The question
Your account ACoS is 21%, comfortably below its sales-weighted break-even line of 36%. Would you say every product is contributing? Pause before answering. An account total can be healthy while one product spends more than its own margin allows.
Work through the numbers
Continue with the two $40 products from lesson 1. This illustrative 30-day period has settled attribution, consistent sales definitions and one contribution rate per product.
| Measure | Product A | Product B | Together |
|---|---|---|---|
| Ad-attributed sales | $8,000 | $2,000 | $10,000 |
| Ad spend | $1,600 | $500 | $2,100 |
| ACoS | 20% | 25% | 21% |
| Break-even ACoS | 40% | 20% | 36% weighted |
| Contribution before ads | $3,200 | $400 | $3,600 |
| Contribution after ads | $1,600 | −$100 | $1,500 |
The formula
Blended ACoS = total ad spend ÷ total ad-attributed sales
Weighted break-even ACoS = total contribution before ads ÷ total ad-attributed sales
Product contribution after ads = product ad sales × product break-even ACoS − product ad spend
The combined ACoS is $2,100 divided by $10,000, or 21%. It is not the simple average of 20% and 25%. The product with more sales carries more weight.
For each product, estimated contribution after ads is ad sales multiplied by its break-even ACoS, minus ad spend. Product B leaves $2,000 × 20% − $500 = −$100. Product A’s $1,600 contribution makes that loss easy to miss in the total.
If you choose to keep 10% of revenue after ads, A’s target is 30% and B’s is 10%. A is below target. B is above even its break-even line. They need different reviews despite sharing the same account.
This does not mean turning B off will increase account contribution by exactly $100. Orders, traffic and spend can change after an intervention. It tells you where to investigate, using product economics rather than the account average.
A published case to examine
My sample cosmetics audit reported $2,591.91 in spend and $3,526.81 in ad-attributed sales, for a 73.5% ACoS. Return on ad spend, or ROAS, divides attributed sales by spend. Sponsored Products took approximately 90% of spend at a 1.11 ROAS; Sponsored Brands and Sponsored Display had reported ROAS values of 2.23 and 4.70.
That snapshot illustrates why separating groups matters: the aggregate covered different advertising economics. It does not document the product-level losses in the teaching table. Without each group’s product margins, even a higher ROAS is insufficient to establish profit.
Try it on your numbers
- Open Catalog Profit Check with the product costs from lesson 1.
- Add “ACoS today” and “Ad sales / month” for the same settled 30-day period. Use a product-level report and check whether the sales column includes sales of other products.
- Compare every product with its own break-even and target lines. Read the contribution estimate beside it before returning to the blended figure.
- Choose one product to investigate. Write down whether the issue is low contribution before ads, high advertising cost, or both.
- Download the result CSV if you want to keep the review. For the search terms behind a product, continue with Search Term Report Checker.
What still needs your judgment
A product-level loss estimate depends on matching its margin to the attributed sales. Halo sales are credited purchases of products other than the advertised item. They can make a single margin misleading, as can mixed margins, changing prices and refunds. The tool does not separate advertising’s effect from orders that would have happened anyway.
Before changing budgets, check inventory, campaign purpose and whether the losing product is part of a documented launch test. A healthy blended number gives you permission to ask more precise questions; it does not answer them.
Explain it to your team
“The account is contributing overall, but Product B is below its own break-even line. I want to inspect its search terms before changing the account’s target.”
← Lesson 1: Find the ACoS your product can afford
Coming October 20
Give search terms a fair test before adding negatives
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