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The optimal advertising strategy with differentiated targeted effect consumers

Author

Listed:
  • Xiuxian Li

    (Tianjin University of Commerce)

  • Pengwen Hou

    (Tianjin University of Finance and Economics)

  • Shuhua Zhang

    (Tianjin University of Finance and Economics)

Abstract

In this paper, we investigate the optimal advertising strategy for two heterogeneous retailers. To propagandize their products, they have to take the traditional advertising or the targeted one. Then a question appears, what are competitive retailers’ optimal equilibrium advertising strategy when they face with differentiated targeted effect consumers? For that, we design four mutually exclusive models: the traditional advertising for two retailers (the ‘nn’-model); the targeted advertising for one retailer and the traditional advertising for another (the ‘tn’ and the ‘nt’ models); the targeted advertising for both retailers (the ‘tt’-model). First, two retailers engage in Nash game to carry out price competitive under the above four models; then they participate in Stackelberg game to carry out advertising strategy competitive under two different game sequences: Retailer 1 and Retailer 2 as the decision leader respectively. By comparison and analysis, some interesting findings are obtained: when consumers’ expected targeted effect is positive, both retailers benefit from the targeted advertising, and the weaker retailer benefits more than the stronger; the stronger retailer is better off when he is the decision leader than when his competitor is; when consumers’ expected targeted effect is negative and near to zero, its optimal for the dominant retailer to take the traditional advertising and the weaker retailer to take the targeted one; two players get win-win when consumers’ expected targeted effect is low or high enough, and they may fall into lose-lose when consumers’ expected targeted effect is moderate; consumers and social get higher (lower) welfare under ‘tt’-model than under ‘nn’-model when consumers’ expected targeted effect is positive (negative).

Suggested Citation

  • 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.
  • Handle: RePEc:spr:annopr:v:324:y:2023:i:1:d:10.1007_s10479-022-04769-2
    DOI: 10.1007/s10479-022-04769-2
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    References listed on IDEAS

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    1. Tinglong Zhang & Xiongfei Guo & Jin Hu & Ningning Wang, 2020. "Cooperative advertising models under different channel power structure," Annals of Operations Research, Springer, vol. 291(1), pages 1103-1125, August.
    2. Hubert Pun & Gregory D. DeYong, 2017. "Competing with Copycats When Customers Are Strategic," Manufacturing & Service Operations Management, INFORMS, vol. 19(3), pages 403-418, July.
    3. Rosa-Branca Esteves & Joana Resende, 2016. "Competitive Targeted Advertising with Price Discrimination," Marketing Science, INFORMS, vol. 35(4), pages 576-587, July.
    4. Avi Goldfarb, 2014. "What is Different About Online Advertising?," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 44(2), pages 115-129, March.
    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. Randall Lewis & Dan Nguyen, 2015. "Display advertising’s competitive spillovers to consumer search," Quantitative Marketing and Economics (QME), Springer, vol. 13(2), pages 93-115, June.
    8. 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..
    9. Bradley T. Shapiro, 2018. "Positive Spillovers and Free Riding in Advertising of Prescription Pharmaceuticals: The Case of Antidepressants," Journal of Political Economy, University of Chicago Press, vol. 126(1), pages 381-437.
    10. Ambarish Chandra & Ulrich Kaiser, 2014. "Targeted Advertising in Magazine Markets and the Advent of the Internet," Management Science, INFORMS, vol. 60(7), pages 1829-1843, July.
    11. Wei-yu Kevin Chiang & Dilip Chhajed & James D. Hess, 2003. "Direct Marketing, Indirect Profits: A Strategic Analysis of Dual-Channel Supply-Chain Design," Management Science, INFORMS, vol. 49(1), pages 1-20, January.
    12. Justin P. Johnson, 2013. "Targeted advertising and advertising avoidance," RAND Journal of Economics, RAND Corporation, vol. 44(1), pages 128-144, March.
    13. Ramon Casadesus-Masanell & Andres Hervas-Drane, 2015. "Competing with Privacy," Management Science, INFORMS, vol. 61(1), pages 229-246, January.
    14. Kostas Bimpikis & Asuman Ozdaglar & Ercan Yildiz, 2016. "Competitive Targeted Advertising Over Networks," Operations Research, INFORMS, vol. 64(3), pages 705-720, June.
    15. Christopher A. Summers & Robert W. Smith & Rebecca Walker Reczek, 2016. "An Audience of One: Behaviorally Targeted Ads as Implied Social Labels," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 43(1), pages 156-178.
    16. Esther Gal-Or & Ronen Gal-Or & Nabita Penmetsa, 2018. "The Role of User Privacy Concerns in Shaping Competition Among Platforms," Information Systems Research, INFORMS, vol. 29(3), pages 698-722, September.
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