Identification of Indicators for Personalized Marketing with an Artificial Intelligence Approach in the Fourth Industrial Revolution

Objective: This study aims to explore the role of artificial intelligence (AI) in personalized marketing within the context of the Fourth Industrial Revolution. Methodology: A qualitative research design was employed to gather in-depth insights from 11 professionals with expertise in marketing, AI, and the Fourth Industrial Revolution. Semi-structured interviews were conducted to explore participants' perspectives on AI-driven personalized marketing. Thematic analysis was used to identify key patterns and themes related to AI's role in enhancing customer interactions, data management, and marketing effectiveness. Findings: The study revealed several key themes: (1) the critical importance of data management and real-time analytics in enabling AI-driven personalization, (2) AI's transformative impact on customer experience through personalized content, recommendation systems, and real-time interactions, (3) the role of AI in improving customer engagement and retention through targeted, relevant marketing messages, and (4) ethical concerns regarding data privacy and the transparent use of customer data in AI applications. AI was found to significantly enhance customer experiences, but ethical challenges must be addressed to ensure trust and loyalty. Conclusion: AI-driven personalized marketing holds substantial promise for improving customer engagement and satisfaction. However, businesses must balance the benefits of personalization with ethical considerations, ensuring transparency in data usage and maintaining consumer trust. Future research should explore the long-term impact of AI on customer loyalty, consumer perceptions, and regulatory frameworks to guide ethical AI implementation in marketing.