Imagine this.
Your Shopify fashion store goes from almost no sales from Google Ads to more than €85,000 in revenue in one month. You do it with branded dropshipping, over 1,300 orders, and a stable 2.9× ROAS. All while keeping 25%+ profit margins.
That is what happened in this case study with David’s fashion brand.
In this breakdown, you will see, step by step:
- The real numbers
- The problems he had before
- The Google Ads scaling framework we used
- How we segmented products into champions. winners. testing. losers
- How we improved conversion rate and average order value
- How we duplicated the strategy from Italy into the UK
If you run an ecommerce or Shopify store and want to scale with Google Ads, this is your blueprint.
1. The Results: €85K Revenue > 2.9× ROAS > 1,300+ Orders
First, the numbers.
For this Shopify fashion brand we generated:
- €85,000+ in revenue from Google Ads
- Over 1,300 orders in one month
- A stable 2.9× ROAS
- 25%+ profit margins after ad spen
We spent a bit over €30,000 in ad spend to reach these results.
So for every €1 David put into Google Ads. he got back almost €3 in revenue.
Because his margins were strong, he kept a healthy profit after ads.
Before this month, his results were already growing.
Earlier that month we did an interview when he was at around €64,000 in revenue.
After rolling out the full framework. his revenue jumped to €85K+ from Google Ads alone.
All of this was done for a branded dropshipping fashion store on Shopify.
If you want to see another fashion dropshipping case study, look at:
“How Gunnar Made €200,000 from Google Ads With Branded Dropshipping (Fashion Niche)”
2. The Situation Before: Stuck Below €100K & Afraid to Scale
Before David came to us, he was in a spot many ecommerce owners know:
- Revenue was stuck below €100K per month
- Cash flow was unstable
- Results from Facebook Ads were like a rollercoaster
- Every time he tried to scale the budget, profits dropped like a stone
He had three big problems.
- Unstable cash flow
Good days. Bad days. No pattern. No way to plan stock. team. or salary. - Fear of scaling
When he increased budgets, ROAS dropped hard. So he got scared to push harder. - Too little profit
He and his team worked hard. But the business did not pay him what it should.
It felt like all effort went into ads that “kind of worked”. but not enough.
Like many store owners, he also worked with other media buyers before.
They did not explain what they were doing. There was no clear strategy. No clear numbers.
He felt like money went into a black box.
3. His Goals: Stable Profit, Safe Scaling & Better Conversion
On our first intro call, David was very clear about his goals.
He wanted:
- Stable. predictable daily profit
Not a wild Facebook rollercoaster. but calm. steady days. - Safe scaling beyond old revenue highs
He wanted to pass his old “record months” without losing profit. - Better conversion rate and average order value
So every click from Google Ads would be worth more.
In short, he did not just want “more traffic”.
He wanted a real system for profit and scale with Google Ads.
4. Step 1. Fixing Bottlenecks With Product Segmentation
The first thing we did was remove big bottlenecks in his account.
We did that by building a product segmentation system with four clear buckets.
- Champion products
- Get a lot of ad spend
- Bring in strong revenue and profit
- These are the “heroes”
- Winning products
- Already profitable
- Need more budget to grow
- These are “next in line” to become champions
- Testing products
- Do not have enough clicks or sales yet
- Stay in testing until we have data
- Some will become winners, some will die..
- Losing products
- Eat budget
- Do not convert
- Stay in a low-budget “recovery” campaign
- Or get removed completely
We structured the Google Ads account so these four groups each had their own place and budget.
No more mixing everything into one big messy campaign.
This alone already removed a lot of chaos and wasted spend.
Want to see how we think about testing and budgets for Performance Max campaigns.
Read: “How To Test Google Ads Performance Max at ANY Budget Level”
5. Step 2. A Clear Google Ads Scaling Framework
Next, we plugged David’s store into our Google Ads scaling framework.
This is the system we use over and over for ecommerce brands.
It has three pillars:
Pillar 1. Segmentation
We do not run “one big campaign”.
We segment by:
- Product performance. champions. winners. testing. losers
- Campaign type. Shopping. Performance Max. Search. Retargeting
- Market. first Italy. then the UK
- Audience or theme. for example men vs women if it fits the brand
This way we know exactly:
- Which products deserve more budget
- Which campaigns bring in the best buyers
- Which parts are wasting money
We can scale winners without dragging down the whole account.
Pillar 2. Bulletproof Tracking
We made sure tracking was 100% on point:
- Shopify revenue connected to Google Ads
- Conversion tracking for purchases. with real revenue values
- Google Analytics setup to cross check numbers
Now we could see:
- Which product got the sale
- Which keyword or search term brought the buyer
- What the exact ROAS and profit looked like
This gave both us and David full transparency.
No more guessing or “trust me bro” reports.
Pillar 3. Smart Campaign Setup
Then we built a structure that fits ecommerce:
- Performance Max / Shopping campaign
To show product images all over Google: Search, Shopping, YouTube, Gmail etc. - Search campaigns
- Brand search. to capture people who search the brand name
- Non brand search. to target people searching for product terms in the niche
- Retargeting campaigns
To bring back visitors who viewed products but did not buy yet.
We used Smart Bidding with target ROAS. But always linked to real business goals.
We did weekly optimization, not daily panic changes.
We also followed our own checklist for safe scaling.
If you want the general version of that system, look at:
“The Right Way to Scale Your Google Ads in 2025 (Free Checklist)”
6. Step 3. Syncing Shopify, Multi Feed, And Better Data for Google
To give Google the best possible data, we connected his Shopify store to Multi Feed.
This did three important things.
- Synced all product data to Google Merchant Center
- Titles
- Descriptions
- Images
- Prices
- Sent this clean feed into Google Ads
So Shopping and Performance Max campaigns had rich. up to date product info.
- Made tracking more reliable
So we could see exactly which product made how much money.
We also optimized product titles and descriptions for both shoppers and Google.
This helped Google show his products for the right search terms.
It also made the product pages more clear and more “clickable” for buyers.