Case study · Fashion · 8-fig Dropship
€10-15K/day Across Multiple Stores in Q4
Multi-store operator dialled in to €10-15K/day for Q4. Black Friday landed where it was supposed to.
Monthly revenue
From €220.0K
ROAS
From 3.7x
Monthly spend
From €60.0K
Time in the account
Written by Christopher Krassnig, Founder & CEO of ZenoX Media. Runs the accounts in these case studies. Every number below comes out of one of them.
How Do You Scale Multiple Dropshipping Stores to €10-15K a Day in Q4?
Published Last updated
- Niche
- 8-Figure Fashion Dropshipping
- Market
- Europe
- Spend on day one
- €60.0K/month
- Where they started
- 3.7x ROAS on €220.0K/month
- How long we ran it
- 120 days
What we changed
The Spec Sheet, Not the Sales Pitch
Every lever pulled on this 8-figure fashion dropshipping account, in the order the story tells it. No move listed here that the story does not show.
- 01
One playbook across every store, niche-tuned thresholds
- 02
Feed validation done in September, not November
- 03
BFCM-specific Performance Max built ahead of the season
- 04
Asset rotation planned before Q4 started
- 05
November managed on budget velocity alone
The story
How This 8-Figure Fashion Dropshipping Account Actually Scaled
- 01
Multiple stores, one playbook
Luka and his team run several brands in adjacent niches. The trap is treating each one like a fresh experiment. Every store then restarts from zero, every learning phase gets paid for again, and nobody can tell whether store three is genuinely worse or just three months behind store one. The win was running the same playbook across all of them with niche-tuned thresholds.
- 02
What 'niche-tuned' actually means
Same structure everywhere. Different numbers. The campaign types, the asset group split, the naming, the way products get labelled: identical across every store, so anyone on the team can open any account and know where things are. What moves per niche is the target ROAS, the size of each budget step, and the point at which a product gets cut. Structure is shared. Thresholds are local.
- 03
Q4 is built in Q3
September: feed validation, asset rotation, BFCM-specific PMax. Every campaign needs weeks of conversions before its bidding stops guessing. Launch a fresh Black Friday campaign in November and you pay for its education during the most expensive clicks of the year. So the campaigns that ran in November were built and taught in September.
- 04
New assets go in early too
Performance Max has to serve an asset a lot of times before it knows which ones win. Load the Q4 creative in September and by November Google has already picked its favourites. Load it on the day and you spend Black Friday budget teaching the machine what your ad looks like.
- 05
November was budget velocity, nothing else
Budget velocity means raising budgets in steps the bidding can absorb. Double a budget overnight and the campaign gets shoved back into learning at the worst possible moment. Step it up, let it settle, step it up again. That was the whole November job. No restructures, no new campaigns, no panic.
- 06
ROAS came down on purpose
3.7x at the start, 3.0x at peak, and revenue went from €220K a month to €420K. That is a deliberate trade. Q4 demand only exists for a few weeks, so you buy volume at a lower multiple while it is there and go back to a tighter number in January. Holding 3.7x through November would have meant leaving most of the season on the table.
- 07
Black Friday, not Black Surprise
€10-15K/day is not a peak. It is the run rate, with spikes on top. That floor got built in Q3, so Black Friday did not have to save the quarter. When the day itself is just a good day rather than the whole plan, nobody has to make decisions at 2am on a Friday.
- 08
What to take from it
If you are reading this in October and your Q4 campaigns do not exist yet, you have already lost the cheap part of the season. Build in September, learn in October, spend in November. Running several stores does not change that. It just means you have to be organised enough to do it everywhere at once.
The curve, knowing what happened
Show your working
How We Measured This
- The window
- 120 days, read as monthly snapshots at month 0, 1, 2 and 3. Month 0 is the account before we started, month 3 is the Q4 peak.
- Where the numbers come from
- Revenue, spend and ROAS all come from the client's own Google Ads accounts, added up across the stores we run for them.
- Why the brand is not named
- The brand is not named. These are live accounts, and the edge they built stays theirs, so we publish the numbers and keep the name out of it.
- What you can verify
- The source account is private. ZenoX has not published a redacted export or an independent check for this case.
Multiple stores at €10-15K/day. Black Friday landed where it was supposed to. Not just media buying. Every KPI dialled in.
More like this
More Dropshipping Stories
- Fashion · DropshipEU
From scratch to six figures in 60 days
Cold launch to €100K/month on Google Ads inside 60 days. Zero history, zero pixel, zero excuses.
Revenue
€100.0K/mo
ROAS
3.6x
Days
60
- Fashion · 6-fig DropshipEU
More consistent than Facebook
GMC rebuilt, Performance Max scaled, results steadier than Meta. Faster replies than expected.
Revenue
€88.0K/mo
ROAS
4.0x
Days
180
Drop the URL on WhatsApp. We pull your account up live on a thirty-minute call and show you which leaks would get fixed first.
If we cannot scale you, we say so on the call. No retainer trap. No pressure.