A precise keyword library is the backbone of every successful Amazon seller. From listing creation to ad campaigns, every step relies on identifying highly relevant keywords to ensure your product is seen by the right shoppers.
In the past, identifying relevant keywords meant scanning the top-ranking listings under each keyword and manually checking their visual similarity to your product — a time-consuming task.
Now, with SellerSprite’s Extension feature “Relevance Check”, we’ve automated this process. It calculates keyword relevance based on the share of competitor ASINs appearing in the top 96 organic search results — so you no longer need to do the manual counting yourself.
How It Works
If the competitor ASINs you provide are highly similar to your product (i.e., strong substitutes), then the share of those ASINs in the top organic results becomes a direct reflection of how relevant the keyword is.
Relevance Score = y / x Where:
y= Number of competitor ASINs shownx= Topxnatural rankings (usually 96 positions, spanning 2–6 pages depending on layout)
Example: Suppose you sell lunch boxes. You input 48 highly relevant competitor ASINs and check the keyword “lunch box”.
- If 4 out of the top 4 results are your competitors → Relevance = 100%
- If 10 out of the top 16 → Relevance = 62.5%
- If 35 out of the top 48 → Relevance = 72.9%
Since relevance can vary across positions (top vs. bottom), SellerSprite uses weighted averages, giving higher weight to higher rankings, to calculate a composite relevance score.
Interpretation of Relevance Levels:
- High Relevance (≥ 60%): The keyword is very closely aligned with your product. Prioritize it in ads and title.
- Medium Relevance (20%–60%): Partially relevant — good for testing or bullet points.
- Low Relevance (5%–20%): Use with caution — low accuracy in targeting.
- Irrelevant (< 5%): Skip these keywords—they are not related to your product.
Why It’s Better
- Uses real-time data based on current rankings
- Avoids bias caused by stale keyword databases
- Supports custom keyword input — you’re not limited to preloaded terms
- One-click operation—no manual copy/paste needed
You can enter up to 48 competitor ASINs and 200 keywords in a single query. This feature is free for all registered users.
Step-by-Step Guide
Step 1: Build a Precise Competitor ASIN Library
The relevance filtering logic depends heavily on the accuracy of your competitor list. Make sure the ASINs you input are highly similar to your product.
1.1 Four Sources to Find Competitors If your product isn’t listed on Amazon yet:
- Search Result Mining: Use "My Product List" extension feature to collect the top 3 pages of search results for your core keyword.
- BSR List Analysis: Go to your target category’s BSR page and collect the Top 100 ASINs using "My Product List" extension feature.
If your product is already live:
- Related-Item Mining: Use SellerSprite’s "Related Products" feature to find where your product has appeared in other listings.
- Ad Report Backtracking: Use your own ad reports to find competitor ASINs shown in auto ads or on your detail page.
1.2 5-Dimensional Competitor Evaluation
Once you have 50–100 candidate ASINs, filter them by:
- Category Match: Same browse node
- Visual Similarity: Color, material, shape
- Functional Match: Must solve the same problem
- Price Band: Within ±15% of your expected price
- Substitutability: Can it fully replace your product?
Best Practice Tips:
- Use ~48 ASINs: That’s the number of organic results on one desktop search page.
- Avoid too few ASINs: Risk of data bias from low-performing competitors.
- Avoid too many ASINs: Slows down crawling and reduces accuracy.
- Include a mix of top-sellers and high-similarity products.
Step 2: Build a Comprehensive Keyword List
Use these four keyword-sourcing tools in SellerSprite to maximize your coverage:
2.1 Reverse ASIN
- Use “Reverse ASIN” to pull 30-day search keywords for a single ASIN
- Use “Reverse Multiple ASINs” to get de-duplicated keyword lists for multiple ASINs at once (up to 20 ASINs)
2.2 Keyword Mining
- Start from a core term to expand into related long-tail keywords
- Uses seed keyword to locate relevant products and extract associated keywords
2.3 Keyword Explorer
- Use “Keyword Explorer” to find the keywords where an ASIN ranks in the top 3 clicked positions (Brand Analytics-based)
- Best for top-tier ASINs with high visibility
2.4 My Keyword List
- After collecting thousands of terms, use filters to exclude low-volume, irrelevant, or underperforming keywords
- Then save them to your “My Keyword List” (duplicates will be auto-removed)
Step 3: Start Keyword Relevance Check
1. Go to the SellerSprite Extension → Relevance Check
2. Copy/paste your prepared competitor ASINs from “My Product List” and keywords from “My Keyword List”
3. Click “Search” and wait for results to load
Results are sorted by Relevance Score by default.
You’ll also see supporting metrics to help with filtering:
- Keyword Performance Score: Compares each keyword’s relevance to the average
- Competing Products: Measures keyword competition
- ABA Rank/W & Searches/M: Traffic potential
- Purchase Rate: Conversion strength
Practical Example:
- Medium/High relevance + high monthly search → use in title & ads
- Very high relevance + average search → use for exact-match targeting
- Low relevance or low conversion → deprioritize or exclude
This tool saves you hours of manual research and helps you refine a keyword library that is accurate, relevant, and tailored to your product’s positioning.
Try it now and experience the precision!
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