International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 6 November-December 2024 Submit your research before last 3 days of December to publish your research paper in the issue of November-December.
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Leveraging Big Data and AI for Optimizing Digital Marketing Strategies: A Data-driven Approach

Author(s) Abu Yusuf
Country United States
Abstract In this paper, the author discusses how big data and AI can improve the rate of conversion, engagement, and ROI in digital marketing through ’big data’ techniques in improving the effectiveness of the marketing mix. In this study, by counting and comparing campaigns from different industries, the researcher establishes that three strategies facilitated by AI have a positive impact on marketing- predictive analytics, real time personalization and segmentation. Findings further show that some industries such as e-commerce and the financial industry benefit most from these technologies, yet in other areas like the healthcare industry, regulatory issues prevent substantial results. The insights reveal how embedding of AI in the digital marketing strategy give companies a competitive advantage while the aspects of ethics such as data protection cannot be overlooked. Finally, the research study calls attention to the role of AI and big data in developing better, engaging, and relevant digital marketing solutions.
Keywords Big data, AI, Digital marketing
Field Business Administration
Published In Volume 6, Issue 6, November-December 2024
Published On 2024-11-10
Cite This Leveraging Big Data and AI for Optimizing Digital Marketing Strategies: A Data-driven Approach - Abu Yusuf - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.30250
DOI https://doi.org/10.36948/ijfmr.2024.v06i06.30250
Short DOI https://doi.org/g8qtj4
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