Key Takeaways
- ACoS (Advertising Cost of Sales) = Ad Spend ÷ Ad Revenue × 100. It measures what percentage of your ad-attributed revenue was spent on ads.
- A “good” ACoS is not an industry average, it is a personal number calculated from your own margin. Your break-even ACoS = (Profit Per Unit ÷ Sale Price) × 100
- Average ACoS across Amazon categories in 2026 runs 25–35%, but competitive categories like Supplements and Electronics regularly exceed 40–50%
- ACoS measures paid ad efficiency. TACoS (Total ACoS) measures total ad dependency, the metric that tells you whether your business is healthy, not just your campaigns.
- The four most common causes of high ACoS are: irrelevant keyword traffic, poor listing conversion rate, bids misaligned with margin, and a campaign structure that hides the real problem.
- Fixing ACoS in the right order matters: cut keyword waste first, fix listing conversion second, rebuild bids third, not the other way around.
ACoS is the metric Amazon sellers check most and understand least. Most sellers know it stands for Advertising Cost of Sales. They know a high number is bad and a low number is good. But ask them what their ACoS should actually be calculated from their specific margin, and most will give an industry average they read somewhere, not a number derived from their own business.
That gap between knowing the metric and understanding it is expensive. Sellers chase lower ACoS by cutting spend and losing organic rank in the process. Others accept high ACoS because “it is normal in my category” without checking whether their margin can actually support it. In many cases, sellers only realize their Amazon ACoS is too high after profitability has already started slipping. Both mistakes cost more than the ad spend they were trying to protect.
This guide covers ACoS completely, what it is, how to calculate it, what a good number looks like for your specific margin and business stage, and how to systematically reduce it when it is genuinely too high.
What Is ACoS on Amazon? (Definition, Formula, and Calculation)
ACoS (Advertising Cost of Sales) is Amazon’s primary metric for measuring the efficiency of sponsored advertising. It expresses what percentage of your ad-attributed revenue was spent on the ads that generated it.
In plain terms, ACoS tells you how much you spent on advertising for every dollar of sales those ads produced.
ACoS Formula and How to Calculate It
ACoS = (Ad Spend ÷ Ad Revenue) × 100
Worked example:
- You spent $200 on Amazon ads in a week
- Those ads generated $1,000 in attributed sales
- ACoS = ($200 ÷ $1,000) × 100 = 20%
A 20% ACoS means you spent 20 cents in advertising for every dollar of ad-driven revenue. For every $5 in sales your ads generated, $1 went to ad spend.
Where to find your ACoS:
In Seller Central, go to Campaign Manager → select a campaign → the ACoS column appears in the performance summary. At the account level, go to Reports → Advertising Reports → Summary to see ACoS across all campaigns.
What ACoS is measuring and what it is not:
ACoS only measures efficiency against ad-attributed sales purchases that Amazon directly credits to a sponsored ad click. It does not measure:
- Organic sales happen because your ads improved your ranking
- Sales from shoppers who clicked your ad but converted later without clicking again
- The full business impact of increased visibility during the launch phase
This is why ACoS alone is an incomplete profitability signal, a limitation covered in full in Section 2.
ACoS vs RoAS: The Same Number, Two Ways of Reading It
RoAS (Return on Ad Spend) measures the same relationship as ACoS but expresses it as a multiplier rather than a percentage.
RoAS = Ad Revenue ÷ Ad Spend
Using the same example: $1,000 revenue ÷ $200 spend = 5x RoAS
The relationship between ACoS and RoAS is inverse:
- 20% ACoS = 5x RoAS
- 25% ACoS = 4x RoAS
- 50% ACoS = 2x RoAS
- 100% ACoS = 1x RoAS (break-even on revenue, not profit)
Which to use: ACoS is more intuitive for day-to-day campaign management because it directly mirrors your margin. If your margin is 30%, you want your ACoS below 30%. RoAS is more commonly used in reporting and agency conversations because it expresses efficiency as a multiplier rather than a cost percentage.
Both measure the same thing. Choose whichever is more natural to your decision-making. The important thing is using one consistently rather than switching between them and losing comparability across time periods.
What Is a Good ACoS on Amazon?
This is the most searched ACoS question on Amazon and the most commonly answered incorrectly. The most common wrong answer: A good ACoS is 15–30%. The correct answer: a good ACoS is below your profit margin. What that number is depends entirely on your specific product.
Break-Even ACoS: Calculate Yours Before Comparing to Any Benchmark
Your break-even ACoS is the point at which every ad-driven sale covers its own advertising cost but leaves no profit. Any ACoS above this number means every ad-attributed sale is losing money.
Break-Even ACoS = (Profit Per Unit ÷ Sale Price) × 100
How to calculate profit per unit: Profit per unit = Sale price minus cost of goods (COGS) minus Amazon fees (referral fee + FBA fee if applicable) minus any other variable costs
| Item | Amount |
| Sale price | $40.00 |
| Cost of goods | – $12.00 |
| Amazon referral fee (15%) | – $6.00 |
| FBA fulfilment fee | – $4.50 |
| Profit per unit | $17.50 |
Break-Even ACoS = ($17.50 ÷ $40.00) × 100 = 43.75%
This means: on this specific product, any ACoS below 43.75% is profitable. An ACoS of 43.75% breaks even. An ACoS above 43.75% loses money on every ad-attributed sale.
Target ACoS vs break-even ACoS: Your target ACoS should sit below your break-even to generate actual profit, not just cover costs. A common approach: set target ACoS at 60–75% of your break-even.
At 43.75% break-even: target ACoS = 43.75% × 0.70 = ~30%
This gives you a 13.75% buffer, the portion of each sale that returns as profit after ad spend.
Why industry benchmarks are dangerous without this calculation:
An industry benchmark of “aim for 20% ACoS” is loss-making for a seller with a 15% margin and profitable for a seller with a 40% margin. Always calculate your own break-even point before evaluating any benchmark.
| Category | Average ACoS | Notes |
| Consumer Electronics | 30–45% | High competition, lower margins |
| Health & Personal Care | 25–40% | Supplement sub-niche often 40–60% |
| Beauty & Personal Care | 20–35% | Brand competition drives CPC up |
| Home & Kitchen | 20–35% | High volume, moderate competition |
| Clothing & Accessories | 25–40% | Seasonal variation significant |
| Toys & Games | 20–30% | Q4 spikes to 35–45% |
| Sports & Outdoors | 20–35% | Long-tail keywords help lower ACoS |
| Books | 15–25% | Lower CPCs, higher CVR |
| Crafts & Hobbies | 15–25% | Lower competition categories |
Average ACoS Benchmarks by Category
These are category averages useful for calibration, not as personal targets. Your break-even ACoS from the calculation above overrides all of these.
Target ACoS by Business Stage
The right ACoS target changes as your product matures. Using the same target across all stages leads to either overspending during launch or under-investing during growth.
| Business Stage | Recommended Target ACoS | Rationale |
| Product launch (0–60 days) | Break-even or slightly above | Buying ranking velocity, review accumulation, and data. Profitability is secondary. |
| Early growth (60–180 days) | Break-even to 80% of break-even | Shifting toward profitability while maintaining ranking momentum. |
| Established product (180+ days) | 60–75% of break-even | Generating a consistent margin while maintaining visibility. |
| Market leader / mature brand | 50–65% of break-even | Maximizing margin on proven converting traffic. |
The launch exception: Accepting ACoS above break-even during launch is a deliberate investment in ranking signals, not a mistake to fix. The condition is time-bounded if ACoS remains above break-even past 60–90 days without TACoS improvement, it is no longer a launch investment, and it is a structural problem requiring diagnosis.
ACoS vs TACoS: Why the Bigger Picture Matters
ACoS measures how efficiently your ads convert. It does not tell you whether your overall business is healthy. That is what TACoS is for.
TACoS (Total ACoS) = Total Ad Spend ÷ Total Revenue (organic + paid) × 100
The critical difference: ACoS uses only ad-attributed revenue as the denominator. TACoS uses total revenue, including organic sales. This distinction matters more than most sellers realise.
The trap ACoS-only management creates:
Imagine a seller who decides to cut ad spend aggressively to lower ACoS. It works. ACoS drops from 35% to 18%. Looks like a success. But organic sales fall simultaneously because ranking signals weakened when ad-driven sales velocity dropped. TACoS rises from 12% to 22%. Total revenue is lower. The business is weaker.
The ACoS number improved. The business got worse.
TACoS catches this. If ACoS falls while TACoS also falls or holds steady, the improvement is real. If ACoS falls while TACoS rises, you have traded organic performance for a better-looking ad metric.
| Stage | Target TACoS |
| Product launch | 15–25% |
| Growth phase | 8–15% |
| Mature brand | Under 8% |
| Market leader | Under 5% |
Track both metrics weekly. ACoS tells you what to optimise in Campaign Manager. TACoS tells you whether those optimisations are building a healthier business or just moving a number.
Most sellers can run the break-even calculation in under five minutes. The harder question, why their ACoS sits above it, and which lever to pull first, takes a different kind of analysis. That is what AMZDUDES, a Full Service Amazon agency, does. We diagnose exactly why ACoS is where it is and fix it in the right order based on your actual data, not assumptions.
3. Why Is Your ACoS Too High? (Diagnose Before You Fix)
High ACoS has specific causes. Applying a fix before identifying the cause is the most common reason ACoS improvements do not last. You optimise the symptom, not the source.
Before reading the five causes below, compare your current ACoS against your break-even from Section 2. If your ACoS is above break-even, you have a confirmed problem. If it is below break-even but above your target, you have an efficiency problem. The diagnosis and fix differ between these two situations.
| Flow | Question / Check | Indication | Likely Issue |
| High ACoS | 1. Low CVR?Is the Click-Through Rate to Purchase (Conversion Rate) low? | Lots of clicks but very few purchases. CVR is below benchmark. | Listing Problem Listing may not be compelling, relevant, or trustworthy enough to convert clicks into sales. |
| High ACoS | 2. Irrelevant Clicks?Are clicks coming from irrelevant or low-intent searches? | High clicks but low relevance. Traffic is not aligned with buying intent. | Keyword Waste Keywords or targeting are attracting irrelevant traffic that doesn’t convert. |
| High ACoS | 3. CPC Too High?Is the Average Cost Per Click (CPC) higher than it should be? | CPC is high compared to industry benchmarks or performance history. | Bid Problem Bids may be too high or unoptimized, increasing costs without improving conversions. |
| High ACoS | 4. Mixed Performance Data?Are some keywords/ASINs performing well while others perform poorly? | Some high performers and some poor performers in the same campaign. | Campaign Structure Problem: The campaign is not well-structured. Needs better segmentation and organization. |
Your Keywords Are Attracting the Wrong Clicks
This is the most common cause of high ACoS and the fastest to diagnose.
Broad and phrase match keywords trigger your ads for search queries that may share words with your product but have nothing to do with purchase intent for it. You pay for every click those irrelevant queries generate. The spending happens before you can see it in your data, and by the time the Search Term Report shows you the problem, the money is already gone.
How to confirm this is your cause: Pull your Search Term Report from Campaign Manager (Reports → Search Term Report). Filter to the last 30 days. Sort by spend descending. Look at the top 10–15 search terms consuming budget. Ask: Would a shopper searching this term be likely to buy my specific product?
If two or more of the top terms are not genuinely relevant to your product, keyword waste is your primary cause.
What it looks like: A seller listing a premium stainless steel water bottle finds their top spend terms include “plastic water bottle,” “cheap water bottle,” and “water bottle for kids.” These terms generate clicks from shoppers who would never pay a premium price for a stainless steel bottle. Every click is wasted spend.
Your Listing Is Not Converting the Traffic You Are Paying For
ACoS = Ad Spend ÷ Ad Revenue. If the conversion rate is low, the denominator stays small regardless of how relevant your keywords are. You pay full price for clicks that do not become sales.
This is the cause most sellers overlook because it feels like a listing problem, not a PPC problem. It is both. Your listing is the landing page your ads point to. A poor landing page makes good targeting expensive.
How to confirm this is your cause: In Campaign Manager, check your click-through rate (CTR) and conversion rate (CVR) for your top keywords. If CTR is above 0.3%, meaning shoppers are clicking your ad, but CVR is below 8%, the listing is absorbing traffic without converting it.
The listing variables are most commonly responsible:
- Main image that does not stand out at thumbnail size in search results
- Price above category average without visible differentiation, justifying the premium
- Fewer than 15 reviews or a rating below 4.0 stars
- Title missing primary purchase intent keywords in the first 60 characters
- First bullet point listing features rather than addressing the buyer’s primary concern
What it looks like: A seller bidding $1.50 per click with a 4% CVR needs 25 clicks to generate one sale, $37.50 in ad spend per sale. The same bid with a 12% CVR needs 8.3 clicks per sale, $12.38 in ad spend. Same keyword, same bid, same CPC, but ACoS is 3× higher on the poorly converting listing.
Your Bids Are Not Aligned With Your Actual Margin
Most sellers set bids based on Amazon’s suggested range, category averages, or what competitors appear to be bidding, but a complete Amazon bid management framework starts with your own margin, not external benchmarks. A bid that is profitable for a competitor with 40% margin is loss-making for a seller with 20% margin competing on the same keyword.
How to confirm this is your cause: Calculate your maximum profitable CPC using this formula:
Max Profitable CPC = Profit Per Unit × Conversion Rate
Using the worked example from Section 2: $17.50 profit × 0.10 CVR = $1.75 max CPC
Now open Campaign Manager and check your average CPC for your highest-spend keywords. If average CPC regularly exceeds your max profitable CPC, your bids are structurally too high. ACoS above break-even is mathematically guaranteed regardless of keyword quality.
The dynamic bidding amplifier: If you are using Dynamic Bidding (Up and Down), Amazon can raise your bid by up to 100% in high-conversion scenarios. A $1.00 bid becomes $2.00. If your max profitable CPC is $1.40, this means Amazon is regularly charging you above your break-even point without your knowledge. Check your average CPC against your set bid. If average CPC consistently exceeds your set bid, dynamic adjustment is the mechanism.
Your Campaign Structure Is Hiding the Real Problem
When broad match, phrase match, and exact match keywords, along with high-performing and low-performing products, all sit in the same campaign or ad group, their performance data blends. A few high-converting exact match keywords can mask large numbers of wasted broad match clicks in the same campaign.
How to confirm this is your cause: Pull a keyword-level ACoS report from Campaign Manager. Sort by spend. If you find keywords where ACoS exceeds 2× your break-even, consuming more than 20% of your total campaign spend, while other keywords in the same campaign are performing below target, ACoS structural blending is your problem.
What it looks like at the account level: Campaign ACoS shows 32%. Looks acceptable against a 38% break-even. But inside the campaign, three exact match keywords have ACoS of 12%, 18%, and 22%, while six broad match keywords have ACoS of 65%, 89%, 102%, 78%, 55%, and 43%. The profitable keywords are subsidising the wasteful ones. Campaign-level reporting makes the account look healthier than it is.
How to Find High-ACoS ASINs Using the Advertised Product Report
When you have multiple products in your catalog, the overall account ACoS hides ASIN-level problems. One or two poorly performing ASINs can drag the whole account’s ACoS above target while others perform well. Campaign-level and keyword-level reports do not isolate this, the Advertised Product Report does.
How to access it: Campaign Manager → Reports → Advertised Product Report. Set the date range to the last 60 days and download.
What to look for: Sort by spend descending. For each ASIN, check: what is the ACoS, and how does it compare to the break-even ACoS for that specific product? ASINs that spend above $50 in the period and ACoS more than 1.5× their break-even are dragging your account numbers up.
What to do with the finding:
If the ASIN has a weak listing, fix the listing before adjusting bids. A high-ACoS ASIN with a poor main image, low review count, or weak title will not improve through bid changes alone, the listing is the bottleneck.
If the ASIN has a strong listing but persistently high ACoS: Move it into an isolated campaign with a conservative budget and exact match keywords only. This separates its performance from better-performing ASINs and gives you clean data to work with.
If the ASIN has high ACoS across multiple campaigns and listings are strong, evaluate whether the product’s margin supports advertising at the current market CPCs. Some products cannot be advertised profitably at their price point in their category, no amount of optimisation changes are made.
How to Reduce ACoS on Amazon: Fix These in Order
The order of these steps is not arbitrary. Each step addresses a different layer of the ACoS problem, and addressing them out of sequence produces temporary improvements that do not hold.
Step 1: Cut Keyword Waste Before Touching Your Bids
Removing wasteful keywords reduces spend immediately without touching any bids, meaning sales from converting keywords are entirely unaffected. This is the fastest change with the most direct ACoS impact in most accounts.
The process:
Pull your Search Term Report (Campaign Manager → Reports → Search Term Report). Set the date range to last 30 days. Download and open in a spreadsheet.
Sort by spend descending. Work through the top terms:
Immediate negatives, add these now:
- Any search term with $20 or more in spend and zero conversions
- Any search term with 15 or more clicks and zero conversions (unless it is a core brand or category term where visibility has strategic value)
Winners to isolate:
- Any search term with 3 or more conversions and ACoS below your break-even: create a dedicated exact match keyword for this term in a manual campaign. This protects your best performers from being affected by broad match waste in the same campaign.
The critical rule: Do not lower the bid on a wasteful keyword negative it. A lower bid on an irrelevant keyword still costs money. A negative keyword costs nothing.
What to expect: Most accounts see a 10–20% reduction in wasted spend within 7 days of systematic negative keyword implementation. ACoS improvement follows within 2 weeks as the remaining spend concentrates on converting terms.
Ongoing cadence: Review the Search Term Report weekly for the first 60 days of any campaign. After 60 days, shift to bi-weekly as the negative keyword list matures. The rule: never let any search term accumulate more than $15 in spend before evaluating it.
Step 2: Fix Listing Conversion Before Increasing Spend
This step is second, after waste is removed, and your remaining traffic is genuinely relevant. Now the question is: does your listing convert that relevant traffic? If not, every step that follows operates on a broken foundation.
How to confirm you need this step: After implementing Step 1 negatives, check your CTR and CVR in Campaign Manager after 7 days. If CTR is above 0.4% but CVR is still under 8%, your listing is the bottleneck. The traffic is qualified. The listing is not closing.
What to fix, in priority order:
1. Main image: The main image determines CTR before the shopper even reaches your listing. It is what they see in search results at thumbnail size. A main image that does not stand out at 80×80 pixels loses clicks before the listing has any chance to convert them. Test your main image by reducing it to thumbnail size and comparing it visually against your top competitors in search results.
2. Price: Check whether your price is within 15% of the top three competitors for your primary keyword. Price outliers suppress CVR even when all other listing elements are strong. If you are priced higher, ensure your listing clearly communicates the differentiation, or test a price reduction and measure the CVR impact.
3. Reviews: Fewer than 15 reviews or a rating below 4.0 stars suppresses CVR regardless of listing quality. If this is your constraint, ACoS will not sustainably improve until social proof builds, and understanding how Amazon product reviews drive conversion is essential before spending more on ads. Focus on review generation through follow-up sequences and Vine program enrollment rather than bid changes.
4. Title: Primary purchase intent keyword in the first 60 characters of the title. Shoppers scan titles in search results, the first 60 characters are often all they read before deciding to click or scroll.
5. First bullet point: should address the buyer’s primary concern or the strongest differentiation, not lead with a feature list. “Keeps drinks cold for 24 hours” converts better than “Double-wall vacuum insulation,” even though they describe the same thing.
The CVR impact on ACoS: A listing that improves CVR from 8% to 14% reduces ACoS by approximately 43% at the same CPC and keyword quality. No bid change required. This is why listing optimisation is almost always a faster ACoS fix than bid management when listing quality is the root cause.
Step 3: Rebuild Bids Around Performance Data
After Step 1 removes waste, Step 2 confirms the listing converts, and Step 3 aligns your bids with what the data now shows. This is when bid adjustments become meaningful rather than arbitrary.
Set your maximum profitable CPC before touching any bids:
Max Profitable CPC = Profit Per Unit × Conversion Rate
Use your actual post-Step 2 CVR from Campaign Manager, not an assumed 10%. If your CVR improved to 12% after listing fixes and your profit per unit is $17.50:
Max Profitable CPC = $17.50 × 0.12 = $2.10
Every keyword bid above $2.10 loses money on every conversion, regardless of relevance.
The bid adjustment framework:
| Item | Amount |
| Sale price | $40.00 |
| Cost of goods | – $12.00 |
| Amazon referral fee (15%) | – $6.00 |
| FBA fulfilment fee | – $4.50 |
| Profit per unit | $17.50 |
Bidding strategy note: If you are currently using Dynamic Bidding (Up and Down), switch to Dynamic (Down Only) while optimising. Up and down bidding raises your effective CPC by up to 100% above your set bid in high-traffic windows, making profitability targets unreachable while you are still cleaning up the account. Switch back to Up and Down selectively once your campaign structure is clean and CVR data is reliable.
The pace of bid changes: Change no more than 20% of your keyword bids in a single week. Amazon’s algorithm needs time to register changes and adjust delivery accordingly. Mass bid changes produce noisy data that is harder to interpret and can trigger delivery instability.
Step 4: Restructure Campaigns for Cleaner Optimisation Control
This step produces the data quality needed to sustain the improvements from Steps 1–3. Without a clean structure, the same ACoS problems recur within 60–90 days because blended performance data makes it impossible to diagnose precisely where problems are developing.
One product type per campaign: Mixing multiple product types in one campaign blends their performance data. An ASIN with strong CVR in a campaign with a weak ASIN will have its budget diluted and its performance obscured.
Separate match types into separate campaigns or ad groups: Broad match discovers new converting search terms. Exact match converts proven ones. Mixed in the same campaign, they compete for the same budget and contaminate each other’s ACoS data.
Practical structure:
- Campaign A: Broad match (discovery), limited daily budget
- Campaign B: Phrase match (refinement), moderate daily budget
- Campaign C: Exact match (conversion), largest daily budget allocation
As winning terms emerge from Campaign A, add them to Campaign C as an exact match. Add them as negative exact in Campaign A to prevent overlap bidding.
Isolate your top performers: Any keyword with consistent ACoS below 50% of your break-even for 60+ days belongs in its own exact match campaign with a protected budget. This ensures your best converting keywords cannot be starved of budget by poor performers in a shared campaign.
Naming convention: Name campaigns: Product Match Type Intent (e.g., “SteelBottle Exact Core Keywords”). Vague campaign names make diagnosis slow and optimisation guesswork.
What clean structure does not do immediately: Restructuring does not lower ACoS the week you do it. It makes the data trustworthy enough that Steps 1–3 can be applied more precisely in the next optimisation cycle. Think of it as building the instrument panel that lets you fly the plane accurately, not as a change that makes the plane faster immediately.
Step 5: Build a Weekly Optimisation Cadence
ACoS reduction is not a project with an end date. It is an ongoing discipline. The sellers who maintain low ACoS over time are not those who optimised once they are those who review consistently enough to catch problems before they compound.
Week 1–4 after implementing Steps 1–4:
- Pull the Search Term Report every Monday. Add negatives for any term with $15+ spend and no conversions in the prior week.
- Check CTR and CVR weekly. If CVR drops more than 2 points from the prior week, investigate listing changes or price changes before touching bids.
- Review placement performance in the Placement Report. If Top of Search is consuming above 60% of the budget with ACoS above break-even, reduce the placement multiplier by 20%.
Week 5–8:
- Shift to weekly ACoS and TACoS comparison. If both are declining, hold course. If ACoS is declining but TACoS is rising, check the organic ranking for primary keywords, you may be cutting ranking signals alongside wasted spend.
- Begin applying the bid framework from Step 3 to keywords that now have 30+ days of clean post-restructure data.
Monthly:
- Full campaign audit: check for keyword cannibalization (same keyword active in multiple campaigns), budget allocation balance across match type campaigns, and ASIN-level performance using the Advertised Product Report.
- Recalculate break-even ACoS if COGS or Amazon fees have changed.
The one-change-at-a-time rule: Make one significant change per week, one bid adjustment batch, one structural change, or one listing test. Multiple simultaneous changes produce unreadable data. You will not know which change caused which outcome.
Tools that support the cadence:
- Helium 10 Adtomic: automated search term analysis and bid suggestions based on ACoS targets
- Scale Insights: rule-based bid management with ACoS target setting and dayparting
- Amazon Bulk Operations spreadsheet (free): download all keywords, edit bids in bulk, re-upload without clicking through individual campaigns
Tools automate the execution of a strategy you have already built. They do not replace the diagnostic judgment from Section 3 and the step sequence above.
Your ACoS Has a Cause. We Find It.
The framework in this guide works. But applying it correctly takes clean data and the judgment to know which diagnosis fits your specific account.
If your ACoS has been above break-even for more than 30 days or you are not sure your campaigns are built to sustain profitability as you scale, that is exactly what an ACoS audit is for.
The AMZDUDES team manages Amazon PPC services for sellers who want clear reasoning behind every decision, not just monthly reports. We unify your Amazon ads, listing creative, and customer insights to uncover what is actually driving performance.
Our audit analyzes your break-even inputs, Search Term Report waste, listing conversion rate, bid alignment, and TACoS health, giving you one clear view of what is increasing your ACoS, where profit is leaking, and what to fix first for measurable growth.
Contact AMZDUDES for a Custom PPC Strategy
Frequently Asked Questions
1: What is ACoS on Amazon?
ACoS (Advertising Cost of Sales) is the percentage of ad-attributed revenue that was spent on ads. Formula: (Ad Spend ÷ Ad Revenue) × 100. A 25% ACoS means 25 cents of every ad-attributed dollar went to advertising. It measures how efficiently your Amazon PPC campaigns convert spend into revenue.
2: What does ACoS stand for in Amazon?
ACoS stands for Advertising Cost of Sales. It is Amazon’s primary metric for measuring sponsored advertising efficiency. It is expressed as a percentage: ad spend divided by ad-attributed revenue, multiplied by 100.
3: How do I calculate ACoS on Amazon?
ACoS = (Ad Spend ÷ Ad Revenue) × 100. Example: if you spent $150 on ads and those ads generated $600 in sales, your ACoS is 25%. Find this data in Campaign Manager under the performance summary for any campaign, or in Advertising Reports for account-level ACoS.
4: What is a good ACoS for Amazon PPC?
There is no single good ACoS for Amazon PPC. It depends on your product margin. Calculate your break-even ACoS first, then set your target 5–10 points below that. A seller with 40% margin targeting 28% ACoS and a seller with 20% margin targeting 14% ACoS are both operating correctly their numbers just differ.
5: What is the average ACoS on Amazon?
The average ACoS across Amazon categories in 2026 runs approximately 25–35%. Competitive categories like Supplements and Consumer Electronics regularly average 35–50%. Lower-competition categories like Books and Crafts average 15–25%. These are category averages, your target should be based on your margin calculation, not these figures.
6: What is break-even ACoS on Amazon?
Break-even ACoS is the point at which your ad spend exactly consumes your profit margin; every ad-attributed sale covers its own ad cost but generates no profit. Formula: (Profit Per Unit ÷ Sale Price) × 100. Any ACoS above this number means every ad sale is losing money.
7: What is the difference between ACoS and TACoS on Amazon?
ACoS measures ad spend against ad-attributed revenue only. TACoS (Total ACoS) measures ad spend against total revenue,e including organic sales: (Total Ad Spend ÷ Total Revenue) × 100. ACoS tells you if your ads are efficient. TACoS tells you if your overall business is healthy. A falling ACoS paired with a rising TACoS means you are cutting organic rank signals alongside ad waste, the reduction is cosmetic, not real.
8: Why is my Amazon ACoS so high?
The four most common causes: irrelevant keywords generating clicks from shoppers who would not buy your product; listing not converting the relevant traffic you are paying for; bids set above what your margin can support; campaign structure blending good and poor performers,s so problems are invisible. Pull your Search Term Report and check for irrelevant search terms consuming budget. This is the fastest diagnosis to make.
9: How do I reduce ACoS on Amazon without losing sales?
Work through the steps in order. Step 1: Negative irrelevant keywords from your Search Term Report. This reduces waste without touching converting traffic. Step 2: Improve listing CVR before adjusting bids. Step 3: rebuild bids from your margin calculation. Step 4: restructure campaigns by match type. Done in this order, you reduce ACoS by eliminating waste, not by cutting spend.
10: Should I pause campaigns with high ACoS?
Not immediately. Pause individual keywords with 20–30 clicks and zero conversions. Pausing entire campaigns resets delivery history, disrupts Amazon’s algorithm, and typically raises costs when campaigns restart. Surgical keyword-level action negatives and bid reductions beat campaign-level pausing in almost every situation.
