Driven by data, run on profit
The brief was simple: grow without letting marketing costs get out of hand. Spending more budget wasn't an option, and it wasn't necessary either. The only way to scale was to hold Google Ads ruthlessly accountable for profit.
So within Google Ads, we boiled every campaign, every channel and every segment down to one question: does this demonstrably make a profit or not? Data- and AI-driven analysis showed right away where returns were being made and where money was leaking out. Anything that didn't make a lasting contribution to profit was cut, no discussion.
We didn't scale profitable Google Ads campaigns cautiously. We expanded them in a controlled, focused way. By constantly testing, optimizing and adjusting, efficiency held steady while volume grew. Growth wasn't bought, it was forced.
Over the full period, this delivered €7.39 million in revenue from more than 18,100 orders, with total Google Ads costs of €399,000. Compared with the same period a year earlier, that meant 60% more revenue while costs rose by only 30%. The result: a ROAS of 1,851%.
No luck, no spike, but a scalable model in which every extra euro demonstrably contributes to profit. This case shows that scale isn't a risk, as long as Google Ads is run on data, powered by AI and held accountable for results.
How we approach Google Ads




