Model Digital Marketing Berbasis AI dan Big Data Analytics untuk Customer Engagement
DOI:
https://doi.org/10.33998/jumanage.2026.5.2.2942Abstrak
Digital marketing telah mengubah cara perusahaan membangun hubungan dengan pelanggan melalui data, konten, interaksi, dan pengalaman digital. Artificial Intelligence dan Big Data Analytics menjadi pendukung penting dalam memperkuat kapabilitas digital marketing, khususnya dalam pengolahan data pelanggan, prediksi perilaku, personalisasi, optimalisasi kampanye, dan interaksi secara real-time. Penelitian ini bertujuan untuk mengembangkan model konseptual digital marketing berbasis Artificial Intelligence dan Big Data Analytics dalam meningkatkan customer engagement. Penelitian ini menggunakan pendekatan kualitatif konseptual melalui kajian literatur dengan mensintesis penelitian terdahulu mengenai digital marketing, Artificial Intelligence, Big Data Analytics, personalisasi, customer experience, dan customer engagement. Hasil penelitian menghasilkan model konseptual yang menjelaskan bahwa Artificial Intelligence dan Big Data Analytics memperkuat kapabilitas digital marketing berbasis data, yang kemudian mendorong personalisasi digital marketing dan customer experience. Customer experience yang positif diposisikan sebagai faktor yang meningkatkan customer engagement pada dimensi kognitif, emosional, dan perilaku. Penelitian ini berkontribusi pada literatur digital marketing dengan mengintegrasikan kapabilitas pemasaran berbasis teknologi, personalisasi, dan customer experience ke dalam model konseptual yang berorientasi pada customer engagement.
Kata kunci : artificial intelligence; big data analytics; customer engagement; digital marketing
Unduhan
Referensi
Bag, S., Srivastava, G., Bashir, M. M. A., Kumari, S., Giannakis, M., & Chowdhury, A. H. (2022). Journey of customers in this digital era: Understanding the role of artificial intelligence technologies in user engagement and conversion. Benchmarking: An International Journal, 29(7), 2074-2098. https://doi.org/10.1108/BIJ-07-2021-0415
Blasco-Arcas, L., Lee, H. H. M., Kastanakis, M. N., Alcaniz, M., & Reyes-Menendez, A. (2022). The role of consumer data in marketing: A research agenda. Journal of Business Research, 146, 436-452. https://doi.org/10.1016/j.jbusres.2022.03.054
Chen, Y., & Prentice, C. (2025). Integrating artificial intelligence and customer experience. Australasian Marketing Journal, 33(2), 141-153. https://doi.org/10.1177/14413582241252904
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
Dwivedi, Y. K., Ismagilova, E., Hughes, D. L., Carlson, J., Filieri, R., Jacobson, J., Jain, V., Karjaluoto, H., Kefi, H., Krishen, A. S., Kumar, V., Rahman, M. M., Raman, R., Rauschnabel, P. A., Rowley, J., Salo, J., Tran, G. A., & Wang, Y. (2021). Setting the future of digital and social media marketing research: Perspectives and research propositions. International Journal of Information Management, 59, 102168. https://doi.org/10.1016/j.ijinfomgt.2020.102168
Gao, Y., & Liu, H. (2023). Artificial intelligence-enabled personalization in interactive marketing: A customer journey perspective. Journal of Research in Interactive Marketing, 17(5), 663-680. https://doi.org/10.1108/JRIM-01-2022-0023
Guha, A., Grewal, D., Kopalle, P. K., Haenlein, M., Schneider, M. J., Jung, H., Moustafa, R., Hegde, D. R., & Hawkins, G. (2021). How artificial intelligence will affect the future of retailing. Journal of Retailing, 97(1), 28-41. https://doi.org/10.1016/j.jretai.2021.01.005
Hollebeek, L. D., Glynn, M. S., & Brodie, R. J. (2014). Consumer brand engagement in social media: Conceptualization, scale development and validation. Journal of Interactive Marketing, 28(2), 149-165. https://doi.org/10.1016/j.intmar.2013.12.002
Hollebeek, L. D., & Macky, K. (2019). Digital content marketing's role in fostering consumer engagement, trust, and value: Framework, fundamental propositions, and implications. Journal of Interactive Marketing, 45, 27-41. https://doi.org/10.1016/j.intmar.2018.07.003
Huang, M. H., & Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49(1), 30-50. https://doi.org/10.1007/s11747-020-00749-9
Jaakkola, E. (2020). Designing conceptual articles: Four approaches. AMS Review, 10, 18-26. https://doi.org/10.1007/s13162-020-00161-0
Kamel, M. A. (2023). Big data analytics and market performance: The roles of customization and personalization strategies and competitive intensity. Journal of Enterprise Information Management, 36(6), 1727-1749. https://doi.org/10.1108/JEIM-04-2022-0114
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
Li, F., Larimo, J., & Leonidou, L. C. (2021). Social media marketing strategy: Definition, conceptualization, taxonomy, validation, and future agenda. Journal of the Academy of Marketing Science, 49(1), 51-70. https://doi.org/10.1007/s11747-020-00733-3
Mustak, M., Salminen, J., Ple, L., & Wirtz, J. (2021). Artificial intelligence in marketing: Topic modeling, scientometric analysis, and research agenda. Journal of Business Research, 124, 389-404. https://doi.org/10.1016/j.jbusres.2020.10.044
Pascucci, F., Savelli, E., & Gistri, G. (2023). How digital technologies reshape marketing: Evidence from a qualitative investigation. Italian Journal of Marketing, 2023, 27-58. https://doi.org/10.1007/s43039-023-00063-6
Saura, J. R. (2021). Using data sciences in digital marketing: Framework, methods, and performance metrics. Journal of Innovation & Knowledge, 6(2), 92-102. https://doi.org/10.1016/j.jik.2020.08.001
Saura, J. R., Ribeiro-Soriano, D., & Palacios-Marques, D. (2021). From user-generated data to data-driven innovation: A research agenda to understand user privacy in digital markets. International Journal of Information Management, 60, 102331. https://doi.org/10.1016/j.ijinfomgt.2021.102331
Saura, J. R., Skare, V., & Ozretic Dosen, D. (2024). Is AI-based digital marketing ethical? Assessing a new data privacy paradox. Journal of Innovation & Knowledge, 9(4), 100597. https://doi.org/10.1016/j.jik.2024.100597
Srivastava, R., Gupta, P., Kumar, H., & Tuli, N. (2025). Digital customer engagement: A systematic literature review and research agenda. Australian Journal of Management, 50(1), 220-245. https://doi.org/10.1177/03128962231177096
Verhoef, P. C., Broekhuizen, T., Bart, Y., Bhattacharya, A., Qi Dong, J., Fabian, N., & Haenlein, M. (2021). Digital transformation: A multidisciplinary reflection and research agenda. Journal of Business Research, 122, 889-901. https://doi.org/10.1016/j.jbusres.2019.09.022
Vinerean, S., & Opreana, A. (2021). Measuring customer engagement in social media marketing: A higher-order model. Journal of Theoretical and Applied Electronic Commerce Research, 16(7), 2633-2654. https://doi.org/10.3390/jtaer16070145
Vlacic, B., Corbo, L., Costa e Silva, S., & Dabic, M. (2021). The evolving role of artificial intelligence in marketing: A review and research agenda. Journal of Business Research, 128, 187-203. https://doi.org/10.1016/j.jbusres.2021.01.055
Volkmar, G., Fischer, P. M., & Reinecke, S. (2022). Artificial intelligence and machine learning: Exploring drivers, barriers, and future developments in marketing management. Journal of Business Research, 149, 599-614. https://doi.org/10.1016/j.jbusres.2022.04.007
Ziakis, C., & Vlachopoulou, M. (2023). Artificial intelligence in digital marketing: Insights from a comprehensive review. Information, 14(12), 664. https://doi.org/10.3390/info14120664

