Exploring the Impact of Artificial Intelligence in Personalized Content Marketing: A Contemporary Digital Marketing

Authors

  • Daher Raddad Alqurashi
  • Maha Alkhaffaf
  • Mohammad Khalaf Daoud
  • Jassim Ahmad Al-Gasawneh
  • Mahmoud Alghizzawi

DOI:

https://doi.org/10.59670/ml.v20iS8.4630

Abstract

In an era dominated by digital interactions and data-driven decision-making, the influence of Artificial Intelligence (AI) on personalized content marketing has become a focal point of research. This study, conducted with a simple random sample of 485 respondents, employs Partial Least Squares (PLS) analysis to unravel the intricate relationship between AI and personalized content marketing. The findings reveal compelling insights into the transformative power of AI in shaping contemporary marketing practices. We confirm that organizations embracing AI implementation experience a significant enhancement in their personalized content marketing endeavors. AI's ability to decipher complex data and tailor content to individual preferences propels engagement and fosters customer satisfaction. Moreover, we underscore the pivotal role of AI capabilities, demonstrating that investing in the development of these capabilities yields a competitive advantage. AI's predictive prowess and data analysis capabilities empower organizations to navigate the dynamic landscape of personalized content marketing with finesse. Strategic integration of AI channels emerges as another cornerstone of success. Our research illuminates the importance of selecting and integrating AI channels judiciously, enabling organizations to optimize their marketing strategies and forge deeper connections with their audience.

Metrics

Metrics Loading ...

Downloads

Published

2023-11-04

How to Cite

Daher Raddad Alqurashi, Maha Alkhaffaf, Mohammad Khalaf Daoud, Jassim Ahmad Al-Gasawneh, & Mahmoud Alghizzawi. (2023). Exploring the Impact of Artificial Intelligence in Personalized Content Marketing: A Contemporary Digital Marketing . Migration Letters, 20(S8), 548–560. https://doi.org/10.59670/ml.v20iS8.4630

Issue

Section

Articles

Most read articles by the same author(s)