About this video
In this video, we share our views on another way of using negative keywords.
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Transcript
Frequently asked questions
What is the difference between using negative keywords to save money versus using them to define what your product is not?
The traditional approach treats negative keywords as a reactive cost-saving tool: you review the search term report, find clicks that did not convert, and add those terms as negatives. The more strategic approach uses negative keywords proactively at the start of a campaign to communicate product relevance to Amazon's algorithm. By defining what your product is not at launch, you help Amazon index your listing correctly and avoid spending the early campaign period showing up in irrelevant searches. This is especially effective during ranking campaigns where relevance signals matter most for organic placement.
Can over-negating an Amazon PPC account actually hurt performance?
Yes. Amazon's predictive algorithm has become significantly more accurate at matching ads to purchase intent, which means that many search terms that generate clicks without immediate conversions are still providing quality signals that help the algorithm learn. Aggressively excluding terms based on a small number of clicks strips the campaign of traffic that Amazon would have otherwise filtered toward likely conversions over time. The result can be a campaign that spends less but also reaches far fewer qualified shoppers because its traffic pool has been artificially narrowed.
What is the threshold for adding a keyword to negatives based on performance data?
A keyword should not be negated based on one, two, or even a handful of clicks. The more reliable signal is the combination of three conditions: a high number of clicks with no sales, a low click-through rate, and a low or zero conversion rate all on the same keyword. When all three are present, it suggests the keyword is genuinely misaligned with your product rather than simply unlucky with a small data sample. If a keyword has poor conversion but a reasonable click-through rate, the problem may be in the listing rather than the keyword, and negating it solves the wrong problem.
Before negating a low-performing keyword, what should I check first?
Search for that keyword in Amazon using an incognito browser and look at the first page organic results. If the page is full of products that look nothing like yours, the keyword is genuinely irrelevant and negating it is appropriate. If the products on the first page are similar to yours but your listing looks significantly weaker in terms of pricing, images, reviews, or relevance, the problem is not the keyword but the listing itself. In that case, a bid reduction or a pause is preferable to a permanent negative, because the keyword could become profitable once the listing improves.
When should negative keywords be set proactively at campaign setup rather than added reactively later?
Proactive negatives are most valuable for niche products with a very clear definition of what they are and are not. If your product is a specific type of supplement for a specific use, you can identify at setup the broad categories, competing product types, or unrelated use cases that would attract irrelevant traffic. Adding those as negative phrase matches before any spend occurs prevents wasted clicks during the early campaign period when the algorithm is still learning. For general, taste-dependent, or broadly applicable products, the product definition is harder to pin down and reactive negating based on performance data becomes more necessary.
Should I use negative exact match or negative phrase match, and what is the difference?
Negative exact match blocks your ad only when a shopper types that precise term with no additional words. Negative phrase match blocks your ad whenever that phrase appears anywhere within a search query. Negative phrase match is more powerful and more broadly protective, but also carries a higher risk of accidentally blocking related terms that might still be relevant. For irrelevant broad categories, negative phrase match is appropriate. For specific terms that are only problematic in their exact form, negative exact match gives you more surgical control without over-blocking adjacent searches.
