Transform Your Amazon Search Terms Into Actionable Insights

How search term signals become actions

Each search term can be evaluated against its own campaign context rather than treated as a standalone keyword. The most useful split is usually three-directional: terms that consistently underperform may become negative keyword candidates, terms with high spend and weak returns may justify bid reductions, and terms with limited clicks or sales may simply need more data before a final call.

This approach avoids blanket rules that can harm useful long-tail queries. Campaign-specific metrics such as sales and ROAS keep the review tied to actual performance, not just impressions.

From raw reports to a prioritized cleanup queue

Search term reports are often bulky. A practical workflow starts by importing the data, then grouping queries by performance signals. The Amazon Negative Keyword Tool by Todoza is designed to turn those reports into a prioritized cleanup queue, so teams spend time reviewing the highest-impact opportunities first.

• Import Sponsored Products search term data for deeper analysis.
• Sort queries by waste, ROAS, and volume to identify the most urgent adjustments.
• Keep approvals manual so no campaign changes happen without a human check.

When this matters most

This type of search term review becomes most valuable when ad spend is spread across many campaigns or marketplaces. Without a structured queue, scattered waste can hide inside aggregate ACOS or ROAS totals. A read-only analytics process is especially useful for teams that need to align on decisions before changes are made in the Amazon console.

Supported marketplace analysis across US, UK, DE, FR, IT, ES, CA, AU, UAE, and JP makes the same cleanup logic repeatable across regions.