Abstract
This study examines the effectiveness of cross-platform targeted advertising (CPTA), referring to the phenomenon that a platform (the advertiser) cooperates with another platform (the host) to retarget consumers through targeted advertising. Using a game-theoretic framework, we find that, first, the advertiser optimally sets a medium precision for its advertising, because an excessively high precision would discourage the cooperation between the advertiser and the host. Second, the moderate targeting precision motivates the advertiser to adopt CPTA. Third, when the precision level is relatively low, CPTA may make the host better off at the expense of the advertiser, in which case the advertiser would like to advertise by itself. Fourth, CPTA is always good to the host as well as the seller participating in the advertiser’s platform. Finally, there exists a Pareto zone wherein the advertiser, the host and the seller can formulate a win–win–win situation under CPTA.


Similar content being viewed by others
References
Sina (2017). JD Yan Weipeng revealed the plan of Jing X: To transform into a retail infrastructure service provider [EB/OL]. October 17, 2017. from https://video.sina.cn/2017-10-17/detail-ifymuukv2334641.d.html
ProfitWhales. (2022) Why is it vital to use cross-channel marketing on Amazon? [EB/OL]. March 24, 2022. from https://profitwhales.com/archives/articles/amazon-cross-channel-marketing#link1
Johar, M., Mookerjee, V., & Sarkar, S. (2014). Selling vs. profiling: Optimizing the offer set in web-based personalization. Information Systems Research, 25(2), 285–306.
Sahni, N. S., Narayanan, S., & Kalyanam, K. (2019). An experimental investigation of the effects of retargeted advertising: The role of frequency and timing. Marketing Research, 56(3), 401–418.
Jiang, Z. L., Chan, T., Che, H., & Wang, Y. W. (2021). Consumer search and purchase: An empirical investigation of retargeting based on consumer online behaviors. Marketing Science, 40(2), 219–240.
Villas-Boas, J. M., & Yao, Y. J. (2021). A dynamic model of optimal retargeting. Marketing Science, 40(3), 428–458.
DATA. (2022). Cross-channel marketing: How and why Amazon brands should sync ads across different platforms [EB/OL]. March 24, 2022. From https://datamagazine.co.uk/cross-channel-marketing-how-and-why-amazon-brands-should-sync-ads-across-different-platforms/
Sohu. (2017). What is JD trying to do with four “Jing X Projects” in two years? [ [EB/OL]. August 26, 2017. from https://www.sohu.com/a/167399480_116978
Zarouali, B., Ponnet, K., Walrave, M., & Poels, K. (2017). “Do you like cookies?” Adolescents’ skeptical processing of retargeted Facebook-ads and the moderating role of privacy concern and a textual debriefing. Computers in Human Behavior, 69, 157–165.
Goldfarb, A., & Tucker, C. (2011). Privacy regulation and online advertising. Management Science, 57(1), 57–71.
Gal-Or, E., Gal-Or, R., & Penmetsa, N. (2018). The role of user privacy concerns in shaping competition among platforms. Information Systems Research, 29(3), 698–722.
Iyer, G., Soberman, J. D., & Villas-Boas, M. (2005). The targeting of advertising. Marketing Science, 24(3), 461–476.
Zhang, J. Q., Liu, Z. P., & Zhong, W. J. (2016). Attack and defend: The role of targeting in a distribution channel. Marketing Letters, 27, 375–386.
Bleier, A., & Eisenbeiss, M. (2015). Personalized online advertising effectiveness: The interplay of what, when, and where. Marketing Science, 34(5), 669–688.
Zhang, J. Q., Liang, Q., & Huang, J. (2016). Forward advertising: A competitive analysis of new product preannouncement. Information Economics and Policy, 37(DEC), 3–12.
Zhang, J. Q., & He, X. L. (2019). Targeted advertising by asymmetric firms. Omega, 89, 136–150.
Esteves, R. B., & Resende, J. (2016). Competitive targeted advertising with price discrimination. Marketing Science, 35(4), 576–587.
Fong, N. M. (2017). How targeting affects customer search: A field experiment. Management Science, 63(7), 2353–2364.
Zhang, J. Q., Cao, Q. N., & Yue, X. H. (2020). Target or not? Endogenous advertising strategy under competition. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 50(11), 4472–4481.
Liu, W., Liang, Y., Tang, O., Shi, V., & Liu, X. (2021). Cooperate or not? Strategic analysis of platform interactions considering market power and precision marketing. Transportation Research Part E: Logistics and Transportation Review, 154, 102479.
Segijn, C. M., Voorveld, H. A., & Vakeel, K. A. (2021). The role of ad sequence and privacy concerns in personalized advertising: An eye-tracking study into synced advertising effects. Journal of Advertising, 50(3), 320–329.
Tucker, C. E. (2014). Social networks, personalized advertising, and privacy controls. Marketing Research, 51(5), 546–562.
Choi, H., Mela, C. F., Balseiro, S. R., & Leary, A. (2020). Online display advertising markets: A literature review and future directions. Information Systems Research, 31(2), 556–575.
Xu, H., Teo, H. H., Tan, B. C., & Agarwal, R. (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, 23(4), 1342–1363.
Lin, T. (2022). Valuing intrinsic and instrumental preferences for privacy. Marketing Science, 41(4), 663–681.
Goldfarb, A., & Tucker, C. (2011). Online display advertising: Targeting and obtrusiveness. Marketing Science, 30(3), 389–404.
Koh, B., Raghunathan, S., & Nault, B. R. (2017). Is voluntary profiling welfare enhancing? MIS Quarterly, 41(1), 23–41.
Sun, Y. Q., Wang, N., & Shen, X. L. (2021). Calculus interdependency, personality contingency, and causal asymmetry: Toward a configurational privacy calculus model of information disclosure. Information & Management, 58(8), 103556.
Liang, C., Peng, J., Hong, Y. L., & Gu, B. (2022). The hidden costs and benefits of monitoring in the gig economy. Information Systems Research. https://doi.org/10.1287/isre.2022.1130
Milne, G. R., & Gordon, M. E. (1993). Direct mail privacy-efficiency trade-offs within an implied social contract framework. Journal of Public Policy & Marketing, 12(2), 206–215.
Hui, K. L., Teo, H. H., & Lee, S. (2007). The value of privacy assurance: An exploratory field experiment. MIS Quarterly, 31(1), 19–33.
Funding
This work was funded by National Natural Science Foundation of China (71871054, 72171103); Postgraduate Research & Practice Innovation Program of Jiangsu Province (KYCX21_0169); China Scholarship Council (202106090236).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
On behalf of all authors, the corresponding author states that there is no conflict of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Liu, J., Zhong, W., Zhang, J. et al. The effectiveness of cross-platform targeted advertising strategy. Electron Commer Res 24, 2831–2847 (2024). https://doi.org/10.1007/s10660-022-09659-0
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10660-022-09659-0