Add an Amazon negative keyword when you have a clear reason to exclude the traffic it can block. Obvious product mismatch and disappointing performance are different reasons—and they deserve different checks.
A search term with no orders might be irrelevant. It might also have too little evidence, an expensive bid, or a product page that does not answer the shopper’s question. Excluding it can stop further spend, but it will not explain which problem you had.
01Separate customer intent from campaign performance
Amazon distinguishes customer shopping queries from the keywords advertisers target. Its Sponsored Products targeting guide ↗ explains negative targeting and the use of negative phrase and negative exact matching, including close variations.
That distinction matters during a search-term review. A target can reach multiple queries; a disappointing query does not automatically make the entire target unsuitable. Inspect what the customer appears to want and which product your ad presents.
Use a recent search-term export alongside the advertised product, campaign objective, and relevant performance data. Preserve the original report so decisions can be checked later. Do not treat a phrase in isolation from the product it was matched to.
02Sort terms into three decisions
The table below uses hypothetical examples for an insulated, adult-size steel bottle with no replacement parts sold separately. These are editorial scenarios, not results from a client account.
| Search intent | What needs checking | Likely decision |
|---|---|---|
| A replacement lid for a different brand | Confirm that your product cannot meet the request | Consider excluding the incompatible intent |
| An insulated bottle for commuting | Relevance is plausible; inspect spend, reporting maturity, and the offer | Investigate performance before exclusion |
| A term meeting the campaign’s contribution goal | Confirm attribution, product mix, and enough evidence | Keep monitoring; consider a controlled targeting test |
The middle group is where discipline matters most. “No orders” is a description of the observed report, not a complete diagnosis.
03Put spending in economic context
Imagine a relevant term with $18 in spend and no attributed orders. If each acquired order can support only $6 in advertising while meeting your contribution goal, that spend represents three modeled acquisition allowances.
It is a reason to review promptly. It is not a universal rule to exclude the term after three allowances, nor proof it will never convert. The example is hypothetical and assumes the $6 allowance has already been calculated correctly.
Check whether recent clicks have had time to produce reportable outcomes. Then inspect the product offer: availability, price, delivery expectations, and whether the page supports the searched use case. If the product is relevant but the click cost is too high, a bid adjustment may be a more precise first test than exclusion.
Amazon’s guide recommends evaluating performance after at least 20 clicks before making a negative-target decision. Treat that as platform guidance, not a statistical guarantee or an obligation to fund plainly incompatible traffic. Your costs, relevance, and reporting context still matter.
04Choose the narrowest appropriate exclusion
Negative phrase and negative exact have different scope. Review the current platform definitions before choosing between them, particularly when a phrase can appear within useful longer searches.
Do not exclude a broad concept just because one variation performed poorly. For the hypothetical bottle brand, a specific incompatible replacement-part request is different from the broad word “bottle.” The business needs to stop the unsuitable intent without casually shutting out relevant demand.
Also verify where you are applying the change. The intended campaign or ad-group scope should match the reason for exclusion. A mismatch for one product may be a valid opportunity for another.
05Keep a decision log you can revisit
Record the query, product, reason, match type, scope, date, and review owner. Save the supporting report period and a short explanation of the alternative actions you considered.
Amazon notes that negative targets can be removed. Reversibility is useful, but a removed exclusion does not recover the opportunities missed while it was active. Review the consequences rather than forgetting the change once spending falls.
- Confirm the exclusion was applied to the intended location.
- Check whether useful traffic also declined.
- Compare contribution and orders alongside spend.
- Note concurrent price, inventory, or listing changes.
- Revisit assumptions when the product or its supported uses change.
The strongest negative-keyword process is selective. It protects spending where the mismatch is clear and preserves the chance to learn where the evidence remains incomplete. That judgment is a practical part of Amazon PPC management ↗.
Platform facts checked October 7, 2026. Examples and decision frameworks are Go Massive’s analysis.