Leveraging Social Marketing and Business Intelligence for Competitive Advantage
DOI:
https://doi.org/10.63503/j.ijaimd.2024.24Keywords:
Social marketing, business intelligence, consumer data, decision-making, data analyticsAbstract
Social marketing, combined with business intelligence (BI), has become an essential strategy for organizations aiming to enhance customer engagement and drive decision-making through data insights. BI tools provide a systematic approach to gathering, processing, and analyzing consumer data, enabling more effective and targeted social marketing efforts. This paper investigates how BI can be leveraged to improve social marketing outcomes by using pre-dictive models to analyze consumer behavior and optimize marketing campaigns. Through a comparative analysis of two predictive models—a regression-based model and a neural network model—this study explores their relative performance in delivering actionable insights for social marketers. The research demonstrates how integrating BI with social marketing allows companies to make more informed decisions, effectively allocate resources, and achieve greater returns on investment.
References
Maurya, S. Social Media Analytics and Business Intelligence: Leveraging Management Information System for Compet-itive Advantage.
Rosário, A. T. (2024). A Literature Review of Marketing Intelligence and Its Theoretical Implication for Leveraging Business. Marketing Innovation Strategies and Consumer Behavior, 1-30.
Rosário, A. T. (2024). How Business Intelligence and Data Analytics Can Leverage Business. In Data-Driven Busi-ness Intelligence Systems for Socio-Technical Organizations (pp. 56-84). IGI Global.
Orji, U., Orji, C. A., & Olagunju, O. D. (2024). Leveraging AI for transformative business development: Strategies for market analysis, customer insights, and competitive intelligence.
Iwu-James, J., Haliso, Y., & Ifijeh, G. (2020). Leveraging competitive intelligence for successful marketing of aca-demic library services. New Review of Academic Librarianship, 26(1), 151-164.
Rosemann, M., Eggert, M., Voigt, M., & Beverungen, D. (2012). Leveraging social network data for analytical CRM strategies-the introduction of social BI.
Jiménez-Partearroyo, M., & Medina-López, A. (2024). Leveraging Business Intelligence Systems for Enhanced Cor-porate Competitiveness: Strategy and Evolution. Systems, 12(3), 94.
Djerdjouri, M. (2020). Data and Business Intelligence Systems for Competitive Advantage: prospects, challenges, and real-world applications. Mercados y Negocios, (41), 5-18.
Nayak, M., & Pattnaik, A. (2024). Unlocking Business Insights: Leveraging the Synergy of Business Intelligence and Artifical Intelligence for Effective Data Analytics. AI in the Social and Business World: A Comprehensive Approach, 152.
Lokeshkumar, R., Maruthavani, E., & Bharathi, A. (2018). A new perspective for decision makers to improve effi-ciency in social business intelligence systems for sustainable development. International Journal of Environment and Sustainable Development, 17(4), 404-416.
Hughes, D. E., Le Bon, J., & Rapp, A. (2013). Gaining and leveraging customer-based competitive intelligence: the pivotal role of social capital and salesperson adaptive selling skills. Journal of the Academy of marketing Science, 41, 91-110.
He, W., Shen, J., Tian, X., Li, Y., Akula, V., Yan, G., & Tao, R. (2015). Gaining competitive intelligence from social media data: Evidence from two largest retail chains in the world. Industrial management & data systems, 115(9), 1622-1636.
Baur, A. W. (2016). New ways to leverage Web 2.0: Social media content for market intelligence and customer in-teraction (Doctoral dissertation, ESCP Europe Wirtschaftshochschule Berlin).
Fischer, T. (2024). Driving business growth through AI-driven customer insights: leveraging big data analytics for competitive advantage. Journal of Artificial Intelligence Research and Applications, 4(1), 56-72.
Miller, G. J., Bräutigam, D., & Gerlach, S. V. (2006). Business intelligence competency centers: a team approach to maximizing competitive advantage. John Wiley & Sons.
Pahlad, R. (2017). A framework for enabling business leaders to leverage the value of business intelligence. Uni-versity of Johannesburg (South Africa).
Cavaliere, L. P., Kumar, K. S., Sharma, D. K., Sharma, H., Jayadeva, S. M., Upadhyaya, M., & Vinayagam, N. (2024). Leveraging Distributed Systems for Improved Market Intelligence and Customer Segmentation. Meta Heuristic Algo-rithms for Advanced Distributed Systems, 305-319.
Venkateswaran, P. S., Marupaka, D., Parate, S., Bhanushali, A., Thammareddi, L., & Paramasivan, P. (2024). A comprehensive review on leveraging business intelligence for enhanced marketing analytics. Data-Driven Decision Making for Long-Term Business Success, 34-48.
Chandel, A. (2024). Analytics: Leveraging Real-Time Data. Improving Entrepreneurial Processes Through Ad-vanced AI, 267.
Maji, M. S., & Jacob, P. (2023). Leveraging Digital Marketing for Business Growth with data driven outcome. RES MILITARIS, 13(4), 956-967.
Elbashir, M. Z., Sutton, S. G., Arnold, V., & Collier, P. A. (2022). Leveraging business intelligence systems to en-hance management control and business process performance in the public sector. Meditari Accountancy Research, 30(4), 914-940.
Gruner, R. L., Power, D., & Bergey, P. K. (2013). Leveraging social media technology for business transformation: The case of corporate social communities. In Social media in strategic management (pp. 27-42). Emerald Group Pub-lishing Limited.
Singh, S. K. (2024). Leveraging Data Analytics for Customer Insights and Market Trends. Baltic Multidisciplinary journal, 1(1), 9-18.
Varadarajan, R. (2020). Customer information resources advantage, marketing strategy and business performance: A market resources based view. Industrial Marketing Management, 89, 89-97.
Jacob, P., & Maji, S. (2023). Leveraging Digital Marketing for Business Growth With Data Driven Outcome. Avail-able at SSRN 4927292.
