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Digital & AI-Driven Marketing: A Systematic Review of Emerging Trends and Strategic Implications


Authors : Dr. R. Raghuveer; Dr. V. Lakshmi

Volume/Issue : Volume 11 - 2026, Issue 3 - March


Google Scholar : https://tinyurl.com/yy7hf293

Scribd : https://tinyurl.com/42h9tkcn

DOI : https://doi.org/10.38124/ijisrt/26mar475

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : The rapid expansion of digital technologies has significantly transformed marketing practices, shifting traditional approaches toward data-driven and customer-centric strategies. Despite the growing adoption of digital marketing tools, there remains limited clarity on how organizations effectively convert digital data into actionable strategic decisions. This study aims to examine how digital marketing analytics and technological capabilities contribute to improved strategic decision-making and organizational performance. The primary objective of the study is to analyze the relationship between digital marketing practices, data-driven decision-making, and business performance outcomes. The research adopts a conceptual and analytical approach, synthesizing existing literature on digital transformation, marketing analytics, and strategic management. The study identifies key independent variables such as digital analytics capability, technology adoption, customer engagement metrics, and data integration systems, while organizational performance and strategic effectiveness are treated as dependent variables. The findings suggest that organizations that effectively integrate digital tools with strategic planning processes demonstrate improved responsiveness, enhanced customer insights, and better competitive positioning. The study highlights the importance of aligning digital marketing initiatives with broader organizational objectives to achieve sustainable performance advantages. This paper contributes to the existing body of knowledge by proposing a structured conceptual framework that links digital marketing capabilities with strategic outcomes. The study offers practical implications for managers seeking to leverage digital technologies for enhanced decision-making and long-term competitiveness in an increasingly data-driven business environment.

Keywords : Digital Marketing, Artificial Intelligence (AI), Marketing Analytics, Big Data, Personalization, Omnichannel Strategy, Marketing Automation, Customer Engagement, Organizational Performance, Competitive Advantage, Data-Driven Decision-Making.

References :

  1. Arnould, E. J., & Thompson, C. J. (2005). Consumer culture theory (CCT): Twenty years of research. Journal of Consumer Research, 31(4), 868–882. https://doi.org/10.1086/426626
  2. Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120. https://doi.org/10.1177/014920639101700108
  3. Batra, R., & Keller, K. L. (2016). Integrating marketing communications: New findings, new lessons, and new ideas. Journal of Marketing, 80(6), 122–145. https://doi.org/10.1509/jm.15.0419
  4. Brynjolfsson, E., Hu, Y. J., & Rahman, M. S. (2013). Competing in the age of omnichannel retailing. MIT Sloan Management Review, 54(4), 23–29.
  5. Chaffey, D., & Ellis-Chadwick, F. (2019). Digital marketing (7th ed.). Pearson.
  6. Davenport, T. H., 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
  7. De Veirman, M., Cauberghe, V., & Hudders, L. (2017). Marketing through Instagram influencers: The impact of number of followers and product divergence on brand attitude. International Journal of Advertising, 36(5), 798–828. https://doi.org/10.1080/02650487.2017.1348035
  8. Gentsch, P. (2019). AI in marketing, sales and service: How marketers without a data science degree can use AI, big data and bots. Palgrave Macmillan.
  9. Huang, M.-H., & Rust, R. T. (2021). Artificial intelligence in service. Journal of Service Research, 24(1), 3–19. https://doi.org/10.1177/1094670520902266
  10. Jarek, K., & Mazurek, G. (2019). Marketing and artificial intelligence. Central European Business Review, 8(2), 46–55.
  11. Kaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of social media. Business Horizons, 53(1), 59–68. https://doi.org/10.1016/j.bushor.2009.09.003
  12. Kannan, P. K., & Li, H. (2017). Digital marketing: A framework, review and research agenda. International Journal of Research in Marketing, 34(1), 22–45. https://doi.org/10.1016/j.ijresmar.2016.11.006
  13. Kotler, P., Kartajaya, H., & Setiawan, I. (2017). Marketing 4.0: Moving from traditional to digital. Wiley.
  14. Kumar, V., Aksoy, L., Donkers, B., Venkatesan, R., Wiesel, T., & Tillmanns, S. (2016). Undervalued or overvalued customers: Capturing total customer engagement value. Journal of Service Research, 13(3), 297–310.
  15. 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
  16. Payne, A., & Frow, P. (2005). A strategic framework for customer relationship management. Journal of Marketing, 69(4), 167–176. https://doi.org/10.1509/jmkg.2005.69.4.167
  17. Rust, R. T., & Huang, M.-H. (2014). The service revolution and the transformation of marketing science. Marketing Science, 33(2), 206–221.
  18. Shankar, V. (2018). How artificial intelligence (AI) is reshaping retailing. Journal of Retailing, 94(3), 286–288.
  19. Tiago, M. T. P. M. B., & Veríssimo, J. M. C. (2014). Digital marketing and social media: Why bother? Business Horizons, 57(6), 703–708. https://doi.org/10.1016/j.bushor.2014.07.002
  20. Verhoef, P. C., Kannan, P. K., & Inman, J. J. (2015). From multi-channel retailing to omnichannel retailing. Journal of Retailing, 91(2), 174–181. https://doi.org/10.1016/j.jretai.2015.02.005
  21. Wedel, M., & Kannan, P. K. (2016). Marketing analytics for data-rich environments. Journal of Marketing, 80(6), 97–121. https://doi.org/10.1509/jm.15.0413
  22. Wedel, M., Bigné, E., & Zhang, J. (2020). Virtual and augmented reality: Advancing research in consumer marketing. International Journal of Research in Marketing, 37(3), 443–465.

The rapid expansion of digital technologies has significantly transformed marketing practices, shifting traditional approaches toward data-driven and customer-centric strategies. Despite the growing adoption of digital marketing tools, there remains limited clarity on how organizations effectively convert digital data into actionable strategic decisions. This study aims to examine how digital marketing analytics and technological capabilities contribute to improved strategic decision-making and organizational performance. The primary objective of the study is to analyze the relationship between digital marketing practices, data-driven decision-making, and business performance outcomes. The research adopts a conceptual and analytical approach, synthesizing existing literature on digital transformation, marketing analytics, and strategic management. The study identifies key independent variables such as digital analytics capability, technology adoption, customer engagement metrics, and data integration systems, while organizational performance and strategic effectiveness are treated as dependent variables. The findings suggest that organizations that effectively integrate digital tools with strategic planning processes demonstrate improved responsiveness, enhanced customer insights, and better competitive positioning. The study highlights the importance of aligning digital marketing initiatives with broader organizational objectives to achieve sustainable performance advantages. This paper contributes to the existing body of knowledge by proposing a structured conceptual framework that links digital marketing capabilities with strategic outcomes. The study offers practical implications for managers seeking to leverage digital technologies for enhanced decision-making and long-term competitiveness in an increasingly data-driven business environment.

Keywords : Digital Marketing, Artificial Intelligence (AI), Marketing Analytics, Big Data, Personalization, Omnichannel Strategy, Marketing Automation, Customer Engagement, Organizational Performance, Competitive Advantage, Data-Driven Decision-Making.

Paper Submission Last Date
31 - March - 2026

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