Customer Segmentation
Analyst & Visualization
About The Project
This project aims to perform customer segmentation using the RFM (Recency, Frequency, Monetary) method. The object of this analysis is an online retail store called **Mavshop**. The analysis process combines several tools to ensure an efficient workflow and produce engaging visualizations.
Tools & Libraries : Python, Google Colab, Pandas, Power BI Desktop, Figma
Achievements
Through this project, I successfully segmented Mavshop customers into meaningful groups using the RFM (Recency, Frequency, Monetary) method. I designed and developed a fully interactive Power BI dashboard, which visualizes customer behavior and segmentation in an intuitive and business-oriented layout. The project streamlined the entire workflow from data cleaning in Jupyter/Colab, to RFM calculation and visualization in Power BI, and concluded with a clean, user-centered dashboard design inspired by a Figma mockup. As a result, the analysis provided actionable insights for identifying high value customers, improving retention strategies, and supporting data-driven marketing decisions.
