https://github.com/thecoderpinar/customer-segmentation-clv-analysis

Optimize marketing strategies and enhance decision-making. Explore customer data, segment behavior, calculate CLV, analyze demographics, and visualize insights. 🚀
https://github.com/thecoderpinar/customer-segmentation-clv-analysis

clv-analysis customer-segmentation data-analysis data-science data-visualization jupyter-notebook machine-learning marketing-strategy python

Last synced: about 1 year ago
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Optimize marketing strategies and enhance decision-making. Explore customer data, segment behavior, calculate CLV, analyze demographics, and visualize insights. 🚀

• Host: GitHub
• URL: https://github.com/thecoderpinar/customer-segmentation-clv-analysis
• Owner: ThecoderPinar
• License: mit
• Created: 2023-09-19T08:44:53.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2023-09-19T09:16:32.000Z (over 2 years ago)
• Last Synced: 2025-02-09T04:16:20.771Z (about 1 year ago)
• Topics: clv-analysis, customer-segmentation, data-analysis, data-science, data-visualization, jupyter-notebook, machine-learning, marketing-strategy, python
• Language: Jupyter Notebook
• Homepage: https://www.kaggle.com/datasets/vjchoudhary7/customer-segmentation-tutorial-in-python
• Size: 682 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          



  
Customer Segmentation & CLV Analysis





  Optimizing Marketing Strategies through Customer Data Analysis



## Objectives 🎯

- **Data Magic:** ✨ We'll start by collecting and tidying up customer data, which includes details like customer IDs, gender, age, annual income, and spending score.

  

- **Cluster Power:** ✨ Using the mighty K-means clustering, we'll group customers with similar characteristics to help tailor marketing strategies.

- **Valuing Customers:** ✨ We'll compute the Customer Lifetime Value (CLV) for each customer. It's all about understanding who's more valuable in the long run.

- **Demographics Dive:** ✨ Let's dive into demographics—age, gender, income, spending habits—to reveal how customer segments differ.

- **Visual Stories:** ✨ Expect beautiful visualizations with Python's Seaborn and Matplotlib to showcase insights on customer segments, demographics, and CLV.

- **Smart Moves:** ✨ Recommendations galore! We'll provide insights to supercharge marketing, from segment focus to budget allocation.

## Methods 🔍

- **Data Jedi Skills:** Data Cleaning and Prep

- **Clustering Charm:** K-means Clustering

- **CLV Magic:** Customer Lifetime Value Calculation

- **Demographic Insights:** Demographic Analysis

- **Visual Magic:** Visualization (Seaborn, Matplotlib)

## Results & Benefits 🚀

- **Personalized Campaigns:** Get ready to craft laser-targeted marketing campaigns with customer segmentation.

  

- **Value-Based Focus:** We'll reveal which customer segments bring in the gold based on CLV.

  

- **Demographic Gems:** Dive deep into demographic insights to understand your customer groups.

  

- **Optimized Strategies:** Armed with insights, you can now optimize marketing strategies for skyrocketing sales and profit.

## Getting Started 🚀

1. **Clone Me:** Begin by cloning this repository.

2. **Install Goodies:** Install necessary dependencies using `npm install` or `pip install`.

3. **Run the Magic:** Run the project locally using `npm start` or `python app.py`.

## License 📜

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

## Contact 📧

For inquiries, questions, or just a friendly chat, feel free to reach out to [piinartp@gmail.com](mailto:piinartp@gmail.com). We'd love to hear from you!