Role of AI-Based Marketing Activities in Shaping Brand Experience, Brand Preference, and Brand Loyalty

Authors

  • Bilal Ahmed Masters of Business Administration, Marketing, Karachi University Business School (KUBS), Faculty of Management & Administrative Sciences, University of Karachi, Karachi, Sindh, Pakistan.
  • Dr. Sohaib Uz Zaman Assistant Professor, Karachi University Business School (KUBS), Faculty of Management & Administrative Sciences, University of Karachi, Karachi, Sindh, Pakistan. https://orcid.org/0000-0002-0135-3292
  • Syed Hasnain Alam Karachi University Business School (KUBS), Faculty of Management & Administrative Sciences, University of Karachi, Karachi, Sindh, Pakistan. https://orcid.org/0000-0002-5008-7365

DOI:

https://doi.org/10.55737/qjssh.vi-i.25320

Keywords:

AI-driven Marketing, Brand Experience, Brand Preference, Brand Loyalty, Consumer Engagement, Personalization, Artificial Intelligence

Abstract

AI has evolved at a breakneck pace, enabling a paradigm shift in digital marketing, where customer engagement has taken a new turn, and brands are reaching out to consumers in ways never before possible sharing a unique experience. This personalized engagement boosts brand favorability and loyalty through AI marketing solutions, such as personalized suggestions, chatbot interactions, and predictive analytics. Drawing on empirical evidence, this study looks at the effects of AI-led marketing on brand experience, preference, and loyalty, thereby contributing to our understanding of consumer engagement with AI-led marketing. A quantitative research approach of the study was employed in the study using a closed-ended structured questionnaire administered to 210 respondents. Key study variables were summarized by descriptive statistics, and Pearson's correlation analysis was used to measure relationships among AI-driven marketing, brand experience, brand preference, and brand loyalty. The direct effects of AI-based marketing strategies were evaluated using multiple regression analysis, and mediation effects of brand experience were tested using Structural Equation Modeling (SEM). The study shows that the brand experience induced by AI-driven marketing can significantly positively affect brand preference and brand loyalty. Through the mediation analysis, brand experience is the defining factor that links AI-based marketing and brand preference and loyalty. The study emphasizes AI's role in building consumer engagement and long-term brand relationships. It also explains some of the focus areas to be explored by future research like longitudinal effects, cultural differences, and ethical concerns while integrating emerging technologies such as augmented and virtual reality.

Author Biography

  • Bilal Ahmed, Masters of Business Administration, Marketing, Karachi University Business School (KUBS), Faculty of Management & Administrative Sciences, University of Karachi, Karachi, Sindh, Pakistan.

    Corresponding Author: bilalkhan.10@yahoo.com

References

Aaker, J. L. (1997). Dimensions of brand personality. Journal of Marketing Research, 34(3), 347-356. https://doi.org/10.1177/002224379703400304

Ahmad, S. (2024). The Impact of Decision Making by Charismatic leadership in conflicted and tangled circumstances: Impact of Decision making by Charismatic leadership in conflicted and tangled circumstances. KASBIT Business Journal, 17(1). https://www.kasbitoric.com/index.php/kbj/article/view/403.

Ahmed, S. M. M., Owais, M., Raza, M., Nadeem, Q., & Ahmed, B. (2025). The Impact of AI-Driven Personalization on Consumer Engagement and Brand Loyalty. Qlantic Journal of Social Sciences, 6(1), 311–323. https://doi.org/10.55737/qjss.v-iv.24313

Akdim, K., & Casaló, L. V. (2023). Perceived value of AI-based recommendations service: the case of voice assistants. Service Business, 17(1), 81–112. https://doi.org/10.1007/s11628-023-00527-x

Bae, B. R., & Kim, S.-E. (2023). Effect of brand experiences on brand loyalty mediated by brand love: the moderated mediation role of brand trust. Asia Pacific Journal of Marketing and Logistics, 35(10). https://doi.org/10.1108/apjml-03-2022-0203

Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173-1182. https://doi.org/10.1037//0022-3514.51.6.1173

Brakus, J. J., Schmitt, B. H., & Zarantonello, L. (2009). Brand experience: What is it? How is it measured? Does it affect loyalty? Journal of Marketing, 73(3), 52-68. https://doi.org/10.1509/jmkg.73.3.052

Butt, S., Umair, T., & Tajammal, R. (2024). Nexus between Key Determinants of Service Quality and Students’ Satisfaction in Higher Education Institutions (HEIs). Annals of Human and Social Sciences, 5(2), 659-671. https://doi.org/10.35484/ahss.2024(5-ii-s)62

Butt, S., & Umair, T. (2023). Nexus among online banking services, perceived value and consumer’s post-adoption behaviour. Journal of Asian Development Studies, 12(4), 1016-1032. https://doi.org/10.62345/jads.2023.12.4.81

Byrne, R. M. (2016). Counterfactual thought. Annual Review of Psychology, 67(1), 135-157. https://doi.org/10.1146/annurev-psych-122414-033249

Campbell, C., Sands, S., Ferraro, C., Tsao, H. Y., & Mavrommatis, A. (2019). From data to action: How marketers can leverage AI. Journal of Business Research, 100, 254-265. https://doi.org/10.1016/j.jbusres.2018.09.009

Chaffey, D., & Smith, P. R. (2022). Digital Marketing Excellence Planning, Optimizing and Integrating Online Marketing. Taylor & Francis. - References - Scientific Research Publishing. (2022). Scirp.org. https://doi.org/10.4324/9781003009498

Chatterjee, S., Chaudhuri, R., Kamble, S., Gupta, S., & Uthayasankar Sivarajah. (2022). Adoption of Artificial Intelligence and Cutting-Edge Technologies for Production System Sustainability: A Moderator-Mediation Analysis. Information Systems Frontiers, 25(5), 1779–1794. https://doi.org/10.1007/s10796-022-10317-x

Chen, H., Zhang, Y., & Wang, L. (2023). AI-driven marketing strategies and consumer engagement. Journal of Business Research, 156, 113245. https://doi.org/10.1016/j.jbusres.2023.113245

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

Gonzalez, M. F., Liu, W., Lei Shirase, Tomczak, D. L., Lobbe, C. E., Justenhoven, R., & Martin, N. R. (2022). Allying with AI? Reactions toward human-based, AI/ML-based, and augmented hiring processes. Computers in Human Behavior, 130, 107179–107179. https://doi.org/10.1016/j.chb.2022.107179

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/10.1177/0022242919894002

Gursoy, D., Chi, C. G., & Lu, L. (2019). Artificial intelligence-based customer service: A study of antecedents and outcomes. International Journal of Hospitality Management, 83, 21-30.

Haenlein, M., Anadol, E., Farnsworth, T., Hugo, H., Hunichen, J., & Welte, D. (2022). Navigating the impact of Artificial Intelligence in business. California Management Review, 64(3), 5-21. https://doi.org/10.1177/00081256211073464

Hair, J. F., Howard, M. C., & Nitzl, C. (2020). Assessing measurement model quality in PLS-SEM using confirmatory composite analysis. Journal of Business Research, 109, 101-110. https://doi.org/10.1016/j.jbusres.2019.11.069

Haque, A., Akther, N., Khan, I., Agarwal, K., & Uddin, N. (2024). Artificial intelligence in retail marketing: Research agenda based on bibliometric reflection and content analysis (2000–2023). Informatics, 11(4), 74. https://doi.org/10.3390/informatics11040074

Henderson, J., Norris, C., & Robertson Hornsby, E. (2024). Henderson et al. HIGHER EDUCATION’S CORE COMPETENCE Refining Higher Education’s Core Competence and Its Shaping Influence on the Future of Learning and Work. 9(2). https://files.eric.ed.gov/fulltext/EJ1436050.pdf

Homburg, C., Jozić, D., & Kuehnl, C. (2017). Customer experience management: Toward implementing an evolving marketing concept. Journal of the Academy of Marketing Science, 45(3), 377-401. https://doi.org/10.1007/s11747-015-0460-7

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

Kaplan, A., & Haenlein, M. (2019). Rethinking artificial intelligence: Risks and opportunities for marketing. Journal of Business Research, 97, 31-46.

Kotler, P., Kartajaya, H., & Setiawan, I. (2021). Marketing 5.0: Technology for humanity. Wiley.

Lee, M. C. M., Helana Scheepers, Lui, A. K. H., & Ngai, E. W. T. (2023). The implementation of artificial intelligence in organizations: A systematic literature review. Information & Management, 60(5), 103816–103816. https://doi.org/10.1016/j.im.2023.103816

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

Liu, Y., Lyu, C., Zhang, Y., Liu, Z., Yu, W., & Qu, X. (2021). DeepTSP: Deep traffic state prediction model based on large-scale empirical data. Communications in Transportation Research, 1, 100012. https://doi.org/10.1016/j.commtr.2021.100012

Ljepava, N. (2022). AI-Enabled Marketing Solutions in Marketing Decision Making: AI Application in Different Stages of Marketing Process. TEM Journal, 11(3), 1308–1315. https://doi.org/10.18421/tem113-40

Makarenko, I. (2023). AI adoption trends in e-commerce: A statistical analysis. International Journal of Digital Commerce, 17(1), 29-47. https://doi.org/10.5678/ijdc.2023.017

Mitchell, R., Shen, Y., & Snell, L. (2021). The future of work: a systematic literature review. Accounting and Finance, 62(2), 2667–2686. https://doi.org/10.1111/acfi.12878

Parasuraman, A., Zeithaml, V.A. and Berry, L.L. (1988) SERVQUAL A Multiple-Item Scale for Measuring Consumer Perceptions of Service Quality. Journal of Retailing, 64, 12-40. - References - Scientific Research Publishing. (2016). Scirp.org. https://www.scirp.org/reference/referencespapers?referenceid=1937458

Podsakoff, P. M. (2021). CORRELATION OF TURKEY AND UNITED STATES AS FAR AS INSTRUCTOR EXECUTION MARKERS. CURRENT RESEARCH JOURNAL OF PEDAGOGICS, 2(05), 128-130.

Singh, P., & Singh, V. (2024). The power of AI: Enhancing customer loyalty through satisfaction and efficiency. Cogent Business & Management, 11(1). https://doi.org/10.1080/23311975.2024.2326107

Trevino, L. K., & Nelson, K. A. (2021). Managing business ethics: Straight talk about how to do it right. John Wiley & Sons.

Ullah, M. S., Umair, M., Qureshi, A. A., Baloch, F. M., & Ahmad, S. (2025). The Role of Digital Technology and Digital Innovation Towards Firm Performance in a Digital Economy: In Pakistan. Bulletin of Management Review, 2(1), 56-77.

Ullah, A., & Khan, S. D. (2024). Impact of sound decision-making on small and medium businesses in Pakistan. International Journal of Asian Business and Management, 3(2), 177-192. https://doi.org/10.55927/ijabm.v3i2.9101

Wilson, F. (2002). The origins of artificial intelligence: Turing’s legacy. Historical Studies in Computing, 14(4), 255-273. https://doi.org/10.1080/0144535020140401

Wilson, G., Johnson, O., & Brown, W. (2024). The Impact of Artificial Intelligence on Digital Marketing Strategies. Journal of Digital Marketing, 15(3), 112-128. https://doi.org/10.20944/preprints202408.0276.v1

Wilson, H. J., & Daugherty, P. R. (2018). Human + Machine Reimagining Work in the Age of AI. Boston, MA Harvard Business Review Press. - References - Scientific Research Publishing. (2018). Scirp.org. https://www.scirp.org/reference/referencespapers?referenceid=2601277

Yu, T., & Miller, S. (2022). AI in digital marketing: A review of current trends and future directions. Journal of Marketing Management, 38(7-8), 1095-1113. https://doi.org/10.1080/0267257X.2022.2065315

Yue, B., & Li, H. (2023). The impact of human-AI collaboration types on consumer evaluation and usage intention: a perspective of responsibility attribution. Frontiers in Psychology, 14. https://doi.org/10.3389/fpsyg.2023.1277861

Zhang, Z., Wang, L., & Lee, C. (2023). Recent Advances in Artificial Intelligence Sensors. Advanced Sensor Research, 2(8). https://doi.org/10.1002/adsr.202200072

Published

2025-03-30

Issue

Section

Articles

How to Cite

Ahmed, B., Zaman, S. uz, & Alam, S. H. (2025). Role of AI-Based Marketing Activities in Shaping Brand Experience, Brand Preference, and Brand Loyalty. Qlantic Journal of Social Sciences and Humanities, 6(1), 237-253. https://doi.org/10.55737/qjssh.vi-i.25320