case-studies/case-3/

260% Profit Growth with a Best Seller PMax Strategy — Adriaan Dekker
Case 03 · Best seller PMax strategy · Beauty and skincare · EU

260% profit growth by scaling
what was already working

GoalScale revenue profitably across EU markets TacticPMax split by product performance, budget on proven winners PeriodFeb to Mar 2026 vs Feb to Mar 2025
+260%
Net profit growth year on year
5,868 to 21,140 in the same month
+182%
Revenue growth
14,571 to 41,153 conversion value
+26%
POAS improvement
1.63x to 2.06x despite doubling spend

The situation

This beauty and skincare brand was running a single Performance Max campaign targeting the Netherlands and Belgium. It was generating sales but the account had no distinction between products that converted well and those that were quietly wasting budget. All products competed for the same spend, and the algorithm was not getting the clear signals it needed to perform at its best.

The previous year the account spent 8,912 euros and generated 14,571 in conversion value at a POAS of 1.63x. Net profit was 5,868. Not bad, but the structure was leaving a significant amount of growth on the table.

When every product is treated the same, the algorithm has no way to prioritise. You get average results across the board instead of exceptional results where it matters most.

What I did

The same principle as Case 02, applied to a different category with more nuance around geographic expansion and brand versus non-brand traffic.

01

Split PMax into best sellers and the rest

Created two separate Performance Max campaigns: one containing only the top-converting products, the other containing everything else. The best seller campaign received the majority of the budget increase. The second campaign runs on a controlled budget to gather data without wasting spend.

02

Isolate brand traffic in Search

Brand search was separated into its own campaign with a high target POAS. This protects branded traffic from being diluted by broader generic terms and allows separate budgeting and bidding for high-intent, low-cost branded clicks.

03

Expand to Germany with a separate PMax

Rather than adding Germany into existing campaigns and muddying the signals, a standalone PMax campaign was created for the DE market. This keeps learning and optimisation separate per market and makes performance transparent per country.

04

Scale budget where the data earned it

Total spend increased from 8,912 to 20,013 euros, a 124% increase. Because budget went specifically to proven performers, revenue grew 182% and net profit grew 260%. Efficiency improved even as scale increased.

Year on year results
Ad spend8,912 to 20,013
Revenue14,571 to 41,153
POAS1.63x to 2.06x
Net profit5,868 to 21,140
Profit ratio39.7% to 51.4%
Clicks+75%
Conv. rate3.58% to 8.66%
Cost per conv.7.83 to 11.94
What made the difference

Spend doubled but profit tripled. That only happens when budget goes to the right places. Segmentation, brand isolation, and market separation were the three changes that made it possible.

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Adriaan Dekker
Adriaan Dekker
Google Ads Specialist, B2B and E-commerce
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