Amazon Seller Analytics

Problem

When analyzing Amazon competitors, public pages expose only scattered signals: BSR, review velocity, price changes, and category coverage. It is hard to infer a seller's revenue scale, product-portfolio logic, and expansion path. amazon-seller-analytics turns these signals into a repeatable seller-intelligence workflow for benchmarking and market-entry decisions.

How It Works

• Revenue estimation: uses Best Seller Rank, monthly review growth, and category market size to infer monthly/annual revenue bands, from $10K to $10M+.
• Product structure: analyzes SKU count, category spread, price bands, accessory relationships, seasonal items, and launch frequency.
• Growth and positioning: tracks a seller's path from initial category focus to horizontal expansion, brand upgrade, or price-tier shift, then evaluates differentiation strategy.
• Output: generates a full seller report, comparison table, or quick scorecard for competitive research, product selection, and market-entry analysis.

Boundaries

This skill relies on publicly visible data. Revenue is an estimate, not actual financial data, and it cannot access private inventory, ad backends, or undisclosed supplier information. Price and review data may lag, making it better for trend analysis and competitor benchmarking than real-time inventory monitoring or financial audit.