Template-Type: ReDIF-Article 1.0
Author-Name: Vij, Mohit
Author-Name-First: Mohit
Author-Name-Last: Vij
Author-Email: mtraji@yahoo.com
Author-Workplace-Name: Faculty of Business, Liwa University, Abu Dhabi, United Arab Emirates
Author-Name: Vij, Anu
Author-Name-First: Anu
Author-Name-Last: Vij
Author-Email: mtraji@yahoo.com
Author-Workplace-Name: EM Normandie Business School, Métis Lab, Dubai, United Arab Emirates
Author-Name: Kumar, Pranav
Author-Name-First: Pranav
Author-Name-Last: Kumar
Author-Email: pranavkr.jh@gmail.com
Author-Workplace-Name: American University of Ras Al Khaimah, United Arab Emirates
Author-Name: Masoud, Emad Y.
Author-Name-First: Emad Y.
Author-Name-Last: Masoud
Author-Email: emasoud@hct.ac.ae
Author-Workplace-Name: Higher Colleges of Technology, Ras Al Khaimah, United Arab Emirates
Author-Name: Al Kurdi, Barween
Author-Name-First: Barween
Author-Name-Last: Al Kurdi
Author-Email: b_alkurdi@ju.edu.jo
Author-Workplace-Name: Department of Marketing, School of Business, The University of Jordan, Amman, Jordan
Author-Name: Alzoubi, Haitham M.
Author-Name-First: Haitham M.
Author-Name-Last: Alzoubi
Author-Email: haitham_zubi@yahoo.com
Author-Workplace-Name: Applied Science Research Center, Applied Science Private University, Amman, Jordan
Title: Artificial Intelligence in Digital Marketing Strategies in the UAE: The Mediating Role of Predictive Analytics in Enhancing Customer Conversion
Abstract: Recent studies investigate the fundamental influence of Artificial Intelligence on UAE digital marketing practices designed to maximize customer acquisition. The rising dependence on automated systems and learning models and data-driven automation has led businesses in the UAE to implement AI systems to build personalized consumer transactions and optimize promotional activities along with demand forecasting. AI achieves confirmed benefits with its own methods yet its power to transform real customer acquisitions depends on predictive analytics as an intermediary solution. The present research evaluates predictive analytics because it functions as an essential interconnection between AI systems and improved customer conversion rates. A survey research design involving 287 marketing leaders and digital strategy experts operating in different industries throughout the UAE will be utilized for data collection. The SEM modeling analysis will evaluate the direct relationships as well as the mediating relationships present in the dataset. This research will deliver extensive evidence regarding how AI systems unite with predictive analytics to generate loyal customers in the UAE digital marketplace.
Keywords: Artificial Intelligence, Digital Marketing, Predictive Analytics, Customer Conversion, Marketing Technology, UAE
Journal: International Review of Management and Marketing
Pages: 380-387
Volume: 15
Issue: 4
Year: 2025
Month: 06
DOI: 10.32479/irmm.20218
File-URL: https://econjournals.com/index.php/irmm/article/download/20218/9071
File-Format: application/pdf
Handle: RePEc:eco:journ3:v:15:y:2025:i:4:id:20218