01
Diagnose and discover
I audit your existing GTM infrastructure end-to-end. Data flow mapping, tool stack assessment, signal gap analysis. Where are leads leaking? Where is data stuck?
Available standaloneI build revenue systems.
Most GTM engineers build you a pipeline. I build the full revenue system: from signal detection to deal conversion to customer expansion. Then hand you the keys.
95%
AI cost reduction
90→30
days ramp time
8 weeks
to first pipeline
What's actually broken in your GTM?
Your SDRs spend 67% of their time not selling. They're researching prospects, copy-pasting between tools, qualifying leads by hand. That's $17-23K per rep per year in wasted productivity. And most companies just accept it.
But here's the part that should worry you more: when your team does generate pipeline, you can't tell your board which channels actually produced it. Over 50% of your pipeline is dark. No attribution. No measurement. No way to improve it.
That's the gap. Nobody's looking at what happens after the lead enters your CRM. I call this Post-Capture Revenue Optimization. It's the infrastructure most GTM engineers never build. Full-funnel GTM covers the entire journey from signal detection through deal conversion to customer expansion. Unlike top-of-funnel GTM, it doesn't stop at lead generation.
Over 50% of your pipeline is dark. No attribution. No measurement. No way to improve it. That's the gap nobody's looking at.
67%
of SDR time spent on non-selling activities
50%+
of pipeline is dark, with zero attribution or optimisation
The Process
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How does your revenue system get built?
Five phases. Eight weeks. Every engagement moves through Diagnose, Architect, Build, Activate, and Transfer. You own everything at the end.
02
Architect and design
I design the complete GTM infrastructure: data flows, signal sources, qualification logic, lifecycle mapping. You approve the blueprint before anything gets built.
03
Build and integrate
This is where it gets real. Signal detection, enrichment, qualification, outreach automation, CRM integration, dashboards. All built on foundations you own.
04
Activate and launch
Where most GTM engineers stop, I keep going. Lifecycle automation, deal progression, sentiment analysis, retention monitoring, expansion triggers, revenue attribution.
The differentiator 05
Transfer and own
Full ownership transfer. Documentation, team handoff, maintenance playbooks. The system runs without me. You keep the keys.
What results can you expect?
Real numbers from a real engagement. Not projections. Post-Capture Revenue Optimization focuses on the 90% of the pipeline that happens after a lead fills out a form — the infrastructure most GTM teams never build.
Post-Capture Revenue Optimization focuses on the 90% of the pipeline that happens after a lead fills out a form: the nurture sequences, the scoring logic, the routing rules, the attribution tracking that most GTM engineers never touch.
Client Case Study AI Infrastructure Company
95%
reduction in GTM operational costs, from $10,500 to $467/mo through automation of signal-to-lead workflows
90 → 30 days
sales ramp time cut by two-thirds with structured onboarding infrastructure
8 weeks
from engagement start to first pipeline generation
What does working together look like?
Every engagement follows a disciplined five-phase methodology (Diagnose, Architect, Build, Activate, Transfer), refined through real-world engagements to ensure your system is built to spec, tested under load, and fully yours at handoff.
The five-phase methodology (Diagnose, Architect, Build, Activate, Transfer) ensures every GTM system is built to spec, tested under load, and fully owned by the client at handoff.
01
Discovery Call
30 minutes. I'll ask about your GTM challenges, current stack, and where you're trying to go. If infrastructure isn't what you need, I'll tell you.
02
Proposal + Architecture
You get a detailed blueprint: what gets built, how it connects, what you'll own at the end. No surprises.
03
Build + Transfer
I build the infrastructure, activate it with your team, and hand over everything. Documentation, playbooks, training. You keep the keys.
Is this the right fit?
I work with 4-5 clients a year. Here's how to know if we're a match.
Good fit
- + B2B company with $500K+ ARR
- + Dedicated sales or revenue leadership
- + Ready to invest in infrastructure, not quick fixes
- + Want to own the system, not rent it
- + Committed to 8-12 week engagement
Not a fit
- - Looking for a quick lead list
- - Want an agency on monthly retainer
- - No internal team to operate the system
- - Need results in under 4 weeks
- - Want a tool recommendation, not infrastructure
The person behind the system
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Mathew Joseph
GTM Infrastructure Architect
I've spent years building GTM infrastructure for B2B companies. The data pipelines, the automation workflows, the attribution systems that most consultancies won't touch. When I reduced an AI infrastructure startup's enrichment costs from $10,500 to $467/month, it wasn't because I found a better tool. It was because I rebuilt the infrastructure underneath.
I take on 4-5 clients per year. That's it. Every engagement gets my direct attention. No junior associates, no handoffs.
And everything I build sits on open-source foundations that you own. The whole system runs without me. That's the point.
Common questions about GTM infrastructure
GTM infrastructure is the technical foundation that powers your go-to-market motion. Data pipelines, automation workflows, CRM architecture, signal detection, revenue attribution. It's the system behind the system. Most companies have tools. They don't have infrastructure connecting them.
Most projects run 8-12 weeks from Diagnose to Transfer. The Diagnose phase runs 2-3 weeks as a standalone engagement if you're not sure what's broken yet.
Everything. The code, the infrastructure, the documentation, the maintenance playbooks. No dependencies, no ongoing contracts. Your team runs it independently from day one after Transfer.
Yes, and many clients do. It's a full audit of your existing GTM infrastructure with a prioritised roadmap. Think of it as a second opinion on your pipeline health.
A full-time GTM engineer costs $175-310K/year loaded and takes 5-10 months to hire and ramp. A RevOps consultant advises on process and strategy but doesn't build the systems. I deliver a complete, documented infrastructure in 8 weeks: the automation, the data flows, the AI layer, the integrations. Senior-level execution from day one. You get a working system, not a slide deck or a new headcount.
Your team runs the system independently. That's the goal. But if you want ongoing expert support as the system evolves, I offer a post-Transfer partnership. Lighter touch, advisory-level.
I design and build the technical systems that power your go-to-market motion. That means data pipelines for lead enrichment, automation workflows for outbound and inbound, CRM architecture that actually reflects your sales process, and AI integration for signal detection and scoring. Think of it as the engineering layer most revenue teams are missing.
I work across data enrichment platforms, workflow automation tools, CRM systems, and AI models. The specific stack depends on what you already have and what your GTM motion needs. I'm tool-agnostic by design. The architecture drives tool selection, not the other way around.
What should you know about GTM infrastructure?
Frameworks, teardowns, and lessons from building revenue systems.
Why your SDRs spend 67% of their time not selling
The research, the copy-pasting, the manual qualification. It adds up to $17-23K per rep per year in wasted productivity.
Read →The attribution blindspot costing you board credibility
When over 50% of your pipeline is dark, every budget conversation is a guess. Here's how to fix it.
Read →Build vs. buy: when to stop renting your GTM stack
API costs, vendor lock-in, and the hidden tax of tools that don't talk to each other.
Read →Ready to stop renting your GTM infrastructure?
30-minute discovery call. I'll be straight with you about whether your GTM needs infrastructure or something else entirely.