Boosting Audience Targeting Effectiveness in Digital Advertising Campaigns with Artificial Intelligence (AI): Review

Authors

  • Ali Hameed alzubaidi University of Warith Al-Anbiyaa, Department of Accounting, College of Administration and Economics, Karbala, Iraq Author
  • Ibrahim Oday Alrubaye University of Warith Al-Anbiyaa, Department of Law, College of Law, Karbala, Iraq Author
  • Ahmed Basim Adnan University of Sumer, Department of computer science college of computer science and information technology, Theqar, Iraq Author

Keywords:

Artificial Intelligence (AI), Audience Targeting, Digital Advertising, Company, Recommendation system E-commerce, E-Marketing, Revenue, Customer Engagement

Abstract

 Improving the effectiveness of audience targeting in digital advertising campaigns is a key factor for companies’ success in the digital age. With the rapid development of artificial intelligence technology, these campaigns have become more precise and engaging for the target audience. This paper reviews the importance of exploiting artificial intelligence tools to improve the effectiveness of digital advertising campaigns and e-marketing through improving personal targeting, big data analysis, and content personalization. The study includes a review of previous research on this topic and the various artificial intelligence tools used in this field, such as machine learning, big data analysis, and recommendation systems used in recommending products to users online while providing recommendations for improving digital targeting strategies. 

Author Biographies

  • Ali Hameed alzubaidi, University of Warith Al-Anbiyaa, Department of Accounting, College of Administration and Economics, Karbala, Iraq

     

  • Ibrahim Oday Alrubaye, University of Warith Al-Anbiyaa, Department of Law, College of Law, Karbala, Iraq

     

  • Ahmed Basim Adnan, University of Sumer, Department of computer science college of computer science and information technology, Theqar, Iraq

     

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Published

2025-03-26

Issue

Vol. 4 No. 1 (2025)

Section

Articles