💡 Reverse Multiple ASINs – Click here to open the tool
How It Works
The Reverse Multiple ASINs feature works similarly to Reverse ASIN, capturing all search terms that brought an ASIN into the top 3 pages of Amazon’s search results in the past 30 days. Unlike Reverse ASIN, this feature allows you to analyze multiple ASINs at once, merge the keywords, and remove duplicates automatically.
The system will also identify whether the ASIN you entered is the top-performing variation within its parent listing (i.e., the one with the most keywords). You can then choose to analyze all variations under the listing, only the top-performing variation or just the ASIN you entered.
How to Use
1. Input ASIN(s)
Single ASIN: Paste one competitor ASIN into the search bar
Multiple ASINs: Paste up to 20 ASINs, using:
Space or comma separators
Column copy from TXT or Excel
2. Choose Reverse Method
After clicking “Search,” if the ASIN belongs to a parent listing with multiple variations, you’ll see a pop-up.
Select your preferred option:
All Variations: Combines keywords from all variations in the listing (most comprehensive)
Top-Performing Variation: The system will switch to the ASIN with the most traffic keywords (recommended for better results)
Entered ASIN: Uses only the ASIN you entered
3. View & Analyze Keywords
The results will include keyword-level metrics such as:
Impression Share
Related ASINs
Monthly Search Trend
ABA Weekly Rank
Monthly Search Volume
SPR (SellerSprite Product Rank)
Results are sorted by default in descending order of impression share, but you can adjust the sorting rules by any metric.
4. Filter Keywords
4.1 Use Advanced Filters
Use the filter bar below the search box to exclude low-quality keywords:
Set a M. Searches range to remove low-traffic terms
Use ABA Rank/W to focus on high-ranking keywords
Filter by SPR to find easier-to-rank keywords for ad targeting
4.2 Assess Keyword Relevance
Switch to Top 10 Products to preview the top 10 organic listings for each keyword.
Quick relevance check:
If many of the top 10 listings match your product, the keyword is highly relevant.
If few or none match, it’s likely irrelevant and should be removed.
To delete a keyword, hover over the number at the front of the row and click × icon.
5. Export & Apply
Export your filtered and refined keywords or add them directly to My Keyword List. You can use this for listing optimization, PPC campaign creation or market opportunity analysis.
Use Cases
Use Case 1: Identify Top-Performing Variations
For multi-variation products, traffic is often concentrated in just one or two variations.
Example: A makeup bag comes in 4 colors, but black generates the most sales and search visibility. Other colors benefit passively.
With Reverse Multiple ASINs, you simply enter any ASIN from a parent listing, and the system will detect whether it’s the top variation. If not, it prompts you to switch to the top-performing or all variations. This saves time and ensures you're analyzing the most relevant data.
Use Case 2: Build a Competitor Keyword List at Scale
You can bulk-search up to 20 competitor ASINs and instantly build a massive, de-duplicated keyword list.
Example: Step 1: Identify top-ranking products in the “Kids’ Backpacks” BSR
As seen above, using all variations gives nearly 60x more keywords than using a single variation.
Use Case 3: Refine Keywords
Remove irrelevant or low-traffic keywords to build a cleaner keyword list.
Use filters such as: ABA Rank/W < 100,000 or M. Searches > 5,000
(Tip: Adjust thresholds based on your category size)
Use “Top 10 Products” to visually check keyword relevance. If the top listings don’t match your product type, it’s likely not a good keyword. Then you can click × icon to delete irrelevant ones.
Use Case 4: View High-Frequency Terms
High-frequency terms are words that appear frequently across traffic keywords. The number in parentheses indicates how many times the word appears — the higher the number, the more keyword phrases it’s included in, meaning the higher its weight.
By analyzing term frequency, you can quickly identify common usage scenarios for the product and categorize terms based on attributes and keyword importance.