Big data and artificial intelligence in digital marketing

Jovanka Vukmirović; Aleksandra Vukmirovic; Ivan Mandić; Predrag Sekulić; Ana Zekavica

doi:10.71159/bizinfo260029V

Authors

Jovanka Vukmirović University of Belgrade, Faculty of Organizational Sciences, Belgrade, Serbia
Aleksandra Vukmirovic Belgrade Business and Arts Academy of Applied Studies, Serbia
Ivan Mandić Belgrade Business and Arts Academy of Applied Studies, Serbia
Predrag Sekulić Faculty of Business and Tourism, Budva, Montenegro
Ana Zekavica Belgrade Business and Arts Academy of Applied Studies, Serbia

DOI:

https://doi.org/10.71159/bizinfo260029V

Keywords:

Big Data, artificial intelligence, digital marketing, marketing metrics, Serbia

Abstract

Big Data and artificial intelligence are changing digital marketing through consumer behavior analysis, personalized communication, and automation. This paper examines their role in marketing processes, performance measurement, and the conditions for application in Serbia. A narrative review of selected literature is combined with a descriptive analysis of published statistics on ICT use, e-commerce, and enterprise AI adoption. The analysis identifies widespread consumer participation in digital channels alongside more limited enterprise adoption of AI. Serbia remains below the EU average in enterprise AI use, although above some member states. The paper’s contribution lies in linking data resources, analytical capabilities, and managerial competencies to explain why technology adoption alone is insufficient for effective digital marketing. Practical implications emphasize employee development, responsible data management, and the evaluation of marketing outcomes. The findings should be interpreted within the limits of aggregate indicators, which do not directly measure marketing-specific AI use or its effectiveness. Future research should examine these applications and their outcomes at the enterprise level.

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References

Agentive AIQ. (2025, August 20). AI for conversion rate optimization: Boost sales with AgentiveAIQ. https://agentiveaiq.com/blog/ai-for-conversion-rate-optimization-boost-sales-with-agentiveaiq

Bendasyuk, V. (2025, May 26). Average website conversion rate by industry benchmarks. Avansta. https://www.avansta.com/post/average-website-conversion-rate-by-industry

Chaffey, D., & Ellis-Chadwick, F. (2019). Digital marketing (7th ed.). Pearson.

Chan, H.-L., & Choi, T.-M. (2025). Using generative artificial intelligence (GenAI) in marketing: Development and practices. Journal of Business Research, 191, Article 115276. https://doi.org/10.1016/j.jbusres.2025.115276

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. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108–116.

Dobričanin, S., & Aleksić, I. (2025). Strategic management and digital marketing: Analysis of their integration in modern business from the aspect of competitive advantage. BizInfo Blace, 16(2), 47–57. https://doi.org/10.71159/bizinfo250025D

Eurostat. (2025, January 23). Usage of AI technologies increasing in EU enterprises. https://ec.europa.eu/eurostat/web/products-eurostat-news/w/ddn-20250123-3

First Page Sage. (2023, September 28). Average website conversion rate by industry – 2025. https://firstpagesage.com/reports/average-website-conversion-rate-by-industry

Girvan, N. (2025, January 22). What is the success rate of AI personalization marketing campaigns? Data Ramp. https://dataramp.io/what-is-the-success-rate-of-ai-personalization-marketing-campaigns/

Goleman, D. (1995). Emotional intelligence: Why it can matter more than IQ. Bantam Books.

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(3), 702–722. https://doi.org/10.1007/s11747-024-01064-3

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

Kaushik, A. (2009). Web analytics 2.0: The art of online accountability and science of customer centricity. Sybex.

Kotler, P., & Keller, K. L. (2016). Marketing management (15th ed.). Pearson.

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

Krsmanović, S. (2026). Digital marketing and the transformation of exclusivity in luxury branding. BizInfo Blace, 17(1), 19–23. https://doi.org/10.71159/bizinfo260003K

Kumar, V., Kotler, P., Gupta, S., & Rajan, B. (2025). Generative AI in marketing: Promises, perils, and public policy implications. Journal of Public Policy & Marketing, 44(3), 309–331. https://doi.org/10.1177/07439156241286499

Red Stag Fulfillment. (n.d.). What is the average conversion rate for ecommerce? Retrieved July 22, 2026, from https://redstagfulfillment.com/average-conversion-rate-for-ecommerce/

Russell, S. J., & Norvig, P. (2020). Artificial intelligence: A modern approach (4th ed.). Pearson.

Solomon, M. R. (2018). Consumer behavior: Buying, having, and being (12th ed.). Pearson.

Statistical Office of the Republic of Serbia. (2024). Upotreba informaciono-komunikacionih tehnologija u Republici Srbiji, 2024. https://publikacije.stat.gov.rs/G2024/pdf/G202416019.pdf

Tilawat, M. (2025). AI marketing statistics for 2025: Growth, ROI, trends & real-world impact. All About AI. https://www.allaboutai.com/resources/ai-statistics/marketing

Vukmirović, J. (2023). Big Data koncept u metodologji kvantitativnih istraživanja. In M. Ivković & D. Drašković (Eds.), Zbornik radova 29. IKT konferencije „YU INFO 2023” (pp. 184–189). Informaciono društvo Srbije. https://www.yuinfo.org/zbornici/2023/YUINFO2023.pdf

Vukmirović, J., Maričić, L., Stanojević, S., Vukmirović, A., & Mandić, I. (2025). Considering the ethical aspects of artificial intelligence application from the consumer perspective. BizInfo Blace, 16(1), 1–9. https://doi.org/10.71159/bizinfo250001V

Zikopoulos, P. C., Eaton, C., deRoos, D., Deutsch, T., & Lapis, G. (2012). Understanding big data: Analytics for enterprise class Hadoop and streaming data. McGraw-Hill.

Zrnić, M. (2026). Artificial intelligence in hospitality: A review of contemporary research and development perspectives. BizInfo Blace, 17(1), 77–86. https://doi.org/10.71159/bizinfo260009Z