Mnitdog

🔍 Subscription-Loyalty-Risk-Radar - Understand Your Customers Today

🚀 Getting Started

Welcome to Subscription-Loyalty-Risk-Radar! This application helps businesses predict how likely customers are to maintain their subscriptions. It also models how frequently they might make purchases and gives a score for customer loyalty risk. With an easy-to-use interface built on Streamlit, you can explore valuable insights and run simulations.

📥 Download & Install

To get started, click the button below to download the latest version of the application.

Steps to Download

1. Click on the download link above.
2. You will be taken to the Releases page.
3. Find the latest version of Subscription-Loyalty-Risk-Radar.
4. Click on the file appropriate for your operating system.

💻 System Requirements

To run Subscription-Loyalty-Risk-Radar smoothly, you’ll need:

• Operating System: Windows 10 or later / macOS 10.15 or later / Linux with Python support
• Python: Version 3.6 or later
• RAM: At least 4 GB
• Storage: At least 500 MB free space

🛠️ How to Run the Application

Once you have downloaded the application:

1. Locate the downloaded file on your computer.
2. If you are on Windows, double-click the .exe file to start it. For macOS or Linux, open your terminal, navigate to the folder where the file is located, and run the script using python filename.py.
3. The application will open in your web browser.

📊 Features

Subscription-Loyalty-Risk-Radar offers various tools to analyze customer behavior:

• Subscription Probability: Predict how likely a customer is to stay subscribed based on their past behavior.
• Purchase Frequency Modeling: Understand how often a customer buys from your business.
• Loyalty Risk Score: Calculate a score that indicates how likely a customer is to switch to a competitor.
• Scenario Simulator: Test different marketing strategies and observe how they impact customer loyalty and purchases.

📈 How to Use the Dashboard

Once the application is running:

1. Home Dashboard: You will see an overview of customer insights. Here, you can input data or use sample data provided by the application.
2. Exploration Tools: Navigate through different tabs to explore predictions, visualize data, and understand customer segments better.
3. Run Scenarios: Use the scenario simulator to test various conditions and see how they affect the outcomes.

🌐 Additional Resources

For further guidance on how to make the most of Subscription-Loyalty-Risk-Radar:

• Visit the Usage Guide for detailed instructions on features.
• Check the FAQ section for common questions and answers.

🤝 Support

If you encounter any issues:

• Open an issue on our GitHub Issues page.
• Join our community discussions for help and to provide feedback.

💼 Contributing

We welcome contributions. If you’re interested in improving the application, check our Contribution Guidelines. We appreciate any and all help from the community.

📄 License

This project is licensed under the MIT License. You can view the details in the LICENSE file.

Thank you for using Subscription-Loyalty-Risk-Radar! Enjoy exploring your customer insights.

Download the latest release here to start unlocking powerful insights into your customer data.