Customer Experience as A Mediator Between AI Personalization and Consumer Loyalty: Evidence From Shopee Users

Authors

  • Eko Wardoyo Universitas Putra Bangsa, Indonesia
  • Dani Rizana Universitas Putra Bangsa, Indonesia

DOI:

https://doi.org/10.62794/ijober.v4i3.205

Keywords:

AI personalization, Artificial intelligence, Customer experience, Consumer loyalty, Digital marketing

Abstract

The rapid development of artificial intelligence (AI) has transformed digital marketing practices, particularly through personalization strategies that enhance consumer interactions. This study aims to examine the effect of AI personalization on customer experience and consumer loyalty, as well as the mediating role of customer experience in the relationship between AI personalization and consumer loyalty on digital platforms. This research adopts a quantitative approach using survey data collected from users of digital platforms. The data were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM) to test the proposed relationships among the variables. The results indicate that AI personalization has a positive and significant effect on customer experience and consumer loyalty. Furthermore, customer experience significantly influences consumer loyalty and mediates the relationship between AI personalization and consumer loyalty. These findings highlight that AI-driven personalization can enhance experiential value, which in turn strengthens consumer loyalty. This study contributes to the digital marketing and customer experience literature by providing empirical evidence on how AI-based personalization mechanisms shape consumer loyalty in digital environments.

References

Akahome, J. E. (2026). Omnichannel fashion retail strategies: bridging E-commerce and physical stores for sustainable business growth outcome. Journal of Fashion Marketing and Management: An International Journal, 1–17. https://doi.org/10.1108/JFMM-07-2025-0401

Armutcu, B. (2026). Shaping consumer behavior with artificial intelligence and brand elements. Carbon Balance and Management, 21(1), 53. https://doi.org/10.1186/s13021-026-00406-8

Arora, A., Kapale, R., Sharma, P., Nalavade, M., Saifee, M., & Ukey, M. (2024). The Impact of AI-Driven Personalization on Customer Loyalty: A Meta-Analysis of E-commerce Studies. 2024 2nd DMIHER International Conference on Artificial Intelligence in Healthcare, Education and Industry (IDICAIEI), 1–6. https://doi.org/10.1109/IDICAIEI61867.2024.10842906

Arviollisa, P. A. D., Chan, A., & Nirmalasari, H. (2021). Pengaruh artificial intelligence terhadap customer experience (studi pada pengguna Gojek Bandung, Jawa Barat). AdBispreneur: Jurnal Pemikiran dan Penelitian Administrasi Bisnis dan Kewirausahaan, 6(2), 115–124. https://doi.org/10.24198/adbispreneur.v6i2.31076

Asosiasi Penyelenggara Jasa Internet Indonesia. (2025). Survei penetrasi internet dan perilaku penggunaan internet 2025. APJII.

Bleier, A., & Eisenbeiss, M. (2015). Personalized online advertising effectiveness: the interplay of what, when, and where. Marketing Science, 34(5), 669–688. https://doi.org/10.1287/mksc.2015.0930

Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In Modern methods for business research (pp. 295-336). Psychology Press.

Chotisarn, N., & Phuthong, T. (2025). Impact of artificial intelligence-enabled service attributes on customer satisfaction and loyalty in chain hotels: Evidence from coastal tourism destinations in western Thailand. Social Sciences & Humanities Open, 11, 101306. https://doi.org/https://doi.org/10.1016/j.ssaho.2025.101306

Das, A., Mishra, S., & Mayaluri, Z. L. (2026). Business intelligence, AI-driven personalization, and ethical customer segmentation in e-commerce: A systematic review of consumer trust and digital marketing. SN Business & Economics, 6(3), 84. https://doi.org/10.1007/s43546-026-01079-8

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

Duan, H., Dawod, A. Y., & Wan, G. (2026). The personalization paradox in AI-driven tourism e-commerce: Psychological reactance, threat-substitution, and the moderating role of privacy concerns. Journal of Theoretical and Applied Electronic Commerce Research, 21(4), 127. https://doi.org/10.3390/jtaer21040127

Elízaga, R. (2026). Retail under pressure: omnichannel distribution realignment in Spanish children’s fashion. Journal of Fashion Marketing and Management: An International Journal, 30(4), 746–767. https://doi.org/10.1108/JFMM-07-2025-0392

Ghozali, I. (2014). Structural equation modeling, metode alternatif dengan partial least square (pls) edisi 4. Badan Penerbit Universitas Diponegoro.

Hair, J. F. (2022). A primer on partial least squares structural equation modeling (pls-sem) (third edit). SAGE Publications India.

Hochreiter, V., Benedetto, C., & Loesch, M. (2023). The stimulus-organism-response (s-o-r) paradigm as a guiding principle in environmental psychology: comparison of its usage in consumer behavior and organizational culture and leadership theory. Journal of Entrepreneurship and Business Development, 3, 7–16. https://doi.org/10.18775/jebd.31.5001

Huang, M.-H., & Rust, R. (2018). Artificial intelligence in service. Journal of Service Research, 21, 109467051775245. https://doi.org/10.1177/1094670517752459

Ifekanandu, C. C., Anene, J. N., Iloka, C. B., & Ewuzie, C. O. (2023). Influence of artificial intelligence (AI) on customer experience and loyalty: mediating role of personalization. Shu Ju Cai Ji Yu Chu Li/Journal of Data Acquisition and Processing, 38(3), 1936–1960.

Kotkov, D., Medlar, A., & Glowacka, D. (2023). Rethinking serendipity in recommender systems. Proceedings of the 2023 Conference on Human Information Interaction and Retrieval, 383–387. https://doi.org/10.1145/3576840.3578310

Kotler, & Keller. (2016). Marketing management 15e global edition. Pearson Education Limited.

Kurniawati, D., & Ariyani, V. (2021). Peran mediasi customer engagement dalam customer experience dan customer loyalty: Studi empiris pada pelanggan 3 Coffee Madiun. JIMEK: Jurnal Ilmiah Mahasiswa Ekonomi, 4(2), 277–291.

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

Mashuri, M. (2020). Analisis Dimensi Loyalitas Pelangan Berdasarkan Perspektif Islam. IQTISHADUNA: Jurnal Ilmiah Ekonomi Kita, 9(1), 54–64. https://doi.org/10.46367/iqtishaduna.v9i1.212

Mehrabian, A., & Russell, J. A. (1974). An approach to environmental psychology. The MIT Press.

Mohammad, A. A. S., Mohammad, S. I., Jadallah, H., Vasudevan, A., & Hussain, Z. (2026). The Relationship between Generative AI-Driven Storytelling and Customer Engagement: The Mediating Role of Personalization. International Review of Management and Marketing, 16(1), 199-209. https://doi.org/10.32479/irmm.21427

Mohammadkhani, D., Majedi, N., Biniaz, S. A., & Sarhadi, M. (2026). AI-driven personalization strategies and their impact on consumer engagement in digital markets. Digital Transformation and Administration Innovation, 1–14. https://www.journaldtai.com/index.php/jdtai/article/view/228

Pusat Data Kontan. (2025). Transaksi ecommerce Indonesia 2019–2024 [Infographic]. Kontan. https://pusatdata.kontan.co.id/infografik/88/Transaksi-Ecommerce-Indonesia-2019-2024

Qadri, U. A., Moustafa, A. M. A., & Waqas, M. (2026). When and how AI personalization drives sustainable purchases: The roles of relevance, privacy, and transparency in eco-friendly advertising. Journal of Retailing and Consumer Services, 89, 104592. https://doi.org/10.1016/j.jretconser.2025.104592

Ranjan, A., & Mukherjee, S. (2026). Unveiling the dark side of technology adoption: discontinuance intention through negative expectation and cognitive dissonance theories. Journal of Marketing Theory and Practice, 1–20. https://doi.org/10.1080/10696679.2026.2653978

Schmitt, B. (1999). Experiential Marketing. Journal of Marketing Management, 15(1–3), 53–67. https://doi.org/10.1362/026725799784870496

Shwetha, S., & Afza, N. (2026). Role of AI-Driven Personalized Marketing in Enhancing Customer Engagement and Fostering Brand Loyalty on Online Platforms. In Harnessing AI and Predictive Analytics for Decision-Making and Competitive Advantage (pp. 247–282). IGI Global Scientific Publishing.

Singh, H. (2026). Balancing Personalization and Privacy: Exploring Generation Z’s Perspective on the Personalization-Privacy Paradox in India. Dublin, National College of Ireland.

Unal, U., Bağcı, R. B., & Taşçıoğlu, M. (2026). Multidimensional customer experience in the sustainability context. Management Decision, 64(6), 2206–2229. https://doi.org/10.1108/MD-12-2023-2316

Verhoef, P. C., Lemon, K. N., Parasuraman, A., Roggeveen, A., Tsiros, M., & Schlesinger, L. A. (2009). Customer Experience Creation: Determinants, Dynamics and Management Strategies. Journal of Retailing, 85(1), 31–41. https://doi.org/https://doi.org/10.1016/j.jretai.2008.11.001

Wang, C., Liu, T., Zhu, Y., Wang, H., Wang, X., & Zhao, S. (2023). The influence of consumer perception on purchase intention: Evidence from cross-border E-commerce platforms. Heliyon, 9(11), e21617. https://doi.org/https://doi.org/10.1016/j.heliyon.2023.e21617

Yin, J., Qiu, X., & Wang, Y. (2025). The Impact of AI-Personalized Recommendations on Clicking Intentions: Evidence from Chinese E-Commerce. Journal of Theoretical and Applied Electronic Commerce Research, 20(1), 21. https://doi.org/10.3390/jtaer20010021

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Published

2026-07-24