IDEAS home Printed from https://ideas.repec.org/a/eee/joinma/v47y2019icp84-101.html
   My bibliography  Save this article

Mobile Advertising and Traffic Conversion: The Effects of Front Traffic and Spatial Competition

Author

Listed:
  • Wang, Wei
  • Li, Gang
  • Fung, Richard Y.K.
  • Cheng, T.C.E.

Abstract

As mobile devices gain increasing popularity in consumers' shopping journeys, geofencing mobile advertising is widely used by retailers to convert front traffic, i.e., consumers walking in front of a store, into sales. In the process, retailers face two critical questions, i.e., how to set the fence locations and how to improve the conversion effectiveness with consideration of the advertising costs. We aim to shed light on the issues by developing an analytical model that considers two competitive retailers' mobile advertising strategies in a linear Hotelling city. We first present the equilibrium prices (or fence locations), advertising levels, and profits. In addition, by conducting a comparative static analysis, we ascertain the separate effects and joint effects of front traffic, showing how the traffic changes caused by consumer entry and consumer switching affect the equilibrium outcomes in different competitive environments. Counter-intuitively, we find that higher front traffic, which is usually regarded as being favorable to a retailer, can lead to lower prices, advertising levels, and profits under certain conditions. The results suggest that retailers should craft and adjust mobile advertising strategies in accordance with both consumers' movement tendency and competition intensity. Besides, by comparing the competitive retailers, we provide guidance to retailers on how to make mobile advertising strategies according to traffic advantages or disadvantages.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:joinma:v:47:y:2019:i:c:p:84-101
    DOI: 10.1016/j.intmar.2019.02.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1094996819300477
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.intmar.2019.02.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Olga Perdikaki & Saravanan Kesavan & Jayashankar M. Swaminathan, 2012. "Effect of Traffic on Sales and Conversion Rates of Retail Stores," Manufacturing & Service Operations Management, INFORMS, vol. 14(1), pages 145-162, January.
    2. Rosa-Branca Esteves & Joana Resende, 2016. "Competitive Targeted Advertising with Price Discrimination," Marketing Science, INFORMS, vol. 35(4), pages 576-587, July.
    3. Amit Pazgal & David Soberman & Raphael Thomadsen, 2013. "Profit-Increasing Consumer Exit," Marketing Science, INFORMS, vol. 32(6), pages 998-1008, November.
    4. Yuxin Chen & Ganesh Iyer, 2002. "Research Note Consumer Addressability and Customized Pricing," Marketing Science, INFORMS, vol. 21(2), pages 197-208, November.
    5. Galeotti, Andrea & Moraga-González, José Luis, 2008. "Segmentation, advertising and prices," International Journal of Industrial Organization, Elsevier, vol. 26(5), pages 1106-1119, September.
    6. Ganesh Iyer & David Soberman & J. Miguel Villas-Boas, 2005. "The Targeting of Advertising," Marketing Science, INFORMS, vol. 24(3), pages 461-476, May.
    7. Vidya Mani & Saravanan Kesavan & Jayashankar M. Swaminathan, 2015. "Estimating the Impact of Understaffing on Sales and Profitability in Retail Stores," Production and Operations Management, Production and Operations Management Society, vol. 24(2), pages 201-218, February.
    8. 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.
    9. Edward J. Fox & Steven Postrel & John H. Semple, 2009. "Optimal Category Pricing with Endogenous Store Traffic," Marketing Science, INFORMS, vol. 28(4), pages 709-720, 07-08.
    10. David A. Soberman, 2004. "Research Note: Additional Learning and Implications on the Role of Informative Advertising," Management Science, INFORMS, vol. 50(12), pages 1744-1750, December.
    11. Nada Ben Elhadj-Ben Brahim & Rim Lahmandi-Ayed & Didier Laussel, 2014. "Is Targeted Advertising always Beneficial?," World Scientific Book Chapters, in: Kaddour Hadri & William Mikhail (ed.), Econometric Methods and Their Applications in Finance, Macro and Related Fields, chapter 20, pages 551-585, World Scientific Publishing Co. Pte. Ltd..
    12. Dmitri Kuksov & Ashutosh Prasad & Mohammad Zia, 2017. "In-Store Advertising by Competitors," Marketing Science, INFORMS, vol. 36(3), pages 402-425, May.
    13. Navdeep S. Sahni & S. Christian Wheeler & Pradeep Chintagunta, 2018. "Personalization in Email Marketing: The Role of Noninformative Advertising Content," Marketing Science, INFORMS, vol. 37(2), pages 236-258, March.
    14. Kaifu Zhang & Zsolt Katona, 2012. "Contextual Advertising," Marketing Science, INFORMS, vol. 31(6), pages 980-994, November.
    15. 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.
    16. Howard Hao-Chun Chuang & Rogelio Oliva & Olga Perdikaki, 2016. "Traffic-Based Labor Planning in Retail Stores," Production and Operations Management, Production and Operations Management Society, vol. 25(1), pages 96-113, January.
    17. Justin P. Johnson, 2013. "Targeted advertising and advertising avoidance," RAND Journal of Economics, RAND Corporation, vol. 44(1), pages 128-144, March.
    18. Kostas Bimpikis & Asuman Ozdaglar & Ercan Yildiz, 2016. "Competitive Targeted Advertising Over Networks," Operations Research, INFORMS, vol. 64(3), pages 705-720, June.
    19. Ikuo Ishibashi & Noriaki Matsushima, 2009. "The Existence of Low-End Firms May Help High-End Firms," Marketing Science, INFORMS, vol. 28(1), pages 136-147, 01-02.
    20. repec:ebl:ecbull:v:12:y:2007:i:10:p:1-12 is not listed on IDEAS
    21. 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.
    22. Esther Gal-Or & Mordechai Gal-Or, 2005. "Customized Advertising via a Common Media Distributor," Marketing Science, INFORMS, vol. 24(2), pages 241-253, July.
    23. Yuxin Chen & Xinxin Li & Monic Sun, 2017. "Competitive Mobile Geo Targeting," Marketing Science, INFORMS, vol. 36(5), pages 666-682, September.
    24. Pazgal, Amit & Soberman, David & Thomadsen, Raphael, 2016. "Profit-increasing asymmetric entry," International Journal of Research in Marketing, Elsevier, vol. 33(1), pages 107-122.
    25. Yuxin Chen & Chakravarthi Narasimhan & Z. John Zhang, 2001. "Individual Marketing with Imperfect Targetability," Marketing Science, INFORMS, vol. 20(1), pages 23-41, November.
    26. Esther Gal-Or & Mordechai Gal-Or & Jerrold H. May & William E. Spangler, 2006. "Targeted Advertising Strategies on Television," Management Science, INFORMS, vol. 52(5), pages 713-725, May.
    27. Shun Yin Lam & Mark Vandenbosch & John Hulland & Michael Pearce, 2001. "Evaluating Promotions in Shopping Environments: Decomposing Sales Response into Attraction, Conversion, and Spending Effects," Marketing Science, INFORMS, vol. 20(2), pages 194-215, March.
    28. Lola Esteban & Jose M. Hernandez, 2007. "Strategic Targeted Advertising and Market Fragmentation," Economics Bulletin, AccessEcon, vol. 12(10), pages 1-12.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Miluska Murillo-Zegarra & Carla Ruiz-Mafe & Silvia Sanz-Blas, 2020. "The Effects of Mobile Advertising Alerts and Perceived Value on Continuance Intention for Branded Mobile Apps," Sustainability, MDPI, vol. 12(17), pages 1-20, August.
    2. Terje Trasberg & James Cheshire, 2023. "Spatial and social disparities in the decline of activities during the COVID-19 lockdown in Greater London," Urban Studies, Urban Studies Journal Limited, vol. 60(8), pages 1427-1447, June.
    3. Mulier, Lana & Slabbinck, Hendrik & Vermeir, Iris, 2021. "This Way Up: The Effectiveness of Mobile Vertical Video Marketing," Journal of Interactive Marketing, Elsevier, vol. 55(C), pages 1-15.
    4. Ryo Kato & Takahiro Hoshino & Daisuke Moriwaki & Shintaro Okazaki, 2022. "Mobile Targeting: Exploring the Role of Area Familiarity, Store Knowledge, and Promotional Incentives," Discussion Paper Series DP2022-10, Research Institute for Economics & Business Administration, Kobe University.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhao Jiang & Wu Dan & Liu Jie, 2020. "Distinct role of targeting precision of Internet-based targeted advertising in duopolistic e-business firms’ heterogeneous consumers market," Electronic Commerce Research, Springer, vol. 20(2), pages 453-474, June.
    2. Zhao Jiang & Dan Wu, 2022. "Targeting Precision in Imperfect Targeted Advertising: Implications for the Regulation of Market Structure and Efficiency," SAGE Open, , vol. 12(1), pages 21582440221, March.
    3. Zhang, Jianqiang & He, Xiuli, 2019. "Targeted advertising by asymmetric firms," Omega, Elsevier, vol. 89(C), pages 136-150.
    4. Esteves, Rosa-Branca & Resende, Joana, 2019. "Personalized pricing and advertising: Who are the winners?," International Journal of Industrial Organization, Elsevier, vol. 63(C), pages 239-282.
    5. Li, Sanxi & Sun, Hailin & Yu, Jun, 2023. "Competitive targeted online advertising," International Journal of Industrial Organization, Elsevier, vol. 87(C).
    6. Xiuxian Li & Pengwen Hou & Shuhua Zhang, 2023. "The optimal advertising strategy with differentiated targeted effect consumers," Annals of Operations Research, Springer, vol. 324(1), pages 1295-1336, May.
    7. Li, Changying & Li, Youping & Zhang, Jianhu, 2023. "Targeted advertising with R&D rivalry," Mathematical Social Sciences, Elsevier, vol. 124(C), pages 24-34.
    8. Rosa Brana Esteves & Joana Resende, 2017. "Personalized Pricing with Targeted Advertising: Who are the Winners?," NIPE Working Papers 02/2017, NIPE - Universidade do Minho.
    9. Siemering, Christian, 2023. "A model of endogenous targeting in duopoly," Information Economics and Policy, Elsevier, vol. 64(C).
    10. Roberto Burguet & Vaiva Petrikaitė, 2023. "Targeted advertising and costly consumer search," Economic Inquiry, Western Economic Association International, vol. 61(2), pages 430-450, April.
    11. Andreas Hefti & Shuo Liu, 2016. "Targeted information and limited attention," ECON - Working Papers 230, Department of Economics - University of Zurich, revised Dec 2019.
    12. Sridhar Moorthy & Shervin Shahrokhi Tehrani, 2023. "Targeting Advertising Spending and Price on the Hotelling Line," Marketing Science, INFORMS, vol. 42(6), pages 1057-1079, November.
    13. Sumitro Banerjee & Alex P. Thevaranjan, 2019. "Targeting and salesforce compensation: When sales spill over to unprofitable customers," Quantitative Marketing and Economics (QME), Springer, vol. 17(1), pages 81-104, March.
    14. Lusi Li & Jianqing Chen & Srinivasan Raghunathan, 2018. "Recommender System Rethink: Implications for an Electronic Marketplace with Competing Manufacturers," Information Systems Research, INFORMS, vol. 29(4), pages 1003-1023, December.
    15. Galeotti, Andrea & Moraga-González, José Luis, 2008. "Segmentation, advertising and prices," International Journal of Industrial Organization, Elsevier, vol. 26(5), pages 1106-1119, September.
    16. Yue Shen & Weijun Zhong & Shue Mei, 2023. "Advertising strategies of competing firms considering consumer privacy concerns," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(4), pages 2424-2437, June.
    17. Feng, Cong & Fay, Scott, 2022. "An empirical investigation of forward-looking retailer performance using parking lot traffic data derived from satellite imagery," Journal of Retailing, Elsevier, vol. 98(4), pages 633-646.
    18. Peitz, Martin & Reisinger, Markus, 2014. "The Economics of Internet Media," Working Papers 14-23, University of Mannheim, Department of Economics.
    19. Karle, Heiko & Peitz, Martin, 2017. "De-targeting: Advertising an assortment of products to loss-averse consumers," European Economic Review, Elsevier, vol. 95(C), pages 103-124.
    20. Flavio Pino, 2022. "The microeconomics of data – a survey," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 49(3), pages 635-665, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:joinma:v:47:y:2019:i:c:p:84-101. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-interactive-marketing/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.