You don't leave with a roadmap. You leave with a working system.
Weak ICP definition, unreliable data, generic sequences that sound like every other email in the inbox. No feedback loop from what's working and what isn't.
Running sales and GTM strategy in 2026 without AI and modern tooling is not scalable. It keeps you behind competitors who do, and it's simply not how this gets done anymore. The gap is widening.
Fractional CMOs bring strategy and deliver documents. GTM engineers build what you tell them to and no more. Nobody owns the middle: strategic thinking combined with AI-native execution and a working system handed over clean.
One scoped engagement. You walk away with everything configured, running, and owned by your team.
Starts with a full stack audit and gap analysis. The engagement is scoped to what you actually need. A full build typically includes:
A focused engagement, scoped to your needs. Up to six weeks. No ongoing dependency. You own everything at the end.
Six stages from ICP to CRM. Each can be implemented independently. Most early-stage teams need all of them, in the right order.
I built The GTM Lab because I kept seeing the same problem. Founders with a product that was genuinely working, but no repeatable system to turn that into a pipeline. They had tried fractional CMOs who delivered documents. They had tried GTM engineers who built exactly what they were told. Neither solved the problem.
What I bring is the combination: operator-level judgment on what needs to be built, and the technical depth to build it. I have spent the past decade working across sales, growth, and GTM at B2B companies. I understand the full cycle from ICP to closed-won. I have run outbound for companies at seed and Series A, and I have seen what a working system looks like versus what a plan for one looks like.
The GTM Lab is not a consultancy in the traditional sense. Every engagement ends with a working system in your hands, not a dependency on mine.
Three reasons. First, the person you actually need is rare, expensive, and takes 3 to 4 months to find. Second, pulling your existing team onto this project means they stop doing everything else. Third, at seed and Series A, a full-time hire is often premature. You need the system first. The GTM Lab delivers that in a fixed-price project and hands it over ready to run.
Fractional CMOs bring strategy and deliver documents. The GTM Lab delivers a working system, configured, launched, and handed over. Strategy is part of the work, not the output.
GTM engineers build what you tell them to build. The GTM Lab brings the strategic judgment to define what needs to be built in the first place, then builds it.
Seed to Series A B2B companies. The sweet spot: a product that's selling, early traction, but no repeatable go-to-market motion, and board or investor pressure to build pipeline.
AI is embedded throughout: ICP analysis, account scoring, data enrichment, personalization at scale, and workflow automation. What used to take a team of four and three months now takes one person and five weeks.
Up to six weeks depending on scope. Discovery and ICP mapping first, then stack selection, then build. By week four you have live outbound. The final week is handover, documentation, and training. You have working sequences and a functioning CRM before the project closes.
It depends on your stage, ICP, and motion. Common tools include Clay, Apollo, Claude, and many others. Every stack is chosen for the specific situation, not templated.
Yes. Outbound GTM is geography-agnostic in most cases. EU and UK companies are welcome. European data providers and compliance considerations are part of the stack.
Fixed price, scoped per engagement. The conversation starts with understanding your situation: stage, ICP, current stack, and what needs to be built. Pricing follows from scope. Book a call to discuss.
If the situation sounds familiar: post-funding, pipeline pressure, no repeatable system. Let's have a conversation. No pitch, no commitment. Just an honest look at your situation and whether this makes sense.