How to Detect Wasteful Search Terms Distorting Your Conversion Rate

Review search queries by spend and conversion signal

Start with raw search term data rather than campaign-level averages. A query can look acceptable in aggregate while hiding pockets of high spend and weak conversion.

Use a structured review that flags terms where:

• Spend is meaningful relative to account targets
• Clicks do not lead to orders or sales
• ROAS, ACoS, or CPA falls outside normal ranges for that campaign’s maturity

Imported reports with daily granularity make this easier to track. If you use CSV or scheduled email imports, keep the dataset complete before judging a term.

Don’t rely on a single fixed threshold

Wasteful search terms are not always obvious from one number. A low conversion rate on a new campaign may simply mean the term needs more data, while the same rate on a mature campaign can signal a genuine negative keyword candidate.

Use evaluation that weighs multiple signals together—like spend, clicks, orders, sales, ROAS, ACoS, CPA, conversion rate, and campaign maturity. A tool such as Amazon Negative Keyword Tool by Todoza applies this type of query-level classification before anything is changed.

This avoids overcorrecting early data and helps preserve terms that might still convert with more time.

Turn findings into an approval-based cleanup plan

Detection is only useful if it leads to controlled action. Work from a review list that separates negative keyword candidates, bid reduction opportunities, and terms that need more data.

• Negative keyword candidates: high spend with repeated clicks and no orders
• Bid reduction opportunities: some conversions but poor efficiency at current cost
• More data needed: limited clicks where performance is not yet reliable

Keep the process read-only during analysis, then approve negative keyword additions or bid changes manually. A dashboard view across marketplaces helps catch the same wasteful term appearing in multiple accounts.