhir & Dae-Hee Yoon, 2012. "When to "Fire" Customers: Customer Cost-Based Pricing," Management Science, INFORMS, vol. 58(5), pages 932-947, May.
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    3. Ding, Long & Liu, Peng & Hu, Sen, 2023. "Geo-Fencing or Geo-Conquesting? a strategic analysis of Location-Based coupon under different market structures," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 174(C).
    4. Luo, Meiling & Li, Gang & Chen, Xudong, 2021. "Competitive location-based mobile coupon targeting strategy," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    5. Robert W. Palmatier & Andrew T. Crecelius, 2019. "The “first principles” of marketing strategy," AMS Review, Springer;Academy of Marketing Science, vol. 9(1), pages 5-26, June.
    6. 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).
    7. Wang, Wei & Li, Gang & Fung, Richard Y.K. & Cheng, T.C.E., 2019. "Mobile Advertising and Traffic Conversion: The Effects of Front Traffic and Spatial Competition," Journal of Interactive Marketing, Elsevier, vol. 47(C), pages 84-101.
    8. 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.
    9. Sameer Mehta & Milind Dawande & Ganesh Janakiraman & Vijay Mookerjee, 2020. "Sustaining a Good Impression: Mechanisms for Selling Partitioned Impressions at Ad Exchanges," Information Systems Research, INFORMS, vol. 31(1), pages 126-147, March.
    10. Park, Chang Hee & Park, Young-Hoon & Schweidel, David A., 2018. "The effects of mobile promotions on customer purchase dynamics," International Journal of Research in Marketing, Elsevier, vol. 35(3), pages 453-470.
    11. Irina Baye & Philip Hanspach & Tim Reiz & Geza Sapi, 2024. "Customer Recognition and Mobile Geo-Targeting," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 64(4), pages 615-644, June.
    12. Wan Qin & Peng Yuhan & Yu Cuiting & Huang Yu & Liu Danping, 2023. "Optimal Strategies of the Online-to-Offline Instant Delivery Service of Grocery Retailers," SAGE Open, , vol. 13(4), pages 21582440231, December.
    13. Kurtz, Oliver T. & Wirtz, Bernd W. & Langer, Paul F., 2021. "An Empirical Analysis of Location-Based Mobile Advertising—Determinants, Success Factors, and Moderating Effects," Journal of Interactive Marketing, Elsevier, vol. 54(C), pages 69-85.
    14. Nico Neumann & Catherine E. Tucker & Kumar Subramanyam & John Marshall, 2023. "Is first- or third-party audience data more effective for reaching the ‘right’ customers? The case of IT decision-makers," Quantitative Marketing and Economics (QME), Springer, vol. 21(4), pages 519-571, December.
    15. Manmohan Aseri & Amit Mehra & Vijay Mookerjee & Hong Xu, 2024. "Should an Ad Agency Offer Geoconquesting or Protection from It?," Information Systems Research, INFORMS, vol. 35(2), pages 850-870, June.
    16. Yi-Jen (Ian) Ho & Sanjeev Dewan & Yi-Chun (Chad) Ho, 2020. "Distance and Local Competition in Mobile Geofencing," Information Systems Research, INFORMS, vol. 31(4), pages 1421-1442, December.
    17. 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).
    18. Oussama Benbrahim Ansari, 2021. "Geo-Marketing Segmentation with Deep Learning," Businesses, MDPI, vol. 1(1), pages 1-21, June.
    19. Siyuan Liu & Shaojie Tang & Jiangchuan Zheng & Lionel M. Ni, 2022. "Unsupervised Learning for Human Mobility Behaviors," INFORMS Journal on Computing, INFORMS, vol. 34(3), pages 1565-1586, May.
    20. Xi Li & Zibin Xu, 2022. "Superior Knowledge, Price Discrimination, and Customer Inspection," Marketing Science, INFORMS, vol. 41(6), pages 1097-1117, November.

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