Every year brings a fresh round of Amazon advertising benchmarks: average ACoS, average CPC, average conversion rate, sometimes by category. Sellers compare their numbers, feel good or bad, and sometimes change their strategy to close a gap that was never meaningful.
This guide takes a different approach to benchmarks for 2026. It covers which numbers are worth benchmarking, why published averages mislead, and how to build benchmarks from your own data that tell you when something has changed and what to do about it. It does not give you a table of averages, because an average across other people's accounts is rarely the right target for yours.
Why published benchmarks mislead
A published average blends accounts that have little in common. Low-price consumables and premium durables. Brands with strong organic rank and new listings with no reviews. Campaigns built for profit and campaigns built for launch. The average describes none of them well.
The samples also differ. An agency's benchmark reflects its clients, who may skew toward a certain size or category. A software company's benchmark reflects its users. Neither is a random sample of Amazon advertisers, and the methods are rarely published in enough detail to check. ACoS benchmarks by category goes into why even category-level figures vary so much.
None of this makes external figures useless. It makes them context, not targets.
The benchmarks worth tracking
Break-even ACoS, per product. The most important benchmark in the account, and it is not an industry figure. It comes from your price and costs. What is a good ACoS walks through it.
Target ACoS or TACoS, per product. Set by goal: launch, growth or profit. TACoS targets by stage covers how targets change over a product's life.
Your own CPC trend. Your CPC on your main keywords over time tells you how competition is moving in your corner of the market, which is more useful than a category average. CPC trends in 2026 covers the wider pattern.
Your own conversion rate, by product. The most sensitive indicator of listing health and price competitiveness.
Click-through rate, by keyword type. Brand, generic and competitor terms have very different CTRs. Benchmark each against itself. CTR optimization covers what moves it.
Building your own benchmarks
Step 1. Pick a stable period. Three to six recent months without major stockouts, launches or events. This is your normal.
Step 2. Calculate each metric above at the level you make decisions: by product and by campaign type. Account-wide averages hide too much.
Step 3. Record a range, not a point. Note the typical week-to-week variation for each metric. A conversion rate that moves within its usual range is noise. One that falls outside it is a signal.
Step 4. Add seasonal versions. If you have last year's data, calculate the same benchmarks for each quarter, especially Q4. CPC and conversion rate in November are not comparable with those in March.
Step 5. Refresh quarterly. Benchmarks drift as competition, prices and your own listings change. A benchmark from two years ago is history, not a standard.
Using benchmarks to make decisions
A benchmark is only useful if it triggers an action. For each one, decide what you will do when a metric moves outside its range.
ACoS above target for two weeks running: check whether CPC rose or conversion fell, then act on the cause. Conversion rate below its usual range: check price, stock, buy box, reviews and competitor activity before touching bids. CPC above its usual range on main keywords: check whether a competitor entered, and decide whether to hold position or let the placement go.
Write these responses down next to the benchmarks themselves. When a metric moves at a busy moment, a decision made in advance is quicker and calmer than one made under pressure.
These responses are what turn benchmarks from a report into a monitoring system. Many of them can be set as alerts so you hear about the change the same day rather than at the end of the month.
Where external benchmarks still help
When you have no history. A new seller with no data can use published ranges as a rough sense of what to expect in the first months, as long as they are replaced with real data as soon as it exists.
When entering a new category. External figures can help size a budget for a category where you have never sold.
As a sense check. If your CPC is several times the published range for a similar category, it is worth asking why, even if the answer turns out to be fine. Amazon's own console provides some category comparison data where available, which is closer to your situation than most third-party figures.
What changed going into 2026
The broad trends most sellers notice are more advertisers competing for the same placements, more ad formats on the search page including video, and more automation on both Amazon's side and sellers' side. Each of those affects benchmarks. More competition tends to push CPCs up. More formats change where clicks land. More automation means competitors respond faster. The state of Amazon advertising in 2026 covers these shifts. The practical effect is that benchmarks need refreshing more often than they used to.
Frequently asked questions
What is a good ACoS on Amazon in 2026?
A good ACoS is one below your break-even ACoS that meets the goal for the product. A launch can justify a higher ACoS; a mature product with a profit target needs a lower one. Industry averages vary too much by category, price and margin to serve as a target.
Where can I find Amazon advertising benchmarks?
Amazon provides some category-level comparison data in the advertising console and reports, where available. Agencies and software companies publish averages from their own client bases. The most reliable benchmark is your own history, compared over the same periods.
Why do Amazon advertising benchmarks vary so much?
They mix different categories, price points, margins, brand strength and campaign goals. A low-price consumable and a premium durable product can both be well run with very different ACoS, CPC and conversion rates. An average across both describes neither.
Off Hours performance rules and free spend alerts act when a campaign moves outside the range you set, so your own benchmarks become a monitoring system. Start a free 14-day trial.