Discover Amazon trending products and rising categories. Analyze BSR trends, new product momentum, seasonal patterns, and emerging niche markets. Help identify product opportunities before market peaks.
Supported platforms: Amazon、Shopify、WooCommerce、Walmart、TikTok Shop、Etsy、eBay、BigCommerce。
How to use
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Features
- BSR trend analysis and momentum scoring
- Seasonal trend identification and timing recommendations
- New product tracking and first-mover opportunity detection
- Category growth rate assessment
- Demand forecasting based on search trend patterns
- Competition density assessment for each trending niche market
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: Use the frameworks and methodology below to conduct research and analysis.
BSR Trend Analysis Engine
- BSR decline speed: Calculate the slope and acceleration of BSR decline. A sharp BSR decline = rapid sales growth. Quantify momentum strength.
- BSR stability assessment: Stable at a low BSR indicates stable demand; severe BSR fluctuations suggest short-term hype or seasonal factors.
- Cross-category BSR comparison: Compare the BSR of products across different categories to identify cross-category growth potential.
New Product Momentum Tracking Model
- Time to launch: How quickly a product enters the New Releases ranking after listing. Fast ranking = precisely hitting unmet demand.
- Retention duration: Track how long a product stays on the New Releases list. Long retention = strong long-term potential.
- Review accumulation rate: The growth rate of new product reviews reflects genuine purchase intent.
Seasonal Trend Identification System
- Seasonal factor calculation: Extract seasonal multipliers from multi-year sales data to quantify monthly demand fluctuations.
- Lead time estimation: Calculate how early seasonal products need to begin procurement and inventory planning.
- Off-season opportunity mining: Identify all-season products unaffected by seasonal fluctuations to achieve stable revenue.
Emerging Niche Market Identification
- New listing density scan: A sudden increase in new listings within a subcategory indicates rising market attention.
- Search volume growth tracking: Verify whether a niche market is truly growing by monitoring keyword search volume trends.
- Competition gap identification: Find underserved areas within growing niche markets as blue-ocean entry points.
Data sources
- Google Trends： Obtain search trends and seasonal patterns for the target category.
- Amazon Best Sellers： Scrape BSR rankings and category structure via web_fetch.
- Web search: General search to obtain market context and industry developments.
Limitations
- BSR reflects relative ranking rather than absolute sales. Cross-category comparisons require calibration.
- Amazon does not provide real-time BSR data. Analysis is based on snapshots with time delays.
- Seasonal forecasts based on historical patterns cannot predict black swan events.
- New product analysis relies on limited early data points. Confidence decreases when data is insufficient.
Step 4: Provide structured, actionable output with specific recommendations rather than vague guidance.
Output Format
- Start with a summary of findings
- 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