Predicting Lifetime Value of Users using Machine Learning

Implementing a customer lifetime value forecasting model in the fitness app industry holds immense benefits. By accurately predicting the lifetime value of users, fitness apps can strategically allocate resources and optimize marketing efforts, ensuring efficient budget utilization. Our machine learning project focuses on leveraging a time-series dataset extracted from app data for a training facility to forecast the lifetime value of their customers. To achieve this, we implemented a diverse set of models, including a Linear Regression Model, a Feed Forward Neural Network, a CNN Model, and an LSTM Model. These models were carefully selected and fine-tuned to assess their performance in predicting customer lifetime value, offering a comprehensive evaluation of different machine learning approaches. Our project aims to provide valuable insights for our client, aiding in strategic decision-making regarding their content strategy for their app.