Agellic automatically analyzes every product using a suite of algorithms that turn raw Amazon data into actionable insights. This guide explains what each metric measures and how to use it in your sourcing decisions.
How Metrics Work
When you look up a product, Agellic processes its historical data — prices, sales rank, seller counts, stock levels, and more — through a series of algorithms. Each algorithm answers a specific business question and classifies the product into a clear category you can act on.
Not every metric is available for every product. Core metrics require at least 12 weeks of history. Advanced metrics require detailed offer data, which is fetched during full product lookups.
Core Metrics
These are calculated for every product with sufficient history. They answer the most fundamental questions about whether a product is worth sourcing.
- Demand Stability — Is demand consistent or unpredictable?
- Amazon Out-of-Stock — Does Amazon regularly run out, creating opportunities?
- Price Trend — Is the price going up, down, or staying flat?
- Seller Concentration — How competitive is this listing?
Price Metrics
These metrics dig deeper into pricing dynamics to help you understand margin risk and timing.
- Price Position — Is the current price unusually high or low?
- Price Velocity — How fast is the price changing, and is it accelerating?
- Price Compression — Are sellers converging on the same price?
Competition Metrics
These help you understand who you are competing against and how the competitive landscape is changing.
- Effective Competition — How many sellers are actually competing for the buy box?
- Buy Box Volatility — How often does the buy box change hands?
- FBA vs. FBM — What fulfillment method do successful sellers use?
- Seller Cliff — Have sellers been suddenly leaving this listing?
- Race to Bottom — Are sellers in a price war?
- Sawtooth Pattern — Is there a repeating drop-and-reset price cycle?
Supply Metrics
- Stock Depth — How much inventory is on hand and how fast is it selling?
Product Health Metrics
These help you assess risks that could affect the listing's long-term viability.
- Review Purge — Has Amazon removed reviews, suggesting manipulation?
- IP Risk — Is there evidence of intellectual property enforcement?
Demand Metrics
- Seasonality — Does this product have predictable busy and slow periods?
Tips for Using Metrics
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No single metric tells the whole story. Always look at multiple metrics together. A product with great demand stability but a severe race to bottom may not be worth sourcing.
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Context matters. A "volatile" demand stability rating might be acceptable for a seasonal product where you understand the pattern.
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Use metrics to prioritize, not to decide. Metrics help you narrow your list of candidates. Always verify with your own research before committing to inventory.
Click "What does this mean?" on any metric in the product analysis view to see a plain-English explanation of what the current reading means for your decision.