The Rise of AI-Driven Marketing: Transforming Consumer Engagement in the Digital Era
Sari
The rapid advancement of AI has revolutionized digital marketing, enabling businesses to enhance consumer engagement through data-driven insights, predictive analytics, and automation. This study explores the role of AI-driven marketing in transforming consumer interactions, focusing on personalization, communication effectiveness, and operational efficiency. Through qualitative research, including expert interviews and case studies, the findings reveal that AI enhances marketing performance by optimizing targeting strategies, improving customer experiences, and increasing return on investment (ROI). However, challenges such as data privacy concerns, algorithmic bias, and regulatory compliance pose significant ethical considerations. While AI-driven marketing offers substantial benefits, its long-term sustainability relies on responsible AI governance, transparency, and ethical best practices. This research contributes to the academic discourse on AI in marketing by providing insights into its applications, benefits, and potential risks, offering recommendations for businesses to maximize AI adoption while mitigating associated challenges.
Keywords: AI-Driven Marketing, Consumer Engagement, Personalization, Predictive Analytics, Automation
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Belanche, D., Casaló, L. V., Flavián, C., & Schepers, J. (2020). Service robots beyond expectations: The role of anthropomorphism and social presence in human-robot interaction. Journal of Business Research, 120, 225-238. https://doi.org/10.1016/j.jbusres.2020.07.045
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101. https://doi.org/10.1191/1478088706qp063oa
Chaffey, D., & Smith, P. (2022). Digital marketing: Strategy, implementation, and practice (8th ed.). Pearson Education.
Creswell, J. W., & Poth, C. N. (2017). Qualitative inquiry and research design: Choosing among five approaches (4th ed.). SAGE Publications.
Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48(1), 24-42. https://doi.org/10.1007/s11747-019-00696-0
Davenport, T., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108-116.
Denzin, N. K., & Lincoln, Y. S. (2018). The SAGE handbook of qualitative research (5th ed.). SAGE Publications.
Eisenhardt, K. M. (1989). Building theories from case study research. Academy of Management Review, 14(4), 532-550. https://doi.org/10.5465/amr.1989.4308385
Gioia, D. A., Corley, K. G., & Hamilton, A. L. (2013). Seeking qualitative rigor in inductive research: Notes on the Gioia methodology. Organizational Research Methods, 16(1), 15-31. https://doi.org/10.1177/1094428112452151
Grewal, D., Hulland, J., Kopalle, P. K., & Karahanna, E. (2020). The future of technology and marketing: A multidisciplinary perspective. Journal of Marketing, 84(1), 1-28. https://doi.org/10.1177/0022242919895300
Huang, M.-H., & Rust, R. T. (2021). Engaged to a robot? The role of AI in service. Journal of Service Research, 24(1), 30-41. https://doi.org/10.1177/1094670520902266
Jarrahi, M. H. (2018). Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making. Business Horizons, 61(4), 577-586. https://doi.org/10.1016/j.bushor.2018.03.007
Kaplan, A., & Haenlein, M. (2019). Rethinking AI: A revolution in the field of marketing. Business Horizons, 62(1), 45-54. https://doi.org/10.1016/j.bushor.2018.08.008
Kietzmann, J., Paschen, J., & Treen, E. (2018). Artificial intelligence in advertising: How marketers can leverage artificial intelligence along the consumer journey. Journal of Advertising Research, 58(3), 263-267. https://doi.org/10.2501/JAR-2018-035
Kumar, V., Rajan, B., Venkatesan, R., & Lecinski, J. (2019). Understanding the role of AI in marketing. Journal of the Academy of Marketing Science, 47(1), 136-154. https://doi.org/10.1007/s11747-018-0603-2
Lemon, K. N., & Verhoef, P. C. (2016). Understanding customer experience throughout the customer journey. Journal of Marketing, 80(6), 69-96. https://doi.org/10.1509/jm.15.0420
Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. SAGE Publications.
Mogaji, E., Nguyen, N. P., & Nguyen, T. M. (2021). Digital transformation in financial services: The impact of AI on consumer behavior. Technological Forecasting and Social Change, 168, 120736. https://doi.org/10.1016/j.techfore.2021.120736
Paschen, J., Wilson, M., & Ferreira, J. J. (2020). The future of AI-based marketing: Transforming customer engagement. Journal of Business Research, 116, 183-192. https://doi.org/10.1016/j.jbusres.2020.04.018
Wirtz, J., Patterson, P. G., Kunz, W. H., Gruber, T., Lu, V. N., Paluch, S., & Martins, A. (2018). Brave new world: Service robots in the frontline. Journal of Service Management, 29(5), 907-931. https://doi.org/10.1108/JOSM-04-2018-0119
Yin, R. K. (2018). Case study research and applications: Design and methods (6th ed.). SAGE Publications.
DOI: https://doi.org/10.37531/yum.v8i1.9015
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