Amazon Product Research: Low Competition, High-Profit Strategies

Enhanced Prompt: Advanced Digital Marketing - Product Research

Objective:
To help sellers identify products with low competition and high profit potential, leveraging data-driven strategies and actionable insights for Amazon-optimized selling.

Objective Breakdown:

1. Identify Highly Profitable Products: Analyze product categories to uncover items with high sales, average price, and strong profit margins.
2. Low Competition Analysis: Differentiate between competitive and overlooked opportunities, ensuring product uniqueness.
3. Data-Driven Insights: Utilize analytics, SEO, and buyer behavior trends for informed decision-making.
4. Optimization Success: Implement ASO strategies and track return on investment for customer acquisition.

Deliverables:

• Research Reports: Detailed analysis of Amazon categories, including competitive landscape, pricing, and sales data.
• Product Recommendations: List of top opportunities across 10+ Amazon categories with KPIs (CVR, LTV, ROAS).
• Implementation Guide: Step-by-step strategies for data analysis, keyword research, and ASO optimization.
• Actionable Insights: Monthly and quarterly reports on performance trends and recommendations for product pivots.

Industry Best Practices:

• 80/20 Rule: Focus on top 20% of products for 80% of profits.
• Amazon Demand + Circle: Use Amazon demand tracking and Circle tools for buyer search intent analysis.
• Average Sales Volume (ASV): Target products with ASV <3 and high potential.
• Customer Feedback: Analyze ratings and reviews for sign-offs, influence, and sentiment.
• Circle of Competitiveness (CoC): Identify products with high sales, low volume, and unique features.

Quality Expectations:

• KPIs: Monitor CVR, product price, seller rank, and profit per sale.
• Tools: Use ASO tools, SMM platforms, and keyword research platforms.
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Step-by-Step Research Process:

1. Define Targeted Categories: Sel