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Case Nº 09 · E-commerce

$257K → $610K Revenue — 137% YoY Growth

Revenue grew 137% year-on-year. Ad spend up 111%. Efficiency improved simultaneously.

Client
E-commerce Brand
Industry
E-commerce
Monthly budget
$60K / month
Focus
Shopping · Attribution
Key result Verified outcome
+137%
Spend +111% · ROAS +12.4% simultaneously
$257K→$610K
Revenue growth
+137%
Conversion value YoY
+79.4%
All conv. value
+12.4%
ROAS improvement

Revenue grew 137% year on year.

Revenue grew from $257K to $610K — a 137% year-on-year increase. ROAS improved 12.4%. All-conversion value grew 79.4%. Ad spend increased 111% alongside revenue, but efficiency improved simultaneously — proving the account rebuild wasn't just a spend increase but a genuine performance improvement. The attribution correction alone revealed that 28% of revenue was coming from channels that had been under-attributed and under-funded.

060120180240+137%BaselineMo 2Mo 4Mo 6Mo 8Mo 10Mo 12
Revenue index (YoY)
Challenge

Plateaued on a broken base

Fragmented campaigns, broken attribution and zero creative testing capped performance no bid could break.

Approach

Rebuild the foundation

Consolidated structure, data-driven attribution, trained Target ROAS, and continuous creative rotation.

Outcome

$257K → $610K

137% revenue growth with ROAS up 12.4% — scaling and efficiency together.

01 The problem

A North American e-commerce brand had plateaued on paid channels despite consistent monthly spend of $60K. Conversion value had stagnated year-over-year and management was questioning the ROI of their entire paid acquisition programme. The underlying problems ran deeper than underperforming ads. Campaign structure was fragmented across account types with no coherent bidding hierarchy. Attribution was broken — a mix of last-click and unconfigured models was masking true channel contribution and causing budget to flow toward low-value traffic. Creative testing was absent, with the same assets running for months without rotation.

Remove the ceiling, not raise the bid.

The opportunity was there all along — the account structure was the thing capping it.

01

Structure consolidation

Consolidated fragmented campaigns, set clear bidding hierarchies, and separated brand from non-brand correctly.

02

Shopping rebuild

Rebuilt product feed and Shopping architecture to capture high-intent purchase queries with segmented bidding tiers.

03

Target ROAS, trained

Replaced misapplied bidding with properly trained Target ROAS strategies tied to real conversion value.

04

Attribution corrected

Rebuilt tracking with data-driven attribution, revealing 28% of revenue came from under-funded channels.

Scale and efficiency, together.

Revenue+137%
Before
$257K
After
$610K
ROAS+12.4%
Before
Baseline
After
+12.4%
All-conversion value+79.4%
Before
Baseline
After
+79.4%

03 The results

Revenue grew from $257K to $610K — a 137% year-on-year increase. ROAS improved 12.4%. All-conversion value grew 79.4%. Ad spend increased 111% alongside revenue, but efficiency improved simultaneously — proving the account rebuild wasn't just a spend increase but a genuine performance improvement. The attribution correction alone revealed that 28% of revenue was coming from channels that had been under-attributed and under-funded.

A year, foundation up.

Structure → feed → bidding → attribution.

Months 1–2

Structure consolidation

Consolidated campaigns and set a coherent bidding hierarchy across the account.

Months 3–4

Shopping & feed

Rebuilt the product feed and Shopping architecture with segmented bidding tiers.

Months 5–7

Target ROAS trained

Migrated to properly trained value-based bidding on clean conversion data.

Months 8–10

Attribution fixed

Data-driven attribution redirected budget to the 28% of revenue that was under-funded.

Months 11–12

$610K

Revenue reached $610K, up 137%, with ROAS improving 12.4% as spend scaled 111%.

What the brand kept.

Documented, portable, and owned by the client not locked inside our account.

  • ✓Consolidated account structureClear hierarchy, brand vs non-brand split.
  • ✓Rebuilt product feedShopping architecture with bidding tiers.
  • ✓Target ROAS configurationValue-based bidding tied to revenue.
  • ✓Data-driven attributionTracking that reflects true contribution.
  • ✓Creative rotation frameworkContinuous testing, no stale assets.
  • ✓Channel-contribution dashboardWhere revenue actually comes from.

04 Why it worked

The account had plateaued not because the opportunity wasn't there but because the foundation was broken. Fragmented campaigns, wrong attribution, and absent creative testing create a ceiling that no amount of bid adjustment can break through. The rebuild removed the ceiling. 137% revenue growth while improving ROAS shows that scaling and efficiency aren't trade-offs when the account structure is right.

”
We thought we'd hit our ceiling. They showed us the ceiling was the account itself — rebuild it and revenue more than doubled.
EC
Head of E-commerce
North American E-commerce Brand
SaaS / Enterprise
+261.9%
Value per conversion
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