- Is it really worth using TACoS, or is the ACoS I already have enough?
- How does TACoS work in practice? What is the formula?
- Where do I find the data to calculate TACoS? Does Amazon provide it?
- Three Italian scenarios: what changes in practice for my business?
- What is a 'good' TACoS? Are there reference benchmarks?
- Why are people talking about this now: is the ADV market really changing?
- Does TACoS always tell the truth? What are its limits?
- How to get started: concrete steps to begin using TACoS?
- What are the most common mistakes with TACoS?
- How do you know if TACoS is really improving?
- So, is TACoS worth it for my company?
- How we see it at SHM
- Frequently Asked Questions
- TACoS (Total Advertising Cost of Sales) divides advertising spend by total sales, including organic ones: it's harder to make look better than ACoS.
- A dropping TACoS while ACoS rises is a good sign: advertising is fueling organic demand. The opposite is a red flag.
- Amazon does not calculate TACoS in its reports: you have to build it by combining data from the advertising console with those from Seller Central or via third-party tools.
- For those selling on Italian or international marketplaces, TACoS is the metric that turns advertising from a 'campaign cost' into a 'cost of doing business'.
You're looking at a 25% ACoS and thinking your campaigns are crushing it. But if your organic sales are tanking, you're tracking the wrong metric—TACoS would flag that instantly.
Is it really worth using TACoS, or is the ACoS I already have enough?
If you sell on a marketplace and want to figure out how much advertising weighs on your total revenue — not just sales tied to ads — TACoS is the right tool. ACoS by itself can be misleading: a low number might hide a drop in organic sales.
The ACoS (Advertising Cost of Sales) is the metric Amazon shows by default. It divides advertising spend only by the sales the system attributes to an ad. The problem is that it only measures part of the picture.
The TACoS (Total Advertising Cost of Sales) uses the same numerator — your ad spend — but divides it by all sales for the period, including organic ones. This makes it much harder to inflate with superficial optimizations.
| Your situation | Recommended metric | why |
|---|---|---|
| You want to optimize a single campaign | ACoS | Measures ad efficiency directly |
| You want to figure out how much ADV weighs on total business | TACoS | Includes organic sales in the calculation |
| You are evaluating the ADV budget as a % of revenue | TACoS | Comparable to the marketplace commission |
| You are cutting keywords to make reports look better | TACoS | Reveal if you are sacrificing real sales |
| Manage multiple marketplaces or channels | Blended TACoS | Unify the view across all channels |
How does TACoS work in practice? What is the formula?
The formula is super simple: TACoS = ad spend ÷ total sales × 100. The result is a percentage showing how much advertising cost went into every dollar of total sales.
Let's take an example from the original source of PPC Land . A seller spends $3,000 on sponsored ads in a month. Amazon attributes $12,000 in sales to those ads: the ACoS is 25%. But total sales for the month are $40,000. The TACoS is $3,000 ÷ $40,000 = 7,5%.
The two numbers are linked by a precise relationship: TACoS = ACoS × (share of ad-attributed sales out of total sales). In this case, ads cover 30% of total sales, and 25% × 0.30 = 7.5%. Knowing this relationship helps you understand why the two numbers can move in opposite directions.
| Scenario | Ad spend | ADV-attributed sales | ACoS | Total sales | TACoS |
|---|---|---|---|---|---|
| Month 1 (baseline) | 3.000 € | 12.000 € | 25% | 40.000 € | 7,5% |
| Month 2 (more spend) | 5.000 € | 16.000 € | 31,3% | 75.000 € | 6,7% |
| Month 3 (keyword cut) | 2.000 € | 9.000 € | 22,2% | 22.000 € | 9,1% |
In month 2, ACoS gets worse (it climbs to 31.3%) but TACoS improves (it drops to 6.7%): ads are boosting organic demand. In month 3, ACoS improves (it drops to 22.2%) but TACoS gets worse (it climbs to 9.1%): keywords are being cut to make campaigns look more efficient, but total sales are dropping. Without TACoS, month 3 would look like a success.
Where do I find the data to calculate TACoS? Does Amazon provide it?
No: Amazon does not calculate TACoS in its standard reports. You have to build it by combining two different data sources, or by using third-party tools that do it automatically.
Amazon shows ACoS, ROAS (return on ad spend), new-to-brand metrics, and long-term sales data. TACoS doesn't show up in any native reports, as confirmed by the source PPC Land checking the October 2026 console. Also in the Seller Central forum, an Amazon representative referred to ACoS when a seller asked where to find TACoS.
To calculate it, you need two sources: the advertising spend from the Amazon Ads console or the advertising API, and the total sales from Seller Central Business Reports (field "ordered product sales") or from the Selling Partner API. Tools like Helium 10, Perpetua, and SellerApp automatically combine these sources and display TACoS on dashboards.
- 1 p Seller / ads manager Export ADV spend Download the report from the Amazon Ads console or connect the advertising API. Keep Sponsored Products, Sponsored Brands, and Sponsored Display separate.
- 2 p Seller / ads manager Export total sales Go to Seller Central > Business Reports > Sales and Traffic. Grab the 'Ordered Product Sales' field for the same period.
- 3 p Seller / ads manager Calculate TACoS Divide your ADV spend by total sales and multiply by 100. Make sure the period is identical for both sources.
- 4 · Third-party tool (optional) Automate with a tool Helium 10, Perpetua, or SellerApp join them automatically. Always check whether the calculation uses gross or return-netted sales, and whether it includes only Sponsored Ads or also Amazon's DSP (display platform).

Three Italian scenarios: what changes in practice for my business?
TACoS is interpreted differently depending on product type and channel maturity. Here are three typical scenarios for online sellers in Italy.
According to data Netcomm , 76.5% of online product purchases in Italy will happen through eRetailers or marketplaces in 2025. Anyone selling on these channels has every reason to understand how much advertising really impacts total revenue, not just ad-attributed sales.
The three scenarios below are illustrative: the numbers are meant to show the reasoning, they are not real client data.
| Company type | Situation | ACoS | TACoS | Reading |
|---|---|---|---|---|
| Home products e-commerce (new on Amazon) | Product launch, little organic history | 28% | 22% | Normal: almost all revenue comes through ads. Goal: bring TACoS down over time. |
| Manufacturing company (established product) | Well-known brand, good organic ranking | 31% | 8% | Great: advertising supports a broad organic base. The flywheel is working. |
| Retail chain with a marketplace channel | Cutting keywords to improve ACoS | 19% | 14% | Warning: ACoS improved but TACoS went up. Organic sales are dropping. |
What is a ‘good’ TACoS? Are there reference benchmarks?
A TACoS between 10% and 15% points to a healthy organic foundation underneath your paid campaigns, according to Ad Badger. But the ideal number depends on your product margin and lifecycle stage.
According to Ad Badger , a TACoS between 10% and 15% indicates that paid campaigns are supporting a solid organic base. The average ACoS on Amazon in 2025 is 30.4%. The data SellerStack out of 89 accounts measured between June and August 2026 show a median ACoS of 31.4%.
However, TACoS needs to be looked at alongside margin. For a seller already paying a 15% referral fee to Amazon plus fulfillment costs, a 10% TACoS is a cost item comparable to the fee itself. Exceeding 20% on a mature product is a sign that the organic channel isn't growing as it should.
Benchmarks published by vendors should be taken with a grain of salt: they rarely specify whether they include only Sponsored Products or also Sponsored Brands, Display, and DSP, nor whether sales are gross or net of returns. Before comparing your TACoS with an external benchmark, make sure the definitions are the same.
Why are people talking about this now: is the ADV market really changing?
Digital ad spend is growing across Europe, Retail Media has surpassed 10% of total digital for the first time, and platforms are increasing fees for sellers. In this context, measuring ROI accurately is no longer optional.
The Retail Media - meaning advertising sold directly by marketplaces like Amazon, as well as by retailers like Zalando or Esselunga - reached 13.3 billion euros in Europe in 2025, with growth of 16.7% compared to 2024, surpassing 10% of total European digital spending for the first time, according to the report IAB Europe AdEx Benchmark 2025 .
In Italy, digital advertising spending reached 5.5 billion euros in 2024, up 12% compared to 2023, according to Netcomm . Italian B2C e-commerce reached 62 billion euros in 2025, with 35.2 million online shoppers, according to data from Netcomm / Politecnico di Milano Observatory .
Add to this the pressure on costs. According to the lawsuit filed by the Federal Trade Commission (FTC, the US antitrust authority) and 22 US states against Amazon on August 31, 2026, the click share charged to the advertiser at full price allegedly rose from about 4% at the end of 2020 to 79.1% in 2024. Amazon disputes the allegations. If click prices go up, the numerator of TACoS grows: having a large denominator—total sales—helps see the real impact on the business, not just on a single campaign. You can learn more about advertising attribution and its limits in the article on advertising attribution and data models for SMBs .
Does TACoS always tell the truth? What are its limits?
TACoS is a powerful tool but it's not causal: a drop in TACoS could be due to a competitor running out of stock, a price cut, or a social media mention, not necessarily the advertising. It needs to be read alongside other signals.
TACoS measures correlation, not causation. Organic sales can grow for many reasons: a competitor running out of stock, favorable seasonality, a viral TikTok post, a temporary offer. In all these cases TACoS drops, but it's not thanks to the campaigns. To understand how much advertising really contributes to sales, you need experiments or incrementality models — a topic explored in depth in the article on conversion lift and real impact of paid campaigns .
| TACoS limitation | What it hides | How to manage it |
|---|---|---|
| It is not a coincidence | Organic sales can grow for reasons unrelated to advertising | Pair with incrementality tests or scenario analysis |
| Hides cannibalization | Ads on your own brand capture people who would have bought anyway | Separate branded campaigns from non-branded ones in the calculation |
| Depends on definitions | Gross or net sales? Only Sponsored Ads or DSP too? | Set a definition and stick to it over time |
| Misaligned time windows | ADV spend and total sales do not share the same attribution window | Use monthly or quarterly periods, not weekly ones |
| Non-standardized benchmarks | Vendors publish targets without specifying the definitions used | Build your own internal benchmark using at least 6 months of data |
A specific case is cannibalization : ads on your own brand name can capture users who would have bought anyway through organic results. A stable TACoS can hide a shift of sales from the free channel to the paid one. Separating branded campaigns from non-branded ones in the calculation is the most direct way to see this. This type of analysis is closely tied to how campaign results are measured: the article on conversion lift dives deeper into this exact point.

How to get started: concrete steps to begin using TACoS?
Three data sources and a spreadsheet are all you need to get started. The key is to lock down your definitions before gathering the numbers, not after.
Before automating with a third-party tool, it's worth building TACoS manually at least once. It helps you understand the choices you're making and avoids blindly trusting a dashboard number without knowing how it's calculated. This also applies to those running campaigns on other marketplaces or Google Shopping: the principle is the same, even if the data sources change. For those who want to dive deeper into how to measure ROI even outside of marketplaces, the article on how to measure the ROI of events and creator marketing offers a complementary perspective.
- 1 · Ads manager Define what you are measuring Decide whether to include only Sponsored Products or also Sponsored Brands and Display. Choose whether to use gross or return-net sales. Write down the definitions and stick to them.
- 2 · Ads manager Collect spend data Export your ADV spend from the Amazon Ads console for the chosen period (at least one full month).
- 3 p Ads manager / owner Collect total sales Go to Seller Central > Business Reports > Sales and Traffic. Grab 'Ordered Product Sales' for the exact same period.
- 4 · Ads manager Calculate and log TACoS = ADV spend ÷ total sales × 100. Record the result in a shared sheet with the date and definitions used.
- 5 · Ads manager / marketing manager Build the historical series Repeat the calculation every month for at least 6 months. Only historical data allows you to spot trends and build an internal benchmark.
- 6 · Marketing manager / owner Evaluate whether to automate If you manage more than 50 SKUs or multiple marketplaces, tools like Helium 10 or Perpetua automate the join and show TACoS in real-time.
What are the most common mistakes with TACoS?
The most common mistake is comparing TACoS calculated with different definitions, or using the number without first building a historical trend. A single month tells you nothing.
Beginners using TACoS often make one of these mistakes. The first is comparing their TACoS to an external benchmark without checking that the definitions are the same: a vendor including DSP in the numerator and another using only Sponsored Products produce incomparable numbers. The second is reading a single month's TACoS as if it were a definitive verdict: seasonality, returns, and stock changes make it naturally fluctuate.
A third common mistake is optimizing ACoS by cutting non-branded keywords to make campaigns look more efficient, without realizing TACoS is going up. This is exactly the case in month 3 of the illustrative example above. Anyone managing campaigns across multiple channels — Amazon, Google Shopping, Meta — should also keep TACoS separate per channel before aggregating them, so as not to lose useful information. On this topic, the article on Shopify and AI channels for e-commerce offers useful context on how channels are evolving.
| Error | Consequence | Solution |
|---|---|---|
| Compare TACoS with benchmarks without checking the definitions | Wrong conclusions about your positioning | Build an internal benchmark over 6+ months |
| Reading just one month | The data is skewed by seasonality or stock-outs | Use 3-month moving averages |
| Optimizing ACoS by cutting keywords | TACoS goes up, organic sales drop | Monitor ACoS and TACoS together, not as alternatives |
| Do not separate branded and non-branded | Invisible cannibalization | Calculate separate TACoS for branded campaigns |
| Aggregate different marketplaces | Loss of signals per channel | TACoS separated for each marketplace, then aggregated |
How do you know if TACoS is really improving?
TACoS should be read in historical series and accompanied by at least three other indicators: the organic sales share, the product's organic ranking, and the net margin. Only together do they provide a complete picture.
A dropping TACoS is only a good sign if total sales are not dropping. If your TACoS goes down because you are cutting ad spending and total sales are dropping right along with it, you are not improving: you are just spending less. The positive sign is a dropping TACoS with stable or growing total sales.
| Indicator | What it measures | Positive signal | Recommended frequency |
|---|---|---|---|
| TACoS | ADV weight on total revenue | Declining with stable or growing total sales | Monthly |
| Organic sales share | % sales not attributed to ads | Growing over time | Monthly |
| Product organic ranking | Position in non-paid results | Stable or improving | Weekly |
| ACoS per campaign | Efficiency of the single campaign | In line with the margin target | Weekly |
| Net margin per SKU | Profit after ADV, commissions, and fulfillment | Positive and stable | Monthly |
For those managing budgets across multiple channels, it is worth pairing TACoS with a measure of incrementality — meaning how many sales would have happened anyway without advertising. This is the blind spot of all efficiency metrics, TACoS included. The article on How to check budgets in ADV platforms offers a useful perspective on how to keep total spending under control.
So, is TACoS worth it for my company?
It is worth it if you sell on Amazon or other marketplaces with an established catalog and want to figure out how much advertising is really impacting your total revenue. TACoS gives you a picture that ACoS alone just can't provide.
A middle ground you are in the early stages of launching on a marketplace: TACoS will be high by definition, but monitoring it from the start allows you to see when the organic channel starts to grow and to calibrate your budget accordingly.
Not yet if you only sell on proprietary channels (direct e-commerce site, physical stores) with no presence on marketplaces: in that case, ACoS or ROAS (return on ad spend) per campaign are more direct and sufficient metrics.
How we see it at SHM
For us, TACoS is a good example of how technology — in this case a simple formula — gives back time and clarity to decision-makers. It is not a sophisticated tool: it is a different denominator. But that denominator completely changes the question asked by those managing an advertising budget: no longer 'how much do my ads return?' but 'how much does it cost me to do business on this channel?'.
We believe that making digital simple is the highest form of expertise. TACoS is a practical example: it takes two already existing reports, combines them, and generates a number that tells you way more than the two separate ones. The issue isn't how complex the tool is, but having the discipline to use it with consistent definitions over time.
We work with e-commerce and marketplace companies on this type of analysis as part of our services for Data processing and business intelligence and of digital campaigns management . If you want to figure out how to set up your ad ROI tracking, the starting point is always a conversation: Write to us .
Keep an eye on the evolution of the ADV landscape in our dedicated section at Marketing and ADV performance .
Frequently Asked Questions
ACoS divides ad spend only by sales attributed to ads from that platform. TACoS divides that same spend by all sales in the period, including organic ones. TACoS is harder to make look better with superficial tweaks, because it includes all revenue in the denominator.
No. Amazon reports ACoS, ROAS, and other campaign metrics, but not TACoS. To calculate it, you need to combine data from the advertising console with the Seller Central Business Reports, or use third-party tools like Helium 10 or Perpetua that do it automatically.
According to Ad Badger, a TACoS between 10% and 15% points to a solid organic foundation beneath paid campaigns. But the right number depends on product margin and the life cycle stage: a newly launched product will have a much higher TACoS, which should drop over time as organic ranking grows.
The principle is the same: divide total ad spend by total channel or business sales. The data sources change (Google Ads, Meta Ads Manager, e-commerce platform), but the logic is identical. In this case, people often talk about 'blended ROAS' or 'marketing efficiency ratio', which are the inverse of TACoS.
Because organic sales can grow for reasons outside of advertising: a competitor running out of stock, favorable seasonality, a price cut, a social media mention. TACoS measures a correlation, not a cause. To figure out how much advertising really contributes to sales, you need incrementality tests.
Monthly frequency is the most useful for most sellers. Shorter periods are distorted by stock variations, returns, and misaligned attribution windows. A time series of at least 6 months is the best way to build an internal benchmark and read trends reliably.
TACoS is not a brand new metric: it is the exact same ad spend viewed from a much more honest perspective.
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