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
Engagement
From Day 0
What we changed
The Spec Sheet, Not the Sales Pitch
Every lever pulled on this fashion · 8-fig dropship 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 fashion · 8-fig dropship 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. The win was running the same playbook across all of them with niche-tuned thresholds.
- 02
Q4 is built in Q3
September: feed validation, asset rotation, BFCM-specific PMax. By the time November arrived the campaigns were learned, the bidding was tuned, and the team only had to manage budget velocity.
- 03
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.
The curve, knowing what happened
Multiple stores at €10-15K/day. Black Friday landed where it was supposed to. Not just media buying. Every KPI dialled in.
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Revenue
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ROAS
3.6x
Days
60
- Fashion · 6-fig DropshipEU
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Revenue
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ROAS
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Days
180
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