This project aims to leverage machine learning to predict which existing insurance customers are most likely to purchase additional insurance products. By analyzing customer demographics, policy details, and interaction history, the model helps identify high-potential leads for cross-selling opportunities.
The object of this project is to analyze website data with over 30,000 users and more than 1,188,124 pageviews to evaluate website performance and to understand product level performance. I use conversion funnel analysis to understand customer behavior in order to improve website traffic via different channels.
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