Volume 3 Issue 1 | 2026 | View PDF
Paper Id:IJMSM-V3I1P124
doi: 10.71141/30485037/V3I1P124
Business Analytics: As a Tool for Improving Marketing Effectiveness
Karthika Murugan, Sathiyapriya, Vishmitha
Citation:
Karthika Murugan, Sathiyapriya, Vishmitha, "Business Analytics: As a Tool for Improving Marketing Effectiveness" International Journal of Multidisciplinary on Science and Management, Vol. 3, No. 1, pp. 261-268, 2026.
Abstract:
In the business world today, companies are using information to make decisions that help their marketing efforts. This paper looks at how business analytics can help make marketing more effective. By using analytics methods, such, as looking at what might happen in the future grouping customers and analyzing performance companies can learn important things about what customers do how the market is changing and how well their marketing campaigns are working. This research uses existing information to see how analytics affects the goals of marketing like getting new customers keeping old ones and making money. What we found out is that companies that use the business analytics tools do not just make their marketing better but they also become more efficient and able to compete with others. The importance of using business analytics when making marketing decisions to support marketing that is based on facts and to help companies grow in a way is a key part of this study. This study also wants to look at how business analytics can help Small and Medium Enterprises make their marketing work better and get ahead of their competitors.
Keywords:
Business Analytics, Marketing Effectiveness, Data-Driven Decision Making, Customer Segmentation, Consumer Behaviour.
References:
1. S. Akter, S. Fosso Wamba, and S. Dewan, “Why Do Analytics Capabilities Pay Off?,” Information Systems Research, vol. 32, no. 2, pp. 1–19, 2021.
2. A.S. Aydiner, E. Tatoglu, E. Bayraktar, and S. Zaim, “Business Analytics Capability Maturity,” Decision Support Systems, vol. 143, pp. 113–126, 2021.
3. G. Cao, Y. Duan, and A. El Banna, “Analytics Capability and Firm Performance,” International Journal of Information Management, vol. 52, pp. 102–120, 2020.
4. D. Chaffey and F. Ellis-Chadwick, Digital Marketing: Strategy, Implementation, and Practice, Pearson Education, 2021.
5. V. Charles, T. Gherman, and J. Cortes, “Business Intelligence and Analytics for Decision-Making,” Decision Support Systems, vol. 162, pp. 113–126, 2023.
6. S. Chaudhary and M.A. Alam, “Applications of Big Data Analytics in Marketing,” Journal of Business Analytics, vol. 5, no. 1, pp. 45–60, 2022.
7. H. Chen, R.H.L. Chiang, and V.C. Storey, “Business Intelligence and Analytics,” MIS Quarterly, vol. 44, no. 1, pp. 1–12, 2020.
8. N. Côrte-Real, P. Ruivo, and T. Oliveira, “Analytics Capability and Firm Value,” Journal of Business Research, vol. 128, 2021.
9. Y.K. Dwivedi, L. Hughes, E. Ismagilova, et al., “Digital Transformation and Analytics,” International Journal of Information Management, vol. 57, pp. 102–125, 2021.
10. S. Erevelles, N. Fukawa, and L. Swayne, “Big Data Consumer Analytics,” Journal of Business Research, vol. 112, pp. 1–10, 2020.
11. S. Fan, R.Y. Lau, and J.L. Zhao, “Big Data Analytics in Marketing,” Decision Support Systems, vol. 135, pp. 113–128, 2021.
12. P.W. Farris, N.T. Bendle, P.E. Pfeifer, and D.J. Reibstein, Marketing Metrics, Pearson Education, 2020.
13. S. Fosso Wamba, A. Gunasekaran, and S. Akter, “Analytics-Driven Business Value,” International Journal of Production Economics, vol. 233, pp. 107–117, 2021. A. Gandomi and M. Haider, “Beyond Big Data Analytics,” International Journal of Information Management, vol. 54, pp. 102–113, 2021.
14. W.A. Günther, M.H. Rezazade Mehrizi, M. Huysman, and F. Feldberg, “Debating Big Data Analytics,” Journal of Strategic Information Systems, vol. 30, no. 1, pp. 101–116, 2021.
15. M. Gupta and J.F. George, “Toward the Development of a Big Data Analytics Capability,” Information & Management, vol. 58, no. 3, 2021.
16. D.M. Hansson, K. Pauwels, and S. Srinivasan, “Marketing Analytics for Long-Term Impact,” Marketing Science, vol. 40, no. 2, pp. 1–18, 2021.
17. C. Homburg, A. Vomberg, M. Enke, and P. Grimm, “Market Intelligence and Analytics,” Journal of Marketing, vol. 84, no. 4, pp. 1–20, 2020.
18. J. Järvinen and H. Karjaluoto, “Marketing Automation and Analytics,” Industrial Marketing Management, vol. 86, pp. 79–90, 2020.
19. B. Kitchens, D. Dobolyi, J. Li, and A. Abbasi, “Advanced Analytics for Marketing Strategies,” MIS Quarterly, vol. 44, no. 2, pp. 1–21, 2020.
20. S.N. Knaflic, Storytelling With Data, Wiley, 2020.
21. V. Kumar, A. Dixit, R. Javalgi, and M. Dass, “Customer Engagement Analytics,” Journal of the Academy of Marketing Science, vol. 49, pp. 1–24, 2021.
22. K.N. Lemon and P.C. Verhoef, “Understanding Customer Journeys Using Analytics,” Journal of Marketing, vol. 85, no. 1, pp. 69–95, 2021.
23. J. Li, F. Tao, Y. Cheng, and L. Zhao, “Analytics Adoption in Marketing,” Technological Forecasting and Social Change, vol. 168, pp. 120–134, 2021.
24. J. Lu, X. Li, and K. Zhao, “Data Science and Analytics in the Modern Business Environment,” Journal of Business Research, vol. 134, pp. 1–10, 2021.
25. M. Mariani, R. Perez-Vega, and J. Wirtz, “Big Data Analytics in Marketing,” Journal of Business Research, vol. 123, pp. 390–402, 2021.
26. A. McAfee and E. Brynjolfsson, “Big Data and Data-Driven,” 2020.
27. S. Moro, P. Cortez, and P. Rita, “Predictive Analytics in Marketing Campaigns,” Expert Systems with Applications, vol. 144, pp. 113–125, 2020.
28. O. Müller, M. Fay, and J. vom Brocke, “The Effect of Analytics on Competitive Advantage,” Journal of Business Research, vol. 131, pp. 232–245, 2021.
29. E.W.T. Ngai, Y. Hu, Y.H. Wong, Y. Chen, and X. Sun, “Data Mining in CRM,” Decision Support Systems, vol. 129, pp. 113–127, 2020.
30. K. Pauwels, Z. Aksehirli, and A. Lackman, “Marketing Dashboards and Analytics,” Journal of Marketing, vol. 85, no. 2, pp. 1–21, 2021.
31. A. Payne, P. Frow, and A. Eggert, “Relationship Marketing Analytics,” Journal of Business Research, vol. 125, pp. 1–12, 2021.
32. A. Popovič, R. Hackney, P.S. Coelho, and J. Jaklič, “BI Systems and Decision Quality,” Decision Support Systems, vol. 132, pp. 113–125, 2020.
33. S. Rathod and A. Kumar, “Impact of Big Data Analytics on Organizational Performance,” International Journal of Information Management, vol. 58, pp. 102–118, 2021.
34. R.T. Rust, C. Moorman, and G. Bhalla, “Rethinking Marketing Productivity,” Journal of Marketing, vol. 84, no. 1, pp. 1–17, 2020.
35. G. Shmueli, P. Bruce, P. Gedeck, and N. Patel, “Predictive Analytics in Business,” Journal of Business Analytics, vol. 4, no. 1, pp. 1–15, 2021.
36. U. Sivarajah, M. Kamal, Z. Irani, and V. Weerakkody, “Critical Analysis of Big Data Analytics,” Journal of Business Research, vol. 70, pp. 263–286, 2021.
37. R. Srinivasan, M. Swink, and S. Kim, “Analytics and Customer Experience,” Journal of Operations Management, vol. 66, pp. 1–14, 2020.
38. Z. Sun, L. Sun, and K. Strang, “Analytics-Based Customer Behavior Prediction,” Journal of Retailing and Consumer Services, vol. 58, pp. 102–117, 2021.
39. P.C. Verhoef, T. Broekhuizen, and Y. Bart, “Digital Transformation: A Multidisciplinary Reflection and Research Agenda,” Journal of Business Research, vol. 122, pp. 889–901, 2021.
40. R. Vidgen, S. Shaw, and D. Grant, “Analytics Capability Development,” MIS Quarterly Executive, vol. 20, no. 1, pp. 1–18, 2021.
41. S.F. Wamba, M.M. Queiroz, and L. Trinchera, “Dynamics Between Big Data Analytics and Firm Performance,” Journal of Business Research, vol. 108, pp. 1–13, 2020.
42. M. Wedel and P.K. Kannan, “Marketing Analytics for Data-Driven Decision Making,” Journal of Marketing, vol. 84, no. 1, pp. 97–121, 2020.
43. J. Wirtz, P. Patterson, and W. Kunz, “Artificial Intelligence and Service Marketing,” Journal of Service Research, vol. 24, no. 1, pp. 3–20, 2021.
44. R. Wolniak, “Business Analytics and Customer Behavior Analysis,” 2024.