Thesis Abstract

Abstract
This thesis explores the implementation of artificial intelligence (AI) in personalized marketing strategies to enhance customer engagement and drive business growth. Chapter 1 provides an introduction to the research topic, presenting the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and key definitions. Chapter 2 conducts a comprehensive literature review, covering ten key areas related to AI in marketing and personalized strategies. Chapter 3 details the research methodology, including research design, data collection methods, data analysis techniques, and ethical considerations. Chapter 4 presents the findings of the study, analyzing the impact of AI on personalized marketing strategies and discussing key insights derived from the research data. The chapter explores how AI technologies such as machine learning, natural language processing, and predictive analytics can be leveraged to deliver personalized experiences to customers across various touchpoints. It also examines the challenges and opportunities associated with implementing AI in marketing strategies, highlighting best practices and recommendations for businesses. In Chapter 5, the conclusion and summary of the thesis are provided, summarizing the key findings, implications, and contributions of the research. The chapter discusses the potential benefits of implementing AI in personalized marketing strategies, such as improved customer targeting, increased engagement, enhanced customer satisfaction, and higher conversion rates. It also outlines future research directions and practical implications for marketers looking to adopt AI technologies in their marketing efforts. Overall, this thesis contributes to the growing body of knowledge on the application of AI in marketing and personalized strategies, offering valuable insights for academics, practitioners, and policymakers seeking to harness the power of AI to create more effective and engaging marketing campaigns.

Thesis Overview