Topic: "rfm-segmentation"
Lefteris-Souflas/Business-Analytics-Case-Studies
Three business analytics case studies were undertaken, encompassing market basket analysis, customer segmentation, and campaign management. SAS Visual Data Mining and Machine Learning on SAS Viya was utilized to explore data and provide insights. A comprehensive report addressing both technical and business aspects was delivered.
Size: 1.31 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0
ChaitanyaC22/Customer-Segmentation-Using-RFM-Analysis-for-Online-Retail
This project uses RFM (Recency, Frequency, and Monetary) segmentation to analyze customer behavior and provide insights for targeted marketing campaigns. By classifying customers based on their purchasing patterns, strategies can be tailored to improve customer retention, drive growth, and maximize the lifetime value of each customer.
Language: Jupyter Notebook - Size: 29.5 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0
gohjiayi/flipkart_marketing_analytics
Performing RFM customer segmentation and developing relevant marketing strategies for Flipkart using eCommerce data.
Language: Jupyter Notebook - Size: 2.93 MB - Last synced at: 16 days ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1
Emperor228/Superstore-Retail-Analysis-Project
📊 SQL + Power BI dashboard for retail insights | Growth, RFM segmentation & on-time delivery
Size: 564 KB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0
abdullahalazmain/Superstore-Sales-Data-Analysis-In-MySQL
Explore Superstore sales data with MySQL database setup, data insertion, and cleaning. Perform EDA and RFM customer segmentation using Excel & SQL. #DataAnalysis #CustomerSegmentation #MySQL #EDA
Size: 3.88 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
M3GHAN/RFM-Analysis
This notebook focuses on RFM (Recency, Frequency, Monetary) segmentation, a popular method used in customer analysis to group customers based on their purchasing behavior. The key goal of RFM segmentation is to identify different customer segments by analyzing their transaction history and assigning them to categories based on their recency of purc
Language: Jupyter Notebook - Size: 21.5 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
