customer-conversion-prediction

This project aims to predict customer conversion for an insurance company. Using historical data, we will develop a machine learning model that can identify which customers are most likely to purchase a policy. By understanding the patterns and behaviors of previous customers, the model can make predictions and provide valuable insight to company.

Customer Conversion Prediction project is to build a machine learning model that can predict whether a client will subscribe to the insurance based on their demographic and marketing data.

Predictive modelling for customer conversion and transaction revenue at Google's e-commerce shop

Data mining project analyzing audiobook user behavior to predict customer conversion and repeat purchase likelihood, applying predictive modeling and customer segmentation to support data‑driven retention and growth strategies.

Implemented a Machine Learning model to predict whether customers will convert based on their behavior and demographics, helping businesses identify high-potential customers, target marketing efforts effectively, and improve conversion rates through data-driven decisions.

ML model that will predict if a client will subscribe to the insurance beforehand so that they can be specifically targeted via call.

A ML model to predict whether the clients will subscribe to insurance or not.