How Amazon Negative Keyword Tool Classifies Search Terms
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Quick answer
Search term classification in the Amazon Negative Keyword Tool is the process of evaluating each term against spend, clicks, sales, and return on ad spend (ROAS) to determine whether it should become a negative keyword, a bid reduction candidate, or remain under review. The tool separates terms with poor efficiency from those that need more data, giving teams a structured cleanup workflow. It is read-only, so changes still require approval before they are applied.
That classification step is useful when search term reports become large and manually sorting them becomes time-consuming. Instead of treating every low-selling term the same way, the analysis organizes review work around clear next actions.
How the classification logic works
The tool looks at each search term in the context of its campaign and compares observed performance against the relevant targets. It uses spend, clicks, sales, and ROAS as the core inputs, then groups terms based on whether the data supports a negative keyword, a bid adjustment, or more observation.
For example, a term with meaningful spend and clicks but no sales may be flagged differently from a term that shows strong ROAS but has low volume. The Amazon Negative Keyword Tool by Todoza keeps this review read-only, so your team can validate recommendations before applying changes.
Negative keyword candidates, bid reductions, and review
The main classification buckets help teams act quickly:
- Negative keyword candidates usually show spend that does not lead to orders, making them targets for exclusion.
- Bid reductions apply to terms that convert but at an inefficient cost, so lower exposure may improve overall account efficiency.
- Under review includes terms where there is not enough data yet to make a confident call.
Because the tool is read-only, these groups act as a review list rather than an automatic rule engine.
When this matters for day-of-week analysis
Search term classification becomes more useful when it is combined with timing data from Amazon Ads performance by day of week. A term that looks acceptable across a full week may still waste budget on specific days, while another term may only appear inefficient because one high-spend day skewed its ROAS.
Reviewing classification alongside daily performance helps teams decide whether a term is truly a negative keyword or simply needs a schedule-aware bid adjustment. This is especially relevant for teams evaluating campaigns across multiple marketplaces and accounts.
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Once search terms are classified, the next step is to connect those findings back to day-of-week trends and broader campaign performance. That makes the negative keyword review part of a more complete Amazon Ads analysis workflow rather than a standalone cleanup task.