Campaign 05 Exact search intent
27.31% Exact ACoS: does it fit the product margin?
A 27.31% ACoS becomes easier to judge when you read it as €27.31 in advertising per €100 of attributed sales. The next question is what the product has available before ads. Exact targeting gives a narrower control; it does not answer that economic question for you.
In 30 seconds
Compare advertising cost per €100 of sales with the product’s margin before ads.
- What we see
- The campaign reports 21 purchases and €27.31 of ad cost per €100 of attributed sales.
- What to check
- Calculate the product’s margin before ads and inspect the actual queries and placements.
- The next decision
- Retain the settings if they fit the objective, or prepare one scoped test after the economic allowance is clear.
Observed campaign data from one advertising account. The steps below are proposals, not documented actions or measured improvements caused by Uptova.
Numbers & original evidence
- Ad spend
- €1,404.06
- Attributed ad sales
- €5,141.85
- Purchases
- 21
- ACoS
- 27.31%
View original capture
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Captured Enlarge original capture
The original interface is in English. The values and evidence have not been translated or recreated.
Our proposed action plan
Write the economic calculation
Use the product cost sheet, selling price, fees, fulfilment and return assumptions to produce a margin-before-ads calculation. Show the revenue basis and desired remaining contribution alongside it. Produce the advertising allowance from those inputs, not from a universal ACoS target or an assumed industry margin.
Locate the spend
Read matching search-term, placement and advertised-product reports as separate views and check their attribution windows. Link products to queries only where the relationship is verified; retain campaign or ad-group scope otherwise. Do not manufacture a query–product–placement cross-tab. Calculate conversion rates only from matching clicks and purchases in the same view; 21 purchases alone do not establish a conversion problem.
Choose hold or one supported test
Compare each verified view with the allowance and current settings. If the cost share and volume fit the objective, record why the settings stay unchanged. Otherwise prepare one query or placement test with current and proposed settings, a spending boundary and a review condition. The diagnosis, not an arbitrary percentage cut, determines the proposal.
Make the review comparable
Use the proposal, campaign change history and retail calendar to produce a test record with an owner and effective time. Keep price and listing changes separate where practical. If they must happen together, record them so the later review can explain the combined change.
The starting point
The selected week shows €1,404.06 in spend, €5,141.85 in attributed sales and 21 purchases, with 27.31% ACoS. Attributed sales are credited to advertising under the reporting rules. They are not a profit figure, and subtracting ad spend from them would still leave the product’s other costs to account for.
Exact is a restrictive keyword match type, including plural forms, used to manage specific search demand. It does not prove every shopper’s intent or every placement’s efficiency. The campaign screenshot contains no clicks, actual search queries or product cost sheet, so those reports are the useful next inputs.
The strategic question
Margin before ads is sales less the agreed product and selling costs, before advertising. A reusable calculation is: advertising allowance per €100 = margin before ads per €100 − desired remaining contribution per €100. Use the same revenue, VAT and returns basis throughout, including the agreed fees and fulfilment costs. No product margin is supplied by this capture.
Read 27.31% as a cost share to compare with that room, using a consistent revenue basis. If the product allowance is tighter, identify which query or placement is responsible before proposing a change. If the allowance supports the cost, still examine purchases and volume rather than assuming a larger budget will preserve the same ratio.
How we would judge the test
Follow spend, sufficiently complete attributed purchases and sales in the same verified reporting view. Keep query, advertised-product and placement results separate unless their linkage is established. Compare the cost share with the documented allowance and refresh it when price, fees or returns assumptions change. Use campaign or ad-group scope where finer allocation is unsupported.
Show sales volume alongside ACoS. Lower spend and fewer purchases can improve the ratio while failing the seller’s objective. The next decision should say whether to keep, revise or end the scoped test, with the economic inputs and any volume trade-off visible.
Prepare a credible before/after
For a future test: use matching windows and reporting settings, and document price, stock and listing changes.
- 01 · Preserve the baseline
- Save actual queries, product costs, placements and current settings behind the 27.31% campaign ratio before proposing a change.
- 02 · Document one change
- Record one approved adjustment with its before-state, after-state and spending boundary, keeping unrelated retail changes separate.
- 03 · Measure on equal terms
- Compare cost per €100 of sales, purchases and sales volume for the same scope against the documented product allowance.
When to act — and when to wait
Retain the settings when the verified cost share and volume fit the product objective. Otherwise use the product allowance and scoped evidence to prepare one test; leave a numeric bid proposal open when its inputs are missing.
Before approving a change
- Margin before ads calculated on a clear basis
- Actual queries and placements reviewed
- Clicks available before calculating conversion
- Volume and cost share assessed together
The central lesson
Exact makes the targeting decision more specific. Product economics makes the spending decision meaningful.
Evidence, methodology and further reading
Product margin is not recorded. The 27.31% ratio alone establishes neither profit nor an appropriate bid reduction.
How to read these case studies
- The high-resolution originals were captured directly in an authenticated Amazon Ads session on October 21, 2026. Every capture shows exactly one campaign in Germany. The first ten analyses cover September 19–25; five additional cases also compare September 12–18, 2026. Both weeks contain the same weekdays.
- These campaigns are a deliberately selected sample from one advertising account, not a representative average. Data is not combined across sellers. Account names, campaign names and IDs have been removed by cropping; numbers, chart lines, scales and dates are unchanged.
- ACoS = ad spend ÷ attributed ad sales. The period ratio uses period totals, not the average of daily percentages. Attributed ad sales are neither total revenue nor profit; margins, returns, taxes and organic revenue are absent from these captures.
- The five before-and-after comparisons show observed time windows, not a controlled experiment or a documented Uptova intervention. Review ideas are recommendations, not documented interventions. Lower ACoS can accompany fewer purchases; a week establishes neither durable profitability nor incremental sales.
- The captures were retaken without the pointer after the chart animation finished, then cropped only. No chart was generatively retouched. Cost, sales and ACoS use separate scales, not a shared value scale; gaps in the ACoS line can represent days without a defined daily ratio.
- Reports can use different levels of detail and attribution windows. Queries, products and placements remain separate views unless their relationship is verified. The purchased-product report discussed in these review plans shows purchases of other products but no ad cost; it cannot supply ACoS per purchased product.