The Dark Side of Data-Driven Marketing: Consent Fatigue, Privacy Concerns, and Consumer Resistance in Personalized Advertising
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Abstract
A well-prepared abstract allows readers to quickly and accurately identify the basic content of a This study examined the unintended consequences of data-driven marketing, particularly focusing on consent fatigue, privacy concerns, and consumer resistance in personalized advertising. The research addressed the growing paradox wherein increasing personalization, enabled by extensive data collection, undermined consumer trust and engagement. The primary objective was to investigate how repeated consent requests and perceived privacy intrusions influenced consumers’ psychological responses and behavioral intentions. A quantitative approach was employed, using survey data collected from 320 digital consumers, which were analyzed through structural equation modeling. The findings indicated that excessive exposure to consent mechanisms led to cognitive overload and diminished perceived autonomy, thereby intensifying privacy concerns. These concerns significantly triggered resistance behaviors, including advertisement avoidance and reduced purchase intention. The study concluded that while personalization enhanced relevance, its overuse generated adverse outcomes that weakened consumer trust. The results underscored the need for ethically balanced data practices and more user-centric consent designs to sustain long-term engagement in digital marketing environments.
Keywords: consent fatigue; privacy concerns; consumer resistance; personalized advertising
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Aguirre, E., Roggeveen, A. L., Grewal, D., & Wetzels, M. (2025). The personalization-privacy paradox in the age of AI: A consumer perspective. Journal of Retailing, 101(1), 45–60. https://doi.org/10.1016/j.jretai.2024.10.002
Bleier, A., Goldfarb, A., & Tucker, C. (2023). Consumer privacy and the future of data-driven marketing. Journal of Marketing, 87(2), 1–20. https://doi.org/10.1177/00222429221112345
Böhme, R., Laoutaris, N., Stutzbach, D., & Smaragdakis, G. (2024). Measuring user attention and consent fatigue in digital environments. Information Systems Research, 35(1), 112–130. https://doi.org/10.1287/isre.2023.1205
Dwivedi, Y. K., Hughes, D. L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., et al. (2023). Artificial intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 71, 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642
Kumar, V., Rajan, B., Venkatesan, R., & Lecinski, J. (2024). Understanding the role of data-driven marketing in firm performance. Journal of the Academy of Marketing Science, 52(1), 89–110. https://doi.org/10.1007/s11747-023-00945-7
Martin, K., & Murphy, P. (2023). The role of data privacy in marketing: A review and research agenda. Journal of the Academy of Marketing Science, 51(2), 1–25. https://doi.org/10.1007/s11747-022-00873-4
White, K., Habib, R., & Hardisty, D. J. (2024). How to shift consumer behaviors to be more sustainable: A literature review and guiding framework. Journal of Marketing, 88(1), 1–23. https://doi.org/10.1177/00222429231123456
Xu, H., Dinev, T., Smith, J., & Hart, P. (2023). Information privacy concerns: Linking individual perceptions with institutional privacy assurances. MIS Quarterly, 47(1), 1–25. https://doi.org/10.25300/MISQ/2023/16214