Campaign 11 Branded queries over time
Less ad spend, 14.84% ACoS: is branded advertising really more efficient?
Spend falls by 31.5%, but attributed sales fall by 41.8% and purchases halve. For a campaign labelled for branded Phrase targeting, that is a reason to check paid coverage before restoring a budget. The practical task is to identify the queries and products behind the decline.
In 30 seconds
Lower spend is not proof of better efficiency when advertising cost per attributed sales euro rises.
- What we see
- From September 12–18 to September 19–25, spend and purchases fall while ACoS rises from 12.60% to 14.84%.
- What to check
- Separate actual branded queries from generic ones, then compare their paid visibility, purchases and advertised products.
- The next decision
- Do not restore the previous budget yet. Reconsider a specific coverage proposal only after query-level visibility and product economics support it.
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
- €269.62
- After
- €184.82
- Change
- -31.45%
Attributed ad sales
- Before
- €2,140.53
- After
- €1,245.00
- Change
- -41.84%
Purchases
- Before
- 10
- After
- 5
- Change
- -50.00%
ACoS
- Before
- 12.60%
- After
- 14.84%
- Change
- +2.24 percentage points
Ad cost per purchase
- Before
- €26.96
- After
- €36.96
- Change
- +37.10%
Attributed ad sales per purchase
- Before
- €214.05
- After
- €249.00
- Change
- +16.33%
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
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Captured Open the earlier week’s original
After · later period
Sep 19–25, 2026
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Captured Open the later week’s original
Chart scales can differ; compare the numbers, not the height of the lines.
Our proposed action plan
Build a branded-query map
Export the search-term reports for both weeks using matching reporting and attribution rules. Create branded, generic and unclear groups. Show reported spend and purchases for each, reconciling their coverage with the campaign totals. An absent query row remains unknown, not a confirmed zero.
Locate the paid-coverage gap
For the same reported queries, compare available impressions and clicks before purchases. Record the associated advertised product only where the reports support the relationship. Deliver a short list identifying whether the observed change concerns paid visibility, traffic or attributed outcomes; leave unsupported branches open.
Check whether the gap deserves funding
For a shortlisted query, add stock, price, margin before ads and existing keyword coverage. Compare documented bid or budget changes with the reporting dates. The output is one coverage candidate with its economic allowance, or a reason not to fund it, rather than a campaign-wide instruction.
Write a coverage proposal, not a reset
If the evidence supports action, name the query, the actual setting to change, starting value, maximum exposure and review date. Keep other settings stable or document them. Until the visibility and margin inputs exist, retain the current proposal status: investigate, with no automatic budget restoration.
The starting point
The earlier week shows €269.62 in ad spend, €2,140.53 in attributed sales and ten purchases. The later week shows €184.82, €1,245 and five purchases. Both original captures refer to the same campaign in Germany. Each window covers seven days with the same weekdays.
The later 14.84% ACoS means €14.84 in advertising cost for every €100 of attributed sales, compared with €12.60 earlier. The smaller bill therefore does not accompany a better cost share here. Attributed sales are the sales Amazon links to advertising under its reporting rules, not all product revenue and not the profit earned from those sales.
The strategic question
Start with query identity, not the campaign label. A Phrase keyword may reach more than a brand-only audience. Mark a query as branded only where the text supports that classification, leaving ambiguous terms separate. The first useful output is a map of actual paid traffic, not an assumed new-customer rate.
Then distinguish fewer paid impressions, fewer clicks and fewer attributed purchases. Each points to a different investigation, but impressions and clicks are absent here. A report can reveal reduced paid visibility; it cannot establish lower total Amazon demand or how many purchases would have happened without an ad.
How we would judge the test
After an approved coverage test, compare the same query groups across affected campaigns. Record paid impressions and clicks where available, attributed purchases and cost against the agreed product allowance. Do not judge recovery by spending more or by ACoS alone.
Set the stopping boundary before approval and review a complete window with price and stock changes noted. Organic sales require their own source. The two existing weeks document observations, not a test of whether branded advertising created or protected those sales.
What this weekly comparison establishes
Keep the original periods and the evidence needed for a follow-up test documented separately.
- 01 · Preserve the baseline
- Original earlier capture: €269.62 in spend, ten purchases and 12.60% ACoS.
- 02 · Document one change
- No approved intervention is established between the captures. Any proposed explanation needs support from the actual history.
- 03 · Measure on equal terms
- Original later capture: €184.82 in spend, five purchases and 14.84% ACoS; the same campaign, not proof of an intervention effect.
When to act — and when to wait
For now, do not restore the old budget. Revisit that decision when the same branded query shows a supported paid-coverage gap, the product is available and its margin supports the proposal. Stop at the agreed spending boundary, or earlier if those conditions no longer hold.
Before approving a change
- Branded, generic and unclear queries separated
- Paid impressions and clicks checked where available
- Product margin and availability added
- One coverage proposal with a limit and review date
The central lesson
Control which demand advertising can reach economically, not just the size of the bill.
Evidence, methodology and further reading
The two weeks document neither a bid reduction nor how many purchases would have happened without advertising.
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.