Estimating Revenue using in-app User Events

This pipeline calculates the LTV (life-time value) value of a mobile application user by analyzing the in-app events within the first 3 days after registration. LTV value has been estimated with regression. In addition, by applying binning, it was turned into a classification problem and classification success was evaluated.

Solution Pipeline

• Data Pre-Processing and First-Look
• Feature Extraction
• Analysis using PandasProfiler
• Hyper-Parameter Optimization
• Feature Selection
• Training and Prediction
• Unsupervised Clustering
• Binned Classification
• Conclusion

Please cite this repository when using the content:

@misc{ozturk2021_revenue,
author = {Anil Ozturk},
title = {Estimating Revenue with in-app User Events},
year = {2021},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/nlztrk/app_revenue_estimation}},
}