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

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The Role of Edge Computing in Driving Real-time Personalized Marketing: a Data-driven Business Perspective

Author(s) Rakesh Paul, S A Mohaiminul Islam, Ankur Sarkar, A J M Obaidur Rahman Khan, Tariqul Islam, Md Shadikul Bari
Country United States
Abstract The fast pace of marketing innovation in the digital age has sparked a growing need for instant, personalized conversations with customers. This study investigates the vital significance of edge computing in elevating real-time personalized marketing by reducing latency, improving speed of data processing, and allowing companies to quickly, data-driven decisions. Through a rigorous investigation, the research reports on the ways edge computing solves problems linked to cloud solutions, like bandwidth issues and privacy matters, providing a more effective framework for localized data management. Conducting a mixed-methods study using case studies and quantitative performance metrics, this research showcases important enhancements in consumer engagement and conversion rates amongst enterprises that have implemented edge computing for their personalized marketing efforts. Findings indicate a reduction of 30% in data transfer latency and a 25% higher level of interactions with customers in real time as a result of marketing activities made possible by the edge. The paper wraps up with a look at the innovation of this method in the face of technological innovations and presents recommendations for firms attempting to raise consumer engagement via personalized marketing approaches facilitated by edge computing.
Keywords Edge Computing, Personalized Marketing, Real-Time Data, Consumer Engagement, Business Strategy
Field Engineering
Published In Volume 6, Issue 5, September-October 2024
Published On 2024-10-05
DOI https://doi.org/10.36948/ijfmr.2024.v06i05.28494
Short DOI https://doi.org/g688p2
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E-ISSN 2582-2160
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