Founded
2019
LinkedIn for demand generation, Google for demand capture, and pipeline attribution wired through your CRM. Run by senior operators. No account managers. No MQL theatre.
Full-funnel LinkedIn built to create demand: category awareness, ICP salience, point-of-view content. Reported against pipeline, not form fills.
Google catches demand you already created. High-intent category keywords, branded defense, competitor, and "vs" queries. Not broad informational terms AI now answers for free.
The two capabilities every retainer needs, whether you run one channel or both. GTM and CRM sync on one side; ad iteration at speed on the other.
The person on your discovery call is the person in your ads manager. No handoff to a junior team after signing.
Senior consultants win the deal, then hand the account to a 22-year-old fresh out of bootcamp.
You see the timesheet at month-end. If we work less, you pay less. No retainer padding we can't explain.
You pay the same whether we built three campaigns or sent three status emails.
Closed-won, pipeline created, SQL velocity. MQLs are a vanity metric and you know it.
Metrics that make the dashboard look green while your sales team gets nothing usable.
Reporting, creative analysis, data pulls, keyword research, the parts of the job that shouldn't take a human, don't. One senior brain architects the automation and owns the decisions. That's why the €10k retainer does what a €25k agency retainer used to.
True in 2019. In 2026 it's an argument for billable hours, not better outcomes. Two of the three people on that team are doing work automation does faster.
We built an AI ecosystem around the way we think about paid media, not a stack of disconnected tools. One corpus of client intelligence feeds every platform, every deliverable, every decision.
Click a channel to see which parts of the system kick in.
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.
Campaign architecture rebuilt from scratch. Ad briefings and copy shipped from our library of 1,400+ saved winners. Lifecycle stages, UTMs, and offline conversion import wired into your CRM.
New campaigns live. We read SQL velocity, not CPL. A weekly written note on what we're learning, not a status report.
We double down on what's generating pipeline, kill what isn't, and tune attribution until your CEO stops asking "where is this coming from?"
“Most B2B ad accounts don't have a targeting problem. They have an attribution problem dressed up as one. Fix the pipeline story first, and the rest becomes a lot cheaper.”
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 how your account is structured. Score + the three highest-leverage fixes.
Model the funnel from budget to pipeline to closed-won. Adjust every assumption. Nothing saved server-side.
Curated LinkedIn and Google ads with annotations on why each works. Filter by platform, stage, or craft.
Send us rough context on your stack and pipeline target. On the call we'll tell you the top things we'd change, whether we'd take the project, and who to talk to if we're not the right answer.