Amazon's benchmark tool never tells you to cut spend

Amazon Ads updated its benchmark guidance on Nov 11, 2026 with eight metrics and 16 recommended actions. Every favorable result points toward scaling, raising investment or bidding higher, and none of the 16 suggests cutting a budget or pausing a campaign. Read the tool as a position report. Do not let it set your holiday pacing.

What the November update actually contains

The guidance lives on an Amazon Ads Support Center page called "Understanding benchmark metrics and recommended actions," which carries the line "Updated on Nov 11, 2026." The page does not say what changed on that date.

The shape of it is a table. For each metric Amazon gives a Planning action and an Optimization action for performance above benchmark, then the same pair for performance below it. The page covers eight metrics and 16 recommended actions in all. The eight are completion rate for video ads, cost per completed view for video ads, cost per purchase new to brand, CPC, CPM, CTR, percent of purchases new to brand, and purchase rate new to brand.

Benchmarks are not new. Amazon launched them on November 19, 2025 as self-service insights in Campaign Manager, Report Center and the API, and they reached general availability on May 18, 2026 across 18 countries, ending a US-only beta. What arrived last week is the instruction layer sitting on top of the numbers.

A benchmark here means the performance of a peer set Amazon assembles for you, shown at three levels. Those levels are percentiles, written p25, p50 and p75, where p50 is the middle of the peer group and p25 and p75 mark the quarter below and the quarter above. Amazon illustrates them in unified reporting as "CTR (p25), CTR (p50), and CTR (p75)." Which one you see depends on where you stand. The Campaign Manager insight card shows the median benchmark as a quick reference point, while the 25th and 75th percentile values sit in unified reporting and the Reporting API. An advertiser pacing inside the console is therefore looking at one number, not a range.

Every favorable result points at a bigger bid

Count the eight cells where you are beating your peers. A favorable result means above benchmark for the four rate metrics and below it for the four cost metrics. On PPC Land's count, every one of the eight favorable positions leads to a suggestion to scale campaigns, raise investment, increase budget or bid higher.

The two cost rows are the ones worth sitting with. When CPC is below benchmark, the optimization action is "Test increasing bids to capture more premium placements." When CPM is below benchmark, it is "Test increasing bids to access premium inventory while maintaining efficiency." An advertiser paying less per click than its category is being pointed toward paying more, and if the test works as described, the gap it was winning on closes.

The other half of the table, where you trail your peers, is written as review and reallocation. Test shorter videos, review ad spend distribution, balance budget between prospecting and retargeting, reallocate to better-performing campaigns. None of the 16 suggests reducing a budget or pausing a campaign, and as PPC Land puts it, reallocate and balance move money between campaigns rather than taking it out. There is no cut path.

Amazon frames the table honestly enough. The page states that the suggestions "serve as general guidance to help inform your strategy, but are not exhaustive" and that your own goals and market conditions should guide how you act. That caveat is the part to take seriously.

My read on the motive comes from the shape of the table, not from anything Amazon has said about its intent. Every good result is paired with a suggestion to spend or bid more, while no result is paired with a budget cut, and a table built that way works as a pull on the ad auction rather than a neutral budgeting framework. Nothing here is hidden or improper. It is a vendor's optimization surface, and a vendor whose revenue comes from the auction has little reason to build a cell that says spend less.

There is also a term the page leaves hanging. The CPC row for results above benchmark recommends adjusting bidding strategies and improving quality score, but the page does not define quality score or say where an advertiser would see one. An instruction you cannot act on, because the input is not exposed anywhere you can inspect, is not an instruction. It is filler.

A spend weighted median is not the typical brand

The methodology matters more than the actions. Amazon states that benchmarks use "ad-spend weighted calculations where each peer brand's influence reflects their market activity," with balancing controls so no single brand skews the result. The stated purpose of that approach is to ensure that "larger brands aren't disproportionately affected by smaller competitors in the same category."

So the middle of your peer group is weighted toward the brands spending the most in it. If your category holds brands spending many times what you do, the p50 you are measured against sits closer to their economics than to yours. Being below that median on CTR may say more about who carries the weighting than about your creative.

The labels invert on cost metrics, too, which is easy to misread at speed. Rate metrics run low to high, so the bottom 25% "Shows baseline performance level" and the top 25% "Shows strong performance level." Cost metrics run the other way, so a brand in the top 25% for CPC is among the most expensive in its peer group, the opposite of what the same label means for click-through rate. Top is good in one column and bad in the next.

Benchmarks diagnose position, they do not pace a budget

Amazon's framing is that benchmarks let advertisers optimize current campaigns and plan their next strategic investments based on competitive insights. The first half of that is fair. Knowing your CPC sits in the expensive quarter of your category is genuinely useful context you could not assemble yourself. The second half is where the tool stops being a tool and starts being a prompt.

Reporting tools make execution and measurement easier. They do not supply strategy, because strategy is the part where you decide what you are unwilling to spend. The recommendation table operates one level down from that decision, at bids and campaign budgets. Our published work with glassware brand Lemonsoda is one account where the problem did not sit at that level. Across 1,000 plus SKUs and three marketplaces, ACOS moved from about 60% to about 33% over a year, on an account running about 25 minutes a week hands-on, and the published point of that engagement is that efficiency at that catalogue size was structural rather than bid-level. Whether yours behaves the same way is a question to answer with your own data, but it is worth asking before a per-metric nudge sends you to the bid field.

If you are weighing how much of this work belongs in the console, in software or with an operator, our breakdown of manual, software and agency management of Amazon ads walks through what each approach actually decides for you, which is the right question to ask of any recommendation surface.

Decisions for the week before Black Friday

Use the benchmark data, ignore the verbs. Concretely, for the next ten days:

• Pull p25, p50 and p75 from unified reporting or the Reporting API rather than reading only the median card in Campaign Manager, so you see the spread your peer group covers instead of one point in it.
• Write your own rule for each of the eight metrics before you look at the table, including the result that makes you cut. The tool will never supply that half.
• Treat any below-benchmark CPC or CPM as information about your peer set's spending weight first and as a bidding opportunity second.
• On fixed-window events, watch how the daily budget is delivered across the hours, not only whether it was consumed. On a one-day or four-day window, when the money is spent decides what the window returns, and a recommendation to raise a budget says nothing about delivery.

The watch item is the next revision of that page. It was last touched on November 11, 2026, in the middle of Q4 bidding, and the version worth paying attention to is the one that finally includes a cell telling an advertiser to spend less. Until then, the benchmark table is a mirror with a sales line attached. If you want a second read on your Q4 pacing before Black Friday week, book a walkthrough or compare what managed and self-service actually decide on your behalf.