High-Profit Product Research | Analyze eBay Price Trends & Sales Data

Enhanced Prompt:

Objective:
To identify products with high profit potential by analyzing eBay's Price Trends and historical sales data, leveraging data-driven insights to optimize product selection, pricing strategies, and inventory management for maximum profitability.

Deliverables:

1. A comprehensive analysis report detailing the profitability of each product based on eBay's Price Trends and historical sales data.
2. A prioritized list of high-profit products, including product SKUs, average selling price (ASP), cost of goods sold (COGS), and projected profit margins.
3. A actionable strategy for product selection, including product categories, SKUs, and pricing ranges.
4. A detailed market analysis report, including trends, seasonality, and competitive landscape insights.
5. A data visualization dashboard for tracking eBay sales performance metrics, including eBay Sales Performance Metrics (CTR, ROAS, profit margins, etc.).
6. Recommendations for optimizing product listings, including eBay-specific best practices for pricing, descriptions, and images.

Industry Best Practices and Standards:

• Utilize eBay's built-in tools for data extraction, including the eBay API and eBay Data API.
• Analyze Price Trends data with a focus on trends, average selling price (ASP), and price volatility.
• Incorporate historical sales data to identify consistent performers and seasonal variations.
• Apply statistical analysis techniques, such as regression analysis, to correlate price trends with sales volume.
• Conduct competitor analysis by comparing top-performing products in similar categories.
• Use eBay's eBay Feedback Score and Feedback Volume to assess product quality and customer satisfaction.

Quality Expectations:

• Ensure accuracy and completeness of data extraction and analysis.
• Maintain a minimum of 30% profit margin on high-profit products.
• Achieve a minimum eBay Sales Performance Metric (CTR) of 2% and ROAS of 5x.
• Ensure data privacy compliance with eBay's Privacy Policy and applicable data protection regulations.
• Use industry-standard tools and technologies, such as Excel, Google Sheets, Python, or R for data analysis.
• Provide actionable insights with clear, concise recommendations for product selection and pricing strategies.

Technical Considerations:

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