AI and Machine Learning in Digital Marketing: Revolutionizing Customer Engagement and Decision Making

The study intends to assess the transitionary position of AI and ML in the context of consumers’ interaction and intelligence in the act of online marketing. In this well-structured research paper, the latest developments in AI and ML are evaluated with their practical applications, the advantages and the disadvantages of using these technologies in digital marketing strategies. This analysis identifies major benefits including personalized marketing, customer experience optimization and data driven decision-making to approach this problem. Furthermore, in-depth steps on implementing predictive analytics are explored especially logistic regression, in the modern marketing sphere. Moreover, the aim is to predict customer attrition. The study shows that the predictive modeling is the best way to identify and predict the customers who will likely leave the company and it is important to use the AI-driven insights to make the strategic decisions. Apart from that, the consequences of these outcomes to businesses and recommendations are evaluated on how to use AI and ML technologies more particularly to drive sustainable development and success in a digital age. In essence, the research gives us an overview of the capacity of AI and ML-based solutions to change the game in digital marketing practice and therefore, it can subsequently be used for informing the actions of marketers who strive to improve their marketing know-how while keeping up with the needs of their customers.