Keyword Relevance measures how closely a keyword matches your product, based on the overlap between the keyword’s search results and your selected competitor ASINs.
Core Logic
Relevance is calculated by checking how many of the competitor ASINs appear in the top 96 organic search results for a given keyword (based on desktop layout: 48 results per page → top 2 pages, or 16 per page → top 6 pages). The more often your selected ASINs appear in these top positions, the more relevant the keyword is considered to be.
Occupancy Rate = y / x Where:
x = number of positions analyzed (e.g., top 4, 16, 48, or 96)
y = number of your selected competitor ASINs found within these positions
In simple terms: the higher the share of your competitor products in the top organic positions under a certain keyword, the more relevant that keyword is to your product.
Example
Suppose you sell insulated cups and enter 50 competitor ASINs. When analyzing the keyword “insulated cup”:
In the top 4 results, 4 are competitor ASINs → Occupancy Rate = 4/4 = 100%
In the top 16 results, 10 are competitor ASINs → Occupancy Rate = 10/16 = 62.5%
In the top 48 results, 35 are competitor ASINs → Occupancy Rate = 35/48 = 72.9%
Final Relevance Score: Weighted Average
Since each keyword may show different occupancy rates across position ranges, the final score is a weighted average of multiple ranges (e.g., top 4, 16, 48, 96), with higher weights assigned to top positions.