On a keyword search results page, the Jungle Scout browser extension overlays per-listing estimated monthly sales and review counts. Filtering that overlay for a minimum monthly-sales threshold (e.g. 300+ units/month) isolates proven, high-demand listings and yields a competitive category-average price.
Applying a second filter for a low maximum review count (e.g. ≤50 reviews) narrows the same high-demand set down to recently-launched sellers. Since any new listing launches with zero reviews and has to win sales by undercutting better-established competitors, the average price within this low-review, high-demand subset is a more realistic launch-price anchor than the raw category average.
This benchmark feeds directly into the Amazon Profitability & Real-Cost Validation Toolkit Revenue Calculator pass — the benchmarked price becomes the price input, which is then checked against the Rule of Thirds (33% Net Margin) Amazon Profitability Heuristic to see whether the product can clear a healthy margin at a price low-review sellers can actually win with.
In practice, the two filters are applied as: 300+ monthly sales to establish the average price of proven, high-demand products in the category, then a maximum review count filter (e.g. 50 reviews) layered on top to find what other recently-launched, low-review competitors are charging. Because a brand-new listing has zero reviews, price slightly below this low-review average rather than the overall category average to compensate for the lack of social proof.
Из тем: Product Research & Validation