Rank Search Terms by Spend, Conversion, and Match Type
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Quick answer
Ranking search terms by spend, conversion, and match type is the process of organizing Amazon Ads keywords to reveal which queries are driving significant ad budget, delivering sales, or matching broadly or narrowly within campaign settings. This method helps pinpoint high-cost, low-return terms and informs smarter ad optimization and negative keyword decisions.
If your Amazon Ads budget feels drained by unproductive clicks, looking closely at how your search terms rank for spend, conversion rate, and match type is one of the best ways to target improvements. Understanding these metrics together can uncover costly patterns or opportunities for better performance.
Why Analyze Search Terms Across Multiple Metrics?
Evaluating search terms solely by spend can overlook terms that cost a lot but never convert. Including conversion data highlights which searches actually lead to sales, while sorting by match type reveals where broad or phrase matches might be triggering irrelevant ad impressions. Together, these metrics provide a holistic view to stop budget waste and focus efforts.
How to Rank and Interpret Search Term Performance
Start by exporting your Amazon Ads search term report. Within this data, sort search terms by total spend to find those using the most budget. Next, compare conversion rates and sales volume to spot low-performing keywords. Separating out match types (exact, phrase, broad) can uncover if certain matches are needlessly consuming budget. Tools like the Amazon Negative Keyword Tool by Todoza automate this ranking—saving manual effort and flagging possible negative keyword candidates.
When This Matters Most
Ranking by these criteria is crucial if campaigns frequently exceed target ACoS, or if the ad budget is not producing expected sales. Large catalogs or brands with multiple products especially benefit, as budget can be easily scattered across underperforming or irrelevant searches.
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Related guides
Organizing Amazon Ads search terms by spend, conversion, and match type is foundational for uncovering hidden ad waste and taking action with negative keywords. For more strategies on efficient brand bidding, explore our main guide on preventing wasteful brand bidding with negative keywords.