This article discusses the importance of predictive modeling in identifying potential customers for health insurance cross-selling. We explain the difference between univariate, bivariate, and multivariate analysis and provide examples of how to conduct such analysis using Python. We also discuss how to use this analysis to build a predictive model for cross-selling purposes. By leveraging predictive modeling, companies can better understand their customers and tailor their communication strategies to maximize cross-selling opportunities.