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Marketplaces
Data Dimension
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New Product Definition
Listing Sample Size
Number of Top Listings
Custom
Market Demand Indicator
Total Monthly Sales
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Avg. Monthly Sales
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Avg. Monthly Revenue
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Avg. Rating Count
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Avg. BSR
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Avg. Price
$
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$
Avg. Rating
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Avg. Product Weight
lbs
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lbs
Avg. Product Volume
in³
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in³
Avg. Gross Margin
%
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%
Avg. BSR of Top Listings
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Top Listings Total Monthly Sales
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Top Listings Avg. Monthly Sales
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Top Listings Avg. Monthly Revenue
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Total Products
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Market Fluctuation Indicator
New Product Count Share
%
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%
New Product Count
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New Product Sales Share
%
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%
Avg. Rating Count of New Products
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Avg. Price of New Products
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Avg. Rating of New Products
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Avg. Monthly Sales of New Products
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Avg. Monthly Revenue of New Products
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Market Competition Indicator
Brand Count
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Seller Count
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Avg. Seller Count per Product
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Product Concentration
%
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%
Brand Concentration
%
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%
Seller Concentration
%
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%
A+ Content Share
%
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%
FBA Share
%
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%
FBM Share
%
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%
AMZ Share
%
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%
Seller Location
Seller Location Share
%
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%
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Sub-category
Sample Size
Total Monthly Sales
Avg. Monthly SalesTop Listings
Avg. Monthly Revenue
Top Listings
Avg. Rating Count
Avg. Rating
Avg. BSR
Top Listings
Avg. Seller Count per Product
Avg. Price
Seller Type
Market Concentration
New Product Count
New Product Share
Total Products
Return Rate
Peer-category Average
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Here’s What You Need to Know
1. We recommend following this workflow for product research: filter markets -> compare market segments -> view the market analysis report -> review product details -> calculate profit.

2. No single metric can fully represent a market opportunity. Evaluate market demand, competitive landscape, new-product performance, and long-term trends together.

3. Market size, price, ratings, and new-product cycles vary greatly across categories. Prioritize horizontal comparisons among similar categories.

4. If products in the default category are not highly relevant to your target product, use Custom Categories to adjust the Listing sample so the market analysis results better reflect the actual competitive environment.

5. Market data may be affected by seasonality, promotions, category changes, etc. We recommend analyzing single-month static data together with the past 24 months of dynamic trends.