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General Dropshipping
From Zero to €2.2 Million Through Google Ads in Five Months

How I scaled a general dropshipping store across 18 markets with Performance Max, Labelizer and phased country expansion while maintaining a profitable blended ROAS.
€2.2M+ attributed revenue
53,000+ conversions
18 markets launched or tested
How I scaled a general dropshipping store across 18 markets while maintaining a profitable ROAS.
The Starting Point
When I started working on the account in February 2026, there was no meaningful Google Ads history.
The store operates with a large and constantly changing product range. Winners can scale quickly, but product demand, margins and performance can change just as fast.
The challenge was clear: grow aggressively across multiple countries without losing control over profitability.

Case profile | Details |
|---|---|
Niche | General dropshipping store |
Story type | Zero to multi-country scale |
Strategy | Performance Max, Labelizer and phased country expansion |
Period | February to July 2026 |
The Results
In roughly five months, Google Ads generated:
Metric | Result |
|---|---|
Attributed revenue | More than €2.2 million |
Advertising spend | Nearly €1 million |
Conversions | More than 53,000 |
Blended ROAS | Above 2.2 and profitable |
Markets | 18 launched or tested |
Germany became the main scaling market. The largest Performance Max campaign alone generated more than €780,000 in revenue at a 2.55 ROAS. Austria, Switzerland, Italy, Sweden, the United Kingdom, Denmark, France and Finland also developed into meaningful revenue drivers.

Turning the Main Market Into the Scaling Engine
The first priority was to prove the model in the main market before expanding more aggressively.
Once enough conversion data was available, I introduced a Labelizer strategy. Products were automatically separated based on performance. Proven winners moved into the Heroes campaign, while new products and underperformers received their own space to collect data.
This prevented weaker products from holding back the strongest sellers. It also gave new products a fair chance to prove themselves.
The Labelizer is currently active in the main market. The same structure will gradually be introduced in other countries once they generate enough volume.
The campaign structure should follow the data, not the ambition.
Expanding Into New Countries in Controlled Waves
The store did not launch in every market at the same time. After proving the economics in the core market, new countries were added in waves. The rollout moved from nearby European markets into Southern Europe, the Nordics, the United Kingdom and selected international markets.
Each country initially received a consolidated setup. This gave Google enough data to understand the market without spreading the budget across too many campaigns.
From there, every market had four possible outcomes:
Scale when profitable traction appeared
Maintain when more data was needed
Pause when the economics were not strong enough
Relaunch after clear blockers were resolved
Several countries were deliberately paused and relaunched rather than being allowed to spend indefinitely.
Short Communication Lines With the Operational Team
Scaling this quickly requires more than optimising campaigns inside Google Ads.
I work closely with the owner and his team of VAs. We have a weekly performance call and often check in daily when products, margins or campaigns require action.
A custom script shares real-time account changes with the team in Slack. I also provide Merchant Center reports containing product issues, so the VA team can immediately fix disapprovals, missing attributes and feed errors.
This creates a fast loop between advertising and operations. No waiting for a monthly report. Issues are spotted, shared and resolved while they can still make a difference.
Feed Health and Unit Economics
For a general store, feed health is part of the scaling strategy. A single product issue can block thousands of products from receiving traffic. That is why product approvals, pricing, availability, shipping information and landing page consistency are monitored closely.
Unit economics receive the same level of attention. Revenue and platform ROAS alone do not tell us whether the store is making money. We also need to understand product costs, shipping, transaction fees and other variable expenses.
That allows me to make scaling decisions based on actual profitability rather than an attractive dashboard metric.
Recovering From a Merchant Center Suspension
During the scaling phase, the Merchant Center account was suspended for misrepresentation. For a Shopping-focused dropshipping store, that can stop growth almost overnight.
Instead of immediately requesting another review, I first audited the main trust and policy signals across the website, feed and Merchant Center.
Business and contact information
Shipping and delivery expectations
Return and refund policies
Payment methods and checkout transparency
Pricing, currencies and product availability
Legal pages and product claims
Alignment between the feed and landing pages
After the necessary adjustments were completed, a new review was submitted. The suspension was lifted within a relatively short period.
The Comeback
The suspension created a clear interruption in the account’s growth. After reinstatement, the campaigns regained traction quickly. Budgets were rebuilt in a controlled way and the account continued towards new revenue highs.

The account did not need to be rebuilt from scratch. The structure was already strong enough to restore data flow, stabilise bidding and scale the best product and country combinations again.
The Result
In approximately five months, this general dropshipping store grew from a new account into a multi-country acquisition engine.
The growth came from a clear operating model:
Prove profitability in the main market
Separate winners from underperformers
Add countries in controlled waves
Keep new markets consolidated
Introduce the Labelizer once volume supports it
Keep the owner and VA team close to the data
Treat feed health and compliance as growth priorities
Scale based on unit economics
Fast scaling does not require reckless decisions.
It requires a system that makes it clear where to push, where to wait and where to stop.
Recognise This?
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