Low Amazon Ad Conversion Rates? Effectively Filter Keywords and Refine Negative Targeting to Reduce Costs from Invalid Clicks.
About the author: 8 years of experience in Amazon advertising and data optimization, having provided advertising structure optimization solutions for sellers in 30+ niche categories, specializing in reducing ineffective costs by more than 20% through keyword filtering.
Low conversion rates are a common bottleneck for most sellers in Amazon advertising operations. To break through this predicament, effectively filtering keyword performance in Amazon's advertising data and combining it with a negative targeting strategy is the core method to directly reduce wasteful spending. Many sellers spend thousands of dollars a month on automatic advertising but never perform an effective Amazon filtering of search term reports . As a result, a large portion of their budget is wasted on irrelevant traffic, and conversion rates remain difficult to improve.
I. Why must keyword selection for advertising be combined with search term reports?
Search terms generated by automated ads often contain a large amount of traffic unrelated to the product. Without filtering, the system will continue to spend money on these invalid keywords.
Matching error : Selling "stainless steel water cups" but matching results for "plastic cups" or "glass cups," clicks don't convert.
Brand infringement risk : Including competitor brand keywords may lead to complaints and wasted budget.
High click-through rate but no conversion : Some keywords were clicked dozens of times, but not a single order was made; this is pure click-through.
Seasonal/Non-target audience : For example, "Christmas gifts" are only effective during specific periods and should be suspended at other times.
Correct practice: Export search term reports weekly, sort by click volume in descending order, and determine the relevance of each term to the product.
II. How to use negative exact matching to filter inefficient traffic?
Negative targeting is the lowest-cost and most effective optimization tool. It can prevent ads from being displayed for specific search terms.
Negative keywords indicating non-purchase intent , such as "free," "repair," "instruction manual," and "second-hand."
Deny irrelevant attributes : Sell "wired headphones," deny the existence of "Bluetooth" and "wireless."
Deny incorrect models or sizes : Sell "iPhone 14 cases," deny "iPhone 13" and "15" models.
Neglecting competing brands (provided compliance is ensured): For example, if selling "sports water bottles," reject brands like "Stanley" and "Yeti."
For every high-click, low-conversion keyword that is rejected, ACOS can decrease by an average of 3%-8% .
III. Methods for selecting high-converting keywords for targeted ad groups
Negation is merely a defense; offense relies on high-converting keywords. Filter keywords from the search term report that have ≥10 clicks and ACOS ≤ the target value.
Bid Adjustment : Create separate exact match ad groups for high-converting keywords, with an initial bid 10%-20% higher than the recommended bid.
Matching methods have been upgraded : from broad to phrase to precise, gradually narrowing the traffic scope.
Regular review : High-converting keywords may also decline over time, so review their performance every two weeks.
Expand long-tail variants : For example, if the "1-liter waterproof sports water bottle" performs well, a "1.5-liter large-capacity sports water bottle" could be added.
Once targeted ad groups are enabled, the overall conversion rate can typically increase by 15%-30% , while reducing invalid exposures.
IV. Common Misconceptions and Guidelines for Avoiding Negation
Many sellers overdo negative reviews, leading to a depletion of traffic. The prerequisite for effective negative reviews is sufficient data.
Before negating, check the amount of data : words with fewer than 10 clicks should not be negated (the sample size is too small).
Differentiate matching methods : exact negation only applies to the word itself; negative phrases will block all searches containing the word.
Avoid negative keywords : For example, "water cup" may have a few invalid clicks, but negativeing it will result in a significant loss of relevant traffic.
Negative keyword databases for brand advertising and product promotion should be maintained independently.
Recommendation: After each negative keyword, observe the changes in exposure and clicks for 3-7 days to prevent false negatives.
V. How can periodic screening mechanisms be combined with screening tools to improve efficiency?
Manually filtering search term reports is a huge workload for sellers with multiple SKUs. This is where a professional filtering tool – ITG Global Filter – comes in handy for a more systematic approach. This tool automatically connects to search term reports in the Amazon Ads backend, batch-marking high-potential keywords and ineffective negative keywords based on your set ACOS thresholds, conversion counts, clicks, and other criteria, and generating a suggested action list. For sellers with multiple stores and product categories, ITG Global Filter can also aggregate performance data for the same keywords across stores, avoiding duplicate negative keywords or missed opportunities. Running a filtering task weekly can reduce what used to be a 2-hour Excel task to less than 10 minutes, with a consistent filtering logic that prevents problematic keywords from being missed due to human fatigue.
Conclusion
The key to reducing invalid click costs on Amazon ads lies not in increasing the budget, but in consistently implementing effective Amazon filtering . By identifying high-converting keywords through keyword reports, precisely negating inefficient traffic, and using tools like ITG's global filtering for periodic automated screening, you can significantly improve ad ROI without sacrificing exposure. We recommend starting today with a weekly screening mechanism and sticking to it for a month; you'll find that the changes in ACOS are more real and reliable than any "black technology."
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