How the Amazon Negative Keyword Tool Recommends Negative Keywords
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Quick answer
Amazon negative keyword recommendations are produced by evaluating search terms against campaign-specific performance signals like spend, clicks, orders, and return on ad spend. The tool groups terms that fall short of the advertiser’s targets into review categories such as negative keyword candidates, bid-reduction opportunities, or queries needing more data. Those suggestions remain read-only until a team member approves changes.
For Amazon advertisers managing broad or auto campaigns, this recommendation flow turns raw search-term reports into a short list of budget leaks. It does not pause campaigns automatically; instead, it keeps control with your team while removing the manual sorting work.
How Search Terms Are Classified
The tool starts with imported Search Terms reports from CSV/XLSX upload or scheduled email. It then compares each term against account goals and campaign-specific signals. A query with many clicks and spend but no orders may be labeled a negative keyword candidate. A term with some sales but weak ROAS may be marked for a bid reduction. Low-volume queries often fall into a separate group needing more data before action.
- Negative keyword candidates for spend without conversion
- Bid-reduction opportunities for marginal ROAS
- Needs more data for low-volume terms
Why Human Approval Still Matters
The process is intentionally read-only. Automatic negating can block profitable long-tail variations too early, especially when a term has limited data. The Amazon Negative Keyword Tool by Todoza surfaces recommendations but requires an editor or team member to approve negative keywords or bid changes. This workflow is useful across the 10 supported marketplaces and multiple accounts with role-based access.
When Negative Keyword Suggestions Matter Most
This matters when a campaign has high impression share or high spend but weak conversion. A search term can look active because it receives many impressions, yet still lose money if clicks rarely turn into orders. In those cases, reviewing recommended negatives and bid reductions helps connect search term performance to profitability rather than relying on share alone.
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Even strong Amazon search term visibility can mask wasted ad spend. Negative keyword recommendations give advertisers a structured way to review which queries truly support sales and ROAS goals, tying directly back to the broader challenge of high share campaigns that still underperform.