Analizing customer purchase behaviour per cohorts using Online Retail II Dataset from Kaggle.
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Updated
Oct 24, 2025 - Python
Analizing customer purchase behaviour per cohorts using Online Retail II Dataset from Kaggle.
Jupyter notebook analyzing subscription revenue performance based on user transaction data (conversion rate, ARPU, revenue forecast).
A complete ETL solution with a PostgreSQL database, enabling calculation of key business metrics (KPI) such as revenue, ARPU, LTV, churn, retention, and cohort analysis.
Python in use of pandas, numpy, sklearn, statsmodels, gensim, matplotlib, plotly, seaborn, bokeh
The case study is based on how a subscription-based e-commerce business employed customer-centric strategies to reduce churn and increase customer lifetime value. How companies are Maximizing customer spending and loyalty while minimizing subscription cancellations to enhance profits and long-term business sustainability in an e-commerce model.
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