Most Amazon sellers ask the wrong question first. They want to know "what's a good ACoS?" before they understand what ACoS actually measures. The answer to the first question is frustrating: there is no universal "good ACoS." Your target depends entirely on your product margins and your campaign objectives. But once you know how to calculate your break-even ACoS, you can set intelligent targets that align with your business model.
Let's start with the definition, then move to the math that matters.
ACoS stands for Advertising Cost of Sales. (Not "Average Cost of Sale," which is a common error you'll see in older content.)
ACoS measures how much you spend on Amazon advertising for every dollar of revenue those ads generate. It's expressed as a percentage.
If you spend $50 on ads and generate $200 in ad-attributed sales, your ACoS is 25%.
ACoS is the inverse of ROAS (Return on Ad Spend). While ROAS tells you how many dollars you earn per dollar spent, ACoS tells you what percentage of your revenue goes back into advertising. Both metrics describe the same relationship from opposite angles. Most Amazon advertisers use ACoS because the Amazon Ads console surfaces it as the default efficiency metric.
Let's walk through a real scenario.
Product: Stainless steel water bottle
Ad spend (30 days): $320
Ad-attributed sales (30 days): $1,280
ACoS = ($320 ÷ $1,280) × 100 = 25%
Your ACoS is 25%. That means for every dollar of sales generated by ads, you spent 25 cents on advertising.
Now the critical question: is 25% good or bad?
You can't answer that without knowing your margins.
There is no universal benchmark. A 25% ACoS might be profitable for one product and ruinous for another.
Here's why: ACoS only measures ad efficiency, not profitability. If your product has a 40% margin and your ACoS is 25%, you're profitable on ad-attributed sales. If your margin is 20% and your ACoS is 25%, you're losing money on every ad-driven sale.
The better question is: What's your break-even ACoS?
Your break-even ACoS is the point where ad spend exactly equals your profit margin. Spend more than this percentage and you lose money on each sale. Spend less and you're profitable (on a per-unit basis, ignoring overhead).
If your product has a 35% profit margin (after COGS, Amazon fees, fulfillment, and returns), your break-even ACoS is 35%.
Product: Yoga mat
Selling price: $40
COGS: $12
Amazon fees (15%): $6
FBA fulfillment: $5
Total costs: $23
Profit per unit: $17
Profit margin: ($17 ÷ $40) × 100 = 42.5%
Your break-even ACoS is 42.5%. If your campaign is running at 30% ACoS, you're profitable. If it's running at 50%, you're losing money on every ad-driven sale.
This is the single most important number for setting intelligent ACoS targets.
Once you know your break-even ACoS, you can set targets based on what you're trying to achieve.
There is no "correct" target. The right ACoS depends on your business objectives, product lifecycle stage, competitive intensity, and profitability tolerance.
ACoS measures ad efficiency in isolation. It only counts sales directly attributed to ads.
TACoS (Total Advertising Cost of Sales) measures ad spend as a percentage of total sales (ad-attributed + organic).
Ad spend: $200
Ad-attributed sales: $800 (ACoS = 25%)
Organic sales: $1,200
Total sales: $2,000
TACoS = ($200 ÷ $2,000) × 100 = 10%
TACoS gives you a more complete picture of advertising's role in your total revenue mix. A high ACoS can still make sense if it's driving rank improvements that generate organic sales. TACoS captures that relationship. ACoS does not.
Most operators track both. ACoS tells you if your ads are efficient. TACoS tells you if your ads are helping the business.
ACoS is visible in multiple places:
As of 2026, the Amazon Ads console also surfaces ACoS within the Full-Funnel Campaign view, where you can see how ACoS varies across awareness, consideration, and conversion stages. This is useful for evaluating whether upper-funnel spend (which typically has higher ACoS) is contributing to lower-funnel conversions.
We help brands set margin-based targets, build bid rules, and allocate budgets across product lines.
Talk to Our TeamLikely causes:
Fixes:
Likely causes:
Fixes:
Likely causes:
Fixes:
Amazon now uses machine learning to adjust bids in real time based on likelihood of conversion. Early adopters saw ACoS compress toward break-even (less variance between campaigns) but also found it harder to drive ACoS below 20% without sacrificing volume. If you're seeing stable ACoS but can't push efficiency gains, this is likely why.
Amazon's generative AI shopping assistant can surface sponsored products in conversational answers. Early data suggests Rufus-attributed sales have slightly higher ACoS (5 to 10 percentage points) compared to traditional search placements, likely due to lower purchase intent in research-phase queries.
The new campaign type bundles awareness, consideration, and conversion tactics into a single campaign. Awareness placements (e.g., homepage, category pages) typically have higher ACoS because they target top-of-funnel shoppers. If you're running Full-Funnel Campaigns, expect blended ACoS to be 5 to 15 points higher than conversion-focused Sponsored Products campaigns. This is normal and often worth the trade-off if it's building brand recognition that converts later.
Sponsored Display now reaches off-Amazon placements (publisher sites, apps). Off-Amazon ACoS tends to run 10 to 20 points higher than on-Amazon due to lower intent and longer attribution windows. Don't compare Sponsored Display ACoS directly to Sponsored Products. Evaluate it based on incremental reach and new-to-brand customer acquisition.
ACoS is not the right metric for every campaign goal.
Ignore ACoS when:
ACoS measures efficiency. But efficiency is not always the goal. Sometimes the goal is visibility, market share, or customer acquisition. Use the metric that aligns with your objective.
If you're managing ACoS across dozens of SKUs or multiple brands, manual campaign management becomes unsustainable. At SupplyKick, we help brands set margin-based ACoS targets, build automated bid rules, and allocate budgets across product portfolios to balance profitability and growth.
Our Amazon Advertising services include ACoS analysis, campaign structure audits, and ongoing improvements tied to your specific margin and growth targets. If you're spending $10K+/month on Amazon ads and want a second set of eyes on your ACoS strategy, talk to our team.
ACoS stands for Advertising Cost of Sales. It measures how much you spend on Amazon ads for every dollar of ad-attributed revenue, expressed as a percentage.
Not always. A very low ACoS might mean you're bidding too conservatively and missing sales volume. The best ACoS depends on your margins and your campaign goals (profitability vs. growth vs. market share).
There is no universal "good" ACoS. Your target should be based on your product's profit margin. Calculate your break-even ACoS (which equals your profit margin percentage), then set targets based on whether you're prioritizing profit, growth, or market share.
Break-even ACoS equals your profit margin percentage. For example, if your product has a 35% margin after all costs, your break-even ACoS is 35%. Spend more than this and you lose money per sale. Spend less and you're profitable.
ACoS measures ad spend as a percentage of ad-attributed sales only. TACoS (Total Advertising Cost of Sales) measures ad spend as a percentage of total sales (ad-attributed + organic). TACoS gives you a fuller picture of how advertising impacts your entire revenue mix.
ACoS is visible in the Campaign Manager table view, campaign-level reports, ad group and keyword reports, and downloadable Sponsored Products, Sponsored Brands, and Sponsored Display reports.
High ACoS is usually caused by bids that are too high relative to conversion rates, poor product detail page performance (low CVR), or targeting low-intent keywords without negative keyword filters. Start by auditing your product page, then review keyword performance and bid levels.
A very low ACoS often means bids are too conservative, budgets are capped, or you're only running exact match campaigns. To scale, you may need to increase bids, raise budgets, or add broad match and category targeting campaigns with higher ACoS targets.
Amazon's AI bidding adjusts bids in real time based on conversion likelihood. This tends to compress ACoS toward break-even and reduce day-to-day variance, but it can also make it harder to push ACoS significantly below break-even without losing volume.
Both measure the same relationship from opposite perspectives. ACoS is more common in Amazon because the Ads console defaults to it. ROAS is more common in other ad platforms (Google, Meta). Use whichever your team is most comfortable with, but be consistent across reporting.