How the Amazon Negative Keyword Tool Improves Evaluation
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Quick answer
The Amazon Negative Keyword Tool improves evaluation by identifying poor-performing search terms with campaign-specific performance metrics, not a single averaged ROAS cutoff. It compares each query’s spend, clicks, orders, sales, and return on ad spend within the context of its own campaign. This targeted method reduces the risk of hiding low performers inside blended averages and makes optimization decisions easier to review.
For Amazon Ads managers, the practical shift is from asking “does this row beat my average?” to “does this search term perform poorly for the campaign it belongs to?” That is the same idea behind avoiding averaged ROAS: a blended number can hide waste. The Amazon Negative Keyword Tool by Todoza turns that concern into a cleanup workflow with negative keyword suggestions.
Why campaign-specific metrics change the evaluation
Row-level ROAS averages can combine profitable and wasteful search terms into one misleading number. The Negative Keyword Tool avoids that by evaluating each query against its own campaign data, including spend, clicks, orders, sales, and ROAS.
That means a term with low sales but very high spend can be flagged even if the account’s overall average looks acceptable. The review becomes more precise because the context is the campaign where the search term actually ran, not a blended account-wide benchmark.
What the tool flags during a review
The workflow imports Search Terms reports from CSV/XLSX files or scheduled email, then groups underperforming queries into review categories. Common outcomes include:
- Negative keyword candidates for terms that spend without meaningful orders
- Bid-reduction opportunities for terms with weak but non-zero performance
- “Requires more data” status for queries that do not yet have enough signal
Because the tool is read-only, no negative keywords or bid changes are applied automatically. Teams review the Cleanup Plan and approve actions before anything changes in Amazon Ads.
When campaign-specific review matters most
This level of detail is especially useful for accounts with large search term lists, multiple campaigns, or products with different margins. A single averaged ROAS threshold can hide waste in one campaign while over-restricting another.
Teams managing multiple marketplaces or ad accounts can use the tool’s cross-campaign visibility to spot waste that would otherwise stay buried in Amazon’s native summary views. It supports up to 10 Amazon marketplaces, so the same evaluation logic can be applied consistently.
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Related guides
Better evaluation is less about finding one perfect ROAS number and more about seeing each search term in its own campaign context. That is the same principle covered in the broader guide on why averaging ROAS across Amazon Ads rows gives the wrong answer: row-level averages can mislead, and tools that preserve campaign-specific detail make waste easier to act on.