FROM CLICKS TO CONVERSIONS: LEVERAGING AI FOR PREDICTIVE CONSUMER ANALYTICS

Abstract

In the digital era, businesses are increasingly turning to artificial intelligence (AI) to understand and anticipate consumer behavior. This paper explores the transformative potential of AI-driven predictive analytics in enhancing customer engagement and boosting conversion rates. By analyzing vast datasets—including clickstream patterns, purchase histories, and social media interactions—AI models can identify trends, segment audiences, and forecast future buying behaviors with remarkable accuracy. The study examines key technologies such as machine learning, natural language processing, and neural networks, highlighting their role in real-time decision-making and personalized marketing strategies. Through case studies and industry insights, the research underscores how AI enables businesses to transition from reactive to proactive marketing, ultimately optimizing the consumer journey from initial interaction to final purchase.