Data first
I look at the numbers before I have an opinion, and I keep looking. A campaign is never done. There's always a creative to test, a bid strategy to revisit, an audience that's drifted.
I didn't plan to end up in marketing. I built a translation agency and got tired of paying agencies to run ads that didn't convert, so I started running them myself. Turns out I liked the part where you can prove what works.
Tools are not a flex. Only the ones that actually move the number stay in my stack, and each one below has been run on real campaigns, not a demo account.
I look at the numbers before I have an opinion, and I keep looking. A campaign is never done. There's always a creative to test, a bid strategy to revisit, an audience that's drifted.
If a campaign isn't working, that's mine to figure out. That includes the boring parts: tracking setup, naming conventions, audience exclusions. The stuff that makes the data trustworthy six months later.
I use AI to speed up research, content generation, and reporting automation. The parts of the work where speed matters more than judgement. When it earns its place, it's a serious efficiency lever.
"Details make perfection, and perfection is not a detail."
Leonardo da Vinci
I'm looking for Performance Marketing and Digital Marketing roles in Berlin. Available full time, immediately.
If your campaigns aren't converting the way they should, I'd like to understand why.