Pengaruh Pemanfaatan Generative AI dan Growth Hacking dalam Pemasaran Digital terhadap User Engagement Melalui Personalisasi Konten pada Platform Edukasi Digital
DOI:
https://doi.org/10.31004/anthor.v5i6.1563Keywords:
Generative Artificial Intelligence, Growth Hacking, Pemasaran Digital, Personalisasi Konten, User Engagement, Platform Edukasi DigitalAbstract
Perkembangan Generative Artificial Intelligence (Generative AI) dan strategi growth hacking telah mendorong transformasi pemasaran digital, khususnya pada platform edukasi digital yang mengandalkan personalisasi untuk meningkatkan keterlibatan pengguna. Penelitian ini bertujuan menganalisis pengaruh Generative AI dan growth hacking terhadap user engagement melalui personalisasi konten. Penelitian menggunakan pendekatan kuantitatif dengan desain eksplanatori. Sampel terdiri atas 200 pengguna platform edukasi digital yang dipilih melalui teknik purposive sampling, dengan kriteria pernah menggunakan platform dan berinteraksi dengan konten pemasaran digital. Data dikumpulkan melalui kuesioner terstruktur dan dianalisis menggunakan Structural Equation Modeling–Partial Least Squares (SEM-PLS). Hasil penelitian menunjukkan bahwa Generative AI (β = 0,421; p < 0,001) dan growth hacking (β = 0,367; p < 0,001) berpengaruh positif dan signifikan terhadap personalisasi konten. Keduanya juga berpengaruh positif dan signifikan terhadap user engagement, masing-masing dengan nilai β = 0,218 (p = 0,001) dan β = 0,196 (p = 0,003). Selain itu, personalisasi konten berpengaruh positif dan signifikan terhadap user engagement (β = 0,487; p < 0,001) serta memediasi pengaruh Generative AI (β = 0,205; p < 0,001) dan growth hacking (β = 0,179; p < 0,001) terhadap user engagement. Model menjelaskan 52,8% variansi personalisasi konten dan 64,7% variansi user engagement. Temuan ini menegaskan pentingnya integrasi teknologi AI, strategi pemasaran berbasis data, dan personalisasi konten dalam meningkatkan keterlibatan serta mempertahankan pengguna platform edukasi digital.
References
Abbas, M., Arnida, A., Younus, M., & Meiyani, E. (2026). Artificial intelligence-driven personalization in digital marketing: Effects on customer experience, purchase intention, and AI-supported managerial responsiveness. Frontiers in Artificial Intelligence, 9, Article 1962501. https://doi.org/10.3389/frai.2026.1962501
Bargoni, A., Santoro, G., Messeni Petruzzelli, A., & Ferraris, A. (2024). Growth hacking: A critical review to clarify its meaning and guide its practical application. Technological Forecasting and Social Change, 200, Article 123111. https://doi.org/10.1016/j.techfore.2023.123111
Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications.
Dangalla, K. K., Gurusinghe, D., & Deyshappriya, R. (2026). AI-driven personalization and customer engagement: A PRISMA-guided systematic literature and bibliometric review of mechanisms, outcomes, and future research agenda. Frontiers in Artificial Intelligence, 9. https://doi.org/10.3389/frai.2026.1804500
Davenport, T. H. (2023). Hyper-personalization for customer engagement with artificial intelligence. Management and Business Review, 3(1–2), 29–36. https://doi.org/10.1177/2694105820230301006
Gao, Y., & Liu, H. (2023). Artificial intelligence-enabled personalization in interactive marketing: A customer journey perspective. Journal of Research in Interactive Marketing. https://doi.org/10.1108/JRIM-01-2022-0023
Grewal, D., Satornino, C. B., Davenport, T., & Guha, A. (2025). How generative AI is shaping the future of marketing. Journal of the Academy of Marketing Science, 53, 702–722. https://doi.org/10.1007/s11747-024-01064-3
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.). SAGE Publications.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43, 115–135. https://doi.org/10.1007/s11747-014-0403-8
Hermann, E., & Puntoni, S. (2025). Generative AI in marketing and principles for ethical design and deployment. Journal of Public Policy & Marketing, 44(3), 332–349. https://doi.org/10.1177/07439156241309874
Kshetri, N., Dwivedi, Y. K., Davenport, T. H., & Panteli, N. (2024). Generative artificial intelligence in marketing: Applications, opportunities, challenges, and research agenda. International Journal of Information Management, 75, Article 102716. https://doi.org/10.1016/j.ijinfomgt.2023.102716
Nitzl, C., Roldán, J. L., & Cepeda, G. (2016). Mediation analysis in partial least squares path modeling: Helping researchers discuss more sophisticated models. Industrial Management & Data Systems, 116(9), 1849–1864. https://doi.org/10.1108/IMDS-07-2015-0302
Pokhrel, S., & Somasiri, N. (2026). Generative AI and customer engagement in digital marketing: A systematic review and evidence map of affective vs. behavioral outcomes, disclosure effects, and human-in-the-loop moderation. Journal of Information Technology Teaching Cases. Advance online publication. https://doi.org/10.1177/27523543261461786
Rezazadeh, A., Kohns, M., Bohnsack, R., António, N., & Rita, P. (2025). Generative AI for growth hacking: How startups use generative AI in their growth strategies. Journal of Business Research, 192, Article 115320. https://doi.org/10.1016/j.jbusres.2025.115320
Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill-building approach (7th ed.). John Wiley & Sons.
Suraña-Sánchez, C., & Aramendia-Muneta, M. E. (2024). Impact of artificial intelligence on customer engagement and advertising engagement: A review and future research agenda. International Journal of Consumer Studies, 48(2), Article e13027. https://doi.org/10.1111/ijcs.13027
Teepapal, T. (2025). AI-driven personalization: Unraveling consumer perceptions in social media engagement. Computers in Human Behavior, 165, Article 108549. https://doi.org/10.1016/j.chb.2024.108549
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Copyright (c) 2026 Jacobus Wiwin Kuswinardi, Any Setyarini, Muhammad Dzaki Hanifa, Ali Ramatni, Fransisca Wuri Wulandari, Amak Yunus Eko Prasetyo

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