Analyze eBay Product Reviews & Ratings | Market Demand & Customer Satisfaction

Enhanced Prompt: Analyzing eBay Product Reviews for Market Demand and Customer Satisfaction

Objective: To conduct a comprehensive analysis of eBay product reviews and ratings to gain insights into market demand, customer satisfaction, and competitive landscape positioning. The goal is to provide actionable insights to inform product development, marketing strategies, and pricing decisions.

Deliverables:

• A detailed report summarizing market demand trends and customer sentiment.
• A competitive analysis highlighting key competitors and their product strengths.
• Recommendations for product improvements based on customer feedback.
• A dashboard for monitoring and tracking market trends in real-time.

Industry Best Practices:

• Adhere to data privacy and security standards, ensuring compliance with eBay's terms of service and relevant regulations.
• Utilize structured data standards and tools for consistent data extraction and analysis.
• Engage with customers through surveys and feedback mechanisms to validate insights.

Quality Expectations:

• Accuracy: Ensure data extraction and analysis are precise and free from errors.
• Completeness: Collect data from diverse sources, including both positive and negative reviews.
• Consistency: Use standardized metrics and methodologies across all analyses.
• Timeliness: Deliver insights within agreed deadlines.
• Relevance: Focus on metrics that directly impact business objectives.

Technical Considerations:

• Tools: Use Python libraries (e.g., BeautifulSoup, Selenium) for web scraping, and Natural Language Processing (NLP) for sentiment analysis. Leverage APIs for direct data extraction from eBay.
• Data Analysis: Apply sentiment analysis, frequency analysis, and correlation analysis to identify trends.
• Data Storage: Use cloud storage solutions for secure and scalable data management.
• Data Visualization: Employ tools like Tableau or Power BI for creating interactive dashboards.

Challenges and Solutions:

• **Data