FLO RFM Analysis Project

This project was conducted to perform customer segmentation and RFM (Recency, Frequency, Monetary) analysis for FLO company.

About the Project

In this project, RFM analysis was performed using FLO's customer data, and customers were divided into different groups. This analysis will help the company better understand customer behaviors and develop targeted marketing strategies.

Features

• Calculation of RFM metrics
• Customer segmentation
• Data visualization
• Channel performance analysis

Technologies Used

• Python
• Pandas
• Matplotlib
• Seaborn

Installation

1. Clone the project:

   git clone https://github.com/hakancelik/FLO_customer_segmentation.git
   

2. Install the required libraries:

   pip install -r requirements.txt
   

Usage

1. Run the main.py file to perform RFM analysis:

   python main.py
   

2. Run the visualizations.py file to create visualizations:

   python visualizations.py
   

Results

The analysis results and visualizations can be found in the media folder. The generated graphs include:

• Channel performance
• RFM score distribution
• Segment distribution
• Correlation matrix
• Customer behavior analysis
• RFM segmentation results

Contributing

1. Fork this repository
2. Create a new feature branch (git checkout -b new-feature)
3. Commit your changes (git commit -am 'Added new feature')
4. Push to the branch (git push origin new-feature)
5. Create a new Pull Request

License

This project is licensed under the MIT License.

Contact

https://www.linkedin.com/in/hakancelik87/

Author

Hakan Çelik