Data-Driven Insights into Consumer Behavior for Bundled Insurance Offerings Using Big Data Analytics

Abstract

The landscape of consumer behavior in insurance markets has evolved significantly in recent years, driven predominantly by advancements in big data analytics. This paper examines the dynamics inherent in bundled insurance offerings, emphasizing the role of data-driven insights in shaping consumer preferences and decision-making processes. By analyzing extensive datasets from various channels—such as online interactions, customer feedback, and transaction records—this study delineates the critical factors that influence consumer choices when selecting bundled insurance products. Through a multifaceted analytical approach, the research reveals patterns and correlations that were previously obscured, ultimately providing a comprehensive understanding of consumer tendencies.