Founded
2023
We run your LinkedIn and Google Ads ourselves and judge them by the pipeline they bring in. The people on your first call are the people doing the work.
LinkedIn campaigns that make your category and your point of view known to the accounts you want, long before they start shopping. We judge them by the pipeline they produce later, and form fills come second.
Google catches the demand that already exists. We bid on category searches with buying intent, your own brand, competitor names and "vs" comparisons. Broad informational searches get answered by AI now, so we leave those alone.
Every retainer needs these two, whether you run one channel or both: tracking that reaches your CRM, and a steady supply of new ads to test.
Whoever you speak to on the discovery call is the person logged into your ad accounts afterwards. Nobody hands you to a junior team once the contract is signed.
Senior consultants win the deal, then hand the account to a 22-year-old fresh out of bootcamp.
Your retainer is billed for the hours we actually work. A quieter month costs you less, and nothing on the invoice needs explaining.
You pay the same whether they built three campaigns or sent three status emails.
We report closed-won revenue, the pipeline created and how fast SQLs move. MQL counts say very little, and most marketing leaders we talk to stopped trusting them a while ago.
Metrics that make the dashboard look green while your sales team gets nothing usable.
Data pulls, report building, creative analysis and keyword research run on automation we built and check ourselves. The decisions stay with one of us. That is how one of us covers work that used to need an agency team.
That was true in 2019. Today, much of a typical agency team's day goes on work that software does faster, and you pay for those hours.
We wrote down the way we work and built AI agents that follow it: how we audit an account, how we find the cause of a drop, how we write a monthly report. Every channel runs on the same methods, and one of us checks what comes out.
Read it from the centre out: our methods, the platforms we know, the AI agents that apply them, and what you get.
Click a channel to see which parts it uses.
We open your ad accounts, CRM, and recent pipeline data. We come back with the top three leaks and what we'd cut on day one.
We rebuild the campaign structure where it needs it and write the first ad briefs and copy, drawing on our library of 1,400+ saved ads that performed. In your CRM we set up lifecycle stages, UTMs and the offline conversion import.
The new campaigns are live. We watch how quickly SQLs come through rather than CPL, and your monthly report says what we've learned so far.
Budget moves to whatever is producing pipeline, the rest gets switched off, and we keep refining attribution until your CEO stops asking where the pipeline is coming from.
“In most B2B accounts I open, the targeting is fine. What's broken is the attribution, and it gets mistaken for a targeting problem. Once you can see which ads lead to pipeline, everything else gets cheaper to fix.”
LinkedIn ↑
“I'd rather turn a client away than run an account I can't make great. Fifteen clients between Christoph and me, hard cap. If the book's full when you land, we'll tell you.”
LinkedIn ↑Ten yes/no questions about your account structure. You get a score and the three fixes that would help most.
Model the path from budget to pipeline to closed-won, and change any assumption along the way. Nothing is saved on our side.
751 real B2B SaaS LinkedIn ads organised by funnel stage, angle, and advertiser. A reference we use for our own campaigns.
Send a few lines about your stack and your pipeline target. On the call we'll tell you what we'd change first, whether we'd take the account, and who to call instead if we're not the right fit.