Welcome to the ecommerce churn analysis project. This application helps you understand customer behavior and improve retention strategies using detailed analytics. With useful dashboards and data insights, you can discover valuable patterns in your customer engagement.
Before downloading, ensure your system meets these requirements:
- Operating System: Windows 10 or higher / macOS 10.14 or higher
- RAM: Minimum 4 GB
- Disk Space: At least 500 MB free
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Click the link below to go to the Releases page.
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On the Releases page, find the latest version of the application.
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Click on the version you want to download. This will take you to a list of files.
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Look for the file suitable for your operating system:
- For Windows, select the
.exefile. - For macOS, you should choose the
.dmgfile.
- For Windows, select the
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Click the file to begin the download.
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After downloading, locate the file in your downloads folder.
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Double-click the file to start the installation process.
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Follow the prompts to complete the installation.
Once installed, you can start using the application to analyze customer churn.
- Open the application from your desktop or applications folder.
- Import your customer data file. The application supports CSV format.
- Explore the dashboards.
- Use the analytics tools to determine at-risk customers and create retention strategies.
- Remember to save your work.
- SQL-based Segmentation: Analyze customer data with powerful SQL queries.
- Tableau Dashboards: Visualize data with intuitive dashboards to spot trends.
- Engagement Pattern Analysis: Discover hidden patterns affecting customer loyalty.
- Predictive Retention Strategies: Get recommendations for improving customer retention.
1. What is customer churn analysis?
Customer churn analysis looks at why customers leave a service or product. Understanding this helps businesses improve retention.
2. Do I need any special skills to use this application?
No. The application is designed for users without technical backgrounds. Follow the installed guides, and you'll find it easy to use.
3. Can I use this application for any type of data?
This application works best with customer data. For optimal results, import data formatted as CSV.
- User Manual - Detailed instructions for all features.
- Video Tutorials - Visual guides to demonstrate how to use the application.
- Community Support - Join our user community for tips and help.
If you encounter problems, you can reach out through the Issues tab on the repository. Your feedback is vital for making our application better.
This project covers various topics such as:
- Business Intelligence
- Churn Prediction
- Customer Analytics
- Customer Segmentation
- Data Analysis
By understanding these concepts, you can unlock valuable insights into your customer's behavior.
Thank you for using ecommerce churn analysis. Discover hidden trends and boost your customer retention effectively. Visit the Releases page to get started!