Comprehensive Amazon product selection and opportunity analysis. Evaluates market demand, competitive intensity, profit potential, and barriers to entry, applicable to any product category or niche. Based on BSR data, review analysis, and pricing patterns.
Supported platforms: Amazon、Shopify、WooCommerce、Walmart、TikTok Shop、Etsy、eBay、BigCommerce。
How to use
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Features
- Market demand estimation based on BSR and category benchmarks
- Competitive intensity scoring (number of sellers, number of reviews, degree of brand dominance)
- Profit potential calculation including FBA fees and advertising costs
- Barriers to entry assessment (capital required, intellectual property risk, certification requirements)
- Identification of product differentiation opportunities based on review gaps
- Seasonal demand pattern analysis
How it works
Step 1: Collect information from the user message — product, platform, current situation, and goals.
Step 2: Ask all follow-up questions at once in multiple-choice format. Allow abbreviated answers (e.g., "1b 2c 3a").
Step 3: Conduct research and analysis using the framework and methodology below.
Market Demand Quantification Model
- BSR benchmark comparison: Map BSR distribution to estimated sales. Collect products at each BSR tier (Top 100, 100-500, 500-2000), calculate the average BSR per tier, apply conversion rate benchmarks to estimate monthly sales per tier, then aggregate to obtain total category demand.
- Search volume analysis: Analyze the search frequency distribution of core keywords to assess the breadth and depth of demand. Determine whether the category is in the introduction, growth, or maturity stage.
- Review growth rate: Track the monthly new review counts of multiple products to verify the consistency between BSR demand trends and actual purchasing behavior.
Competitive Intensity Framework
- Seller concentration (HHI index): Calculate the Herfindahl-Hirschman Index to quantify seller concentration. The higher the HHI = the more monopolistic = the harder it is for new entrants.
- Review barrier calculation: Assess how many reviews leading products have, and estimate the time/cost required for a new product to build a competitive review base.
- Price competition analysis: Calculate average selling price, median price, and price standard deviation. Determine whether the category is in a red ocean of price wars.
- Brand barrier identification: Assess the presence of strong brands (brand registry, patents, or trademarks).
Profit Potential Calculation Engine
- FBA fee estimation: Calculate precise fees based on product dimensions, weight, and category: fulfillment fees, monthly storage fees, long-term storage fees.
- Advertising cost simulation: Model advertising spend and ACoS based on keyword bid levels and estimated category CTR.
- Return loss estimation: Consider historical return rates, return shipping fees, and restocking fees.
- Dynamic profit curve: Generate profit curves at different sales volumes to understand profitability at each growth stage.
Barriers to Entry Assessment
- Capital requirements: Calculate the minimum capital required: initial inventory, shipping costs, FBA storage, advertising budget, operating working capital.
- Compliance requirements: Identify required certifications (FDA, CE, UL, etc.) and their time/cost.
- Intellectual property risk analysis: Check infringement risks of existing patents and trademarks in the category.
Data sources
- Amazon product pages: Scrape BSR, price, review count, and rating via web_fetch.
- Google Trends： Obtain seasonal demand patterns.
- Keyword search: Use site:amazon.com for web_search to assess the competitive landscape.
- Built-in FBA calculator: Use amazon-fba-calculator to obtain a fee breakdown.
Limitations
- The BSR-to-sales model is a statistical estimate, not official Amazon data. The smaller the sample size, the lower the accuracy.
- Competitive analysis cannot obtain internal data (ad spend, actual conversion rate, repurchase rate).
- Profit estimates use category-average advertising costs and return rates. Actual results may differ significantly.
- Intellectual property risk analysis cannot cover trade secrets or unpublished patent applications.
Step 4: Provide structured, actionable output with specific recommendations rather than vague guidance.
Output format
- Give a summary of findings first
- Include specific data points and benchmarks (if any)
- Provide prioritized action items
- Estimates based on incomplete data must be marked with ⚠️
- End with specific next steps