All case studies

Campaign 14 Exact without premature scaling

From 24.11% to 4.11% ACoS: ready for a bigger budget?

A move from 24.11% to 4.11% ACoS deserves attention, but the later week contains only six purchases. Before adding budget, check the result and a supportable next test.

Uptova editorial · Strategy analysis4 min readSeptember 12–18 and 19–25, 2026Observed data · Proposed strategy

In 30 seconds

A striking ratio change is a reason to investigate, not a dependable promise that the result will scale.

What we see
Spend falls from €391.74 to €59.25 and attributed sales from €1,624.96 to €1,439.99. Seven purchases become six.
What to check
Confirm the totals, inspect available ASIN-level aggregates and compare the change history with the two reporting windows.
The next decision
Keep additional spend on hold. Revisit a limited test only after stable reporting, stock and product economics support a specific opportunity.

Observed campaign data from one advertising account. The steps below are proposals, not documented actions or measured improvements caused by Uptova.

Numbers & original evidence

Both weeks at a glance

Sep 12–18, 2026Sep 19–25, 2026

Ad spend

Before
€391.74
After
€59.25
Change
-84.88%

Attributed ad sales

Before
€1,624.96
After
€1,439.99
Change
-11.38%

Purchases

Before
7
After
6
Change
-14.29%

ACoS

Before
24.11%
After
4.11%
Change
-20.00 percentage points

Ad cost per purchase

Before
€55.96
After
€9.88
Change
-82.35%

Attributed ad sales per purchase

Before
€232.14
After
€240.00
Change
+3.39%

Calculated from period totals. Purchases are ad-attributed purchases, not unique customers. Sales per purchase is neither total basket value nor margin.

View both original captures

The original interface is in English. The values and evidence have not been translated or recreated.

Before · earlier period

Sep 12–18, 2026

Swipe sideways to read. With a keyboard: focus the image region and use the left/right arrow keys.

Anonymized Amazon Ads capture showing cost, attributed sales, purchases and ACoS — Campaign — 14 — Before · earlier period
Original capture · Amazon Ads Campaign Manager
Captured
Open the earlier week’s original

After · later period

Sep 19–25, 2026

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Anonymized Amazon Ads capture showing cost, attributed sales, purchases and ACoS — Campaign — 14 — After · later period
Original capture · Amazon Ads Campaign Manager
Captured
Open the later week’s original

Chart scales can differ; compare the numbers, not the height of the lines.

Our proposed action plan

  1. Verify the unusual change

    Match exports to both captures using the same date and attribution settings. Recalculate cost divided by attributed sales. Add a dated campaign change log, distinguishing verified events from open explanations. Deliver a confirmed comparison plus a short timeline, resolving mismatched totals before considering more spend.

  2. Describe product concentration at the available grain

    Review advertised-product and purchased-product reports separately. The other-purchased-product report has no ad cost per purchased item and is not a complete purchase distribution. Deliver available ASIN-level sales aggregates with their coverage and attribution noted, without inventing purchased-product ACoS or individual-order evidence.

  3. Observe the same query and offer

    Identify the actual queries and supported advertised products, then add price, stock, fees and product costs. Define an observation window and product allowance before examining the next result. The deliverable is a stability check for a named segment, not a promise that 4.11% will persist.

  4. Define the condition for a later spend test

    Prepare additional spend only if a specific opportunity remains visible, the offer is available and its economics support it. Record the setting, starting value, maximum cost and review date. Otherwise retain observation. A low campaign ratio by itself is not a reason to raise a budget.

The starting point

The original captures concern the same campaign in Germany, labelled Exact. The label does not replace a check of its actual targeting settings. September 12–18 records €391.74 in cost, €1,624.96 in attributed sales and seven purchases. September 19–25 records €59.25, €1,439.99 and six purchases. Both windows have equal length and matching weekdays.

A 4.11% ACoS means €4.11 in advertising for every €100 of attributed sales, substantially below the earlier €24.11. But the revenue remaining after ad spend is not reported profit: product costs, fees, returns and other costs are absent. The ratio also does not show how many further purchases additional advertising spend could generate.

The strategic question

Exact narrows a keyword decision but does not remove the need to inspect actual queries. With six reported purchases, concentration by product deserves attention where available reports support it. Advertised-product and purchased-product reports provide aggregates with different coverage, not a transaction-level reconstruction of each order. Unknown portions of the result must remain unknown.

Spend falls by 84.9%, while attributed sales fall by 11.4%. That is striking, but it does not identify a cause. Start a dated change log covering bids, budgets, price, stock and listing changes. A documented event can guide a hypothesis; the time difference alone does not establish its effect or the repeatability of this ratio.

How we would judge the test

At the review date, compare the same reported queries and supported ASIN aggregates. Put purchases, cost and attributed sales together. A different product mix or incomplete report coverage changes what can be concluded; it does not justify filling the gaps with assumed order values.

If a spend test is later approved, evaluate the named segment against its agreed cost and offer conditions. Record concurrent changes. Another observed week improves documentation, but neither that week nor these existing captures establish incremental sales without an appropriate causal evaluation.

What this weekly comparison establishes

Keep the original periods and the evidence needed for a follow-up test documented separately.

01 · Preserve the baseline
The earlier original capture shows seven purchases, €391.74 in cost and 24.11% ACoS.
02 · Document one change
No intervention is documented. The striking change is not attributed to Uptova or to a particular campaign setting.
03 · Measure on equal terms
The later original capture shows six purchases, €59.25 in cost and 4.11% ACoS; further scalability remains untested.

When to act — and when to wait

For now, observe without adding budget. Revisit a limited spend test when a complete follow-up report supports the same query and product opportunity, the product is in stock and the cost model supports the allowance. Reassess earlier if price, stock or the agreed spending boundary changes.

Before approving a change

  • Totals reconciled with a dated change log
  • ASIN aggregates and coverage kept explicit
  • Same query and offer observed again
  • Later spend test conditional on margin and stock

The central lesson

The low ACoS deserves attention; a bigger budget deserves its own evidence.

Evidence, methodology and further reading

No documented intervention explains the change, and the captures provide no forecast for additional advertising spend.

How to read these case studies
  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.

Which decision holds up in your account?

Start with your own data. A free profit audit shows what deserves review before you approve a change.

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