Leverage eBay Searches per Day Data for Product Research | Identify High-Traffic Categories

Enhanced Prompt:

Objective:
To identify product categories on eBay with consistent search traffic and buyer interest, enabling informed product research, optimization, and inventory management for enhanced e-commerce performance.

Deliverables:

1. A detailed analysis of eBay product categories based on 'Searches per Day' data.
2. Identification of high-traffic categories with actionable insights.
3. Recommendations for product selection, listing optimization, and inventory management.
4. A report including key metrics, trends, and best practices.
5. Tools and techniques for data extraction, analysis, and visualization.

Methodology:

1. Data Extraction:

   • Access eBay's 'Searches per Day' data via the eBay API or direct export.
   • Extract data for the last 6 months, focusing on product categories and their search volumes.
   • Use tools like Google Analytics, Excel, or Python (Pandas, NumPy) for data processing.

2. Data Analysis:

   • Calculate key metrics: 'Searches per Day', 'Average Search Volume', and 'Search Trend' (eBay's Search Volume Trend).
   • Identify categories with consistent search traffic (e.g., above 100 searches/day).
   • Analyze buyer interest using search volume trends and conversion rates.

3. Trend Identification:

   • Use eBay's Search Volume Trend tool to predict future search patterns.
   • Compare seasonal trends to identify high-performing categories during peak periods.

Industry Best Practices and Standards:

• Prioritize categories with a combination of high search volume and conversion potential.
• Consider the lifecycle of products (e.g., seasonal products vs. long-term items).
• Use eBay's Listing Insights to validate product relevance and performance.

Quality Expectations:

• Ensure data accuracy by cross-referencing with Google Trends and other e-commerce platforms.
• Maintain a margin of error of ±5% for search volume trends.
• Provide actionable recommendations with clear rationale and supporting data.

Technical Considerations:

• Extract data in bulk or programmatically using eBay's API (requires API key and compliance).
• Store data in a secure, organized format (e.g., CSV, Excel, or a database).
• Use visualization tools (e.g., Tableau, Power BI) to present trends and ins