eBay Sales Analysis

A Python tool for analyzing eBay sales export data with comprehensive visualizations and metrics.

Features

• Data Cleaning: Automatically handles missing values, duplicates, and data type conversions
• Sales Trends: Monthly revenue and order count analysis with time-series visualizations
• Product Performance: Top products by revenue and quantity sold
• Summary Reports: Key metrics and statistics about sales
• Coming Soon:
• Customer Analysis: Customer lifetime value, repeat purchase behavior, and top customers

Getting Started

Prerequisites

• Python 3.8 or higher
• pip (Python package installer)

Usage

1. Export your eBay sales data

   • Log into eBay Seller Hub
   • Go to Orders
   • Click "Download" and select CSV format
   • Save the file as ebay_sales.csv in the project folder

2. Run the analysis

   python ebay_analysis.py

3. View results

   • Check the console output for detailed statistics
   • Find generated charts in the project folder:
     • sales_trends.png
     • product_performance.png
     • brand_trands.png

Privacy & Security

IMPORTANT: Never commit your actual sales data to GitHub!

• The .gitignore file is configured to exclude CSV files
• Always keep your ebay_sales.csv file local
• Consider using sample/anonymized data for testing

Customization

You can modify the EbaySalesAnalysis class to:

• Add custom metrics
• Change visualization styles
• Filter data by date ranges
• Add category-specific analysis

Disclaimer

This tool is for personal analysis only. Ensure you comply with eBay's terms of service when using exported data.

Tips

• Run analysis monthly to track trends
• Compare different time periods
• Use insights to optimize inventory
• Identify your best-performing products