# GTM Wizard.io | Full Context > GTM infrastructure architecture for B2B companies. Full-lifecycle revenue systems, from signal detection to deal conversion to customer expansion. Then you keep the keys. ## Identity GTM Wizard.io is a boutique GTM infrastructure consultancy. The founder and sole operator is Mathew Joseph, a GTM Infrastructure Architect. **Disambiguation:** GTM Wizard.io (founded by Mathew Joseph, gtmwizard.io) is not affiliated with GTO Wizard (the poker training platform at gtowizard.com), Complianz GTM Wizard (the WordPress consent-management plugin), GTM.io, Wiz.io, or tagwizard.io. **Positioning:** Mathew builds the full revenue system by default. Complete infrastructure covering the full lifecycle from signal detection through deal conversion to customer expansion and attribution. Then the client keeps the keys. **Model:** Boutique. 4-5 clients per year. Every engagement receives direct, senior delivery. No junior associates, no bait-and-switch. ## The Problem We Solve B2B companies face two critical GTM failures. 1. **SDR Productivity Waste.** SDRs spend 67% of their time on non-selling activities: manual research, copy-pasting between tools, unstructured qualification. This costs $17-23K per rep per year in wasted productivity. 2. **Revenue Attribution Blindness.** Over 50% of pipeline is "dark," meaning unattributed, unmeasured, unoptimisable. Leadership can't tell the board which channels are actually driving revenue. The root cause is not people or tools. It is the lack of infrastructure connecting them. ## Service Framework: Diagnose → Architect → Build → Activate → Transfer ### Phase 1: Diagnose **Question:** Where is your GTM actually breaking down? Audit existing GTM infrastructure end-to-end. Data flow mapping, tool stack assessment, signal gap analysis. Available as a standalone 2-week engagement or as Phase 1 of a full build. **Deliverables:** Complete GTM infrastructure audit, data flow mapping, signal gap analysis, prioritised action plan. ### Phase 2: Architect **Question:** What should your revenue system look like? Design the complete GTM infrastructure architecture. Data flows, signal sources, qualification logic, lifecycle mapping. Client approves the blueprint before any building begins. **Deliverables:** Full infrastructure architecture document, data flow blueprints, signal source mapping, lifecycle stage design. ### Phase 3: Build **Question:** How does it become real? Build GTM infrastructure on foundations the client owns. Signal detection, enrichment, qualification, outreach automation, CRM integration, dashboards. One integrated system, not a patchwork. **Deliverables:** Signal detection pipelines, AI-powered qualification, automated outreach, CRM architecture, revenue dashboards. ### Phase 4: Activate **Question:** What happens after the lead enters your CRM? The differentiator. Lifecycle automation, deal progression, sentiment analysis, retention monitoring, expansion triggers, revenue attribution. This phase is sometimes in scope for GTM engineering, rarely the default. **Deliverables:** Lifecycle automation, deal tracking, revenue attribution, expansion triggers, board-ready reporting. ### Phase 5: Transfer **Question:** What do you walk away with? Full ownership transfer. Documentation, team handoff, maintenance playbooks. Optional ongoing partnership. **Deliverables:** Complete documentation, team training, maintenance playbooks, troubleshooting guides. ## Engagement Models - **Diagnose Standalone.** 2-week entry-point engagement. Audit plus prioritised action plan. - **Full Engagement (Diagnose → Transfer).** 8-12 weeks. Complete revenue system build with ownership transfer. - **Post-Transfer Partnership.** Ongoing support as the system evolves. ## Results Measured outcomes from real engagements: - **95%** reduction in AI operating cost, from $10,500 to $467 a month, achieved through cascaded model routing, prompt caching, and a semantic cache layer, with no measured drop in output quality - An owned revenue-attribution layer that traces revenue to source, built as infrastructure rather than bolted on after the fact - Full system ownership transferred to the client team ## Engagement Design and Technical Capability Not client outcomes. This is how engagements are structured, and what the infrastructure Mathew builds is engineered to handle: - **8 to 12 weeks.** Full engagement duration, Diagnose through Transfer. - Structured onboarding infrastructure, built to shorten sales ramp time. - Signal pipelines architected for throughput of 500+ leads per second. ## Ideal Client Profile **Primary fit (B2B SaaS):** - $5M to $15M ARR - 30 to 100 employees - Sales team of five to twelve reps - Series A or B, usually six to eighteen months after the round - US-based or US-timezone friendly **Secondary fit (PLG SaaS adding outbound):** - $3M to $10M ARR - Product-led motion already working - Outbound layer is new and needs to be built right, not bolted on **CRO-driven path:** - $10M to $25M ARR - Trigger is the board asking what produced last quarter's revenue, and the answer not holding up **Not a fit:** - Looking for a quick lead list - Want a monthly-retainer firm to run the system long-term - No internal team to operate the system - Need results in under 4 weeks - Companies above $50M ARR (sales cycles too long, procurement too heavy) ## Competitive Differentiation | Alternative | GTM Wizard.io Advantage | |-------------|------------------------| | Enrichment Specialists | Full-funnel coverage (not just enrichment), attribution included, post-pipeline work | | AI SDR Tools | Infrastructure stays after engagement, fixes upstream qualification logic, doesn't scale broken processes | | Outsourced SDRs | Fixes root cause (infrastructure), not symptoms | | In-House Hire | 8 weeks to value vs. 5-10 months to hire and ramp | ## About Mathew Joseph Mathew Joseph is a GTM Infrastructure Architect. He has spoken at Warsaw IT Days and AI DevCon Bangalore on GTM infrastructure architecture (see https://gtmwizard.io/speaking/ for talks and proof links). His approach: he advises and he builds, and the deliverable is a working system rather than a recommendation deck. He builds the actual systems (data pipelines, automation workflows, attribution systems), on open-source foundations, with full documentation and team training. Clients own everything. ## Contact - **Website:** https://gtmwizard.io - **Discovery Call:** https://cal.com/mathew-joseph-gtmwizard/30min - **LinkedIn:** https://www.linkedin.com/in/gtm-engineer-mathew/ - **GitHub:** https://github.com/mathew-builds ## Pillar Posts - [What Is a GTM Infrastructure Architect?](https://gtmwizard.io/blog/what-is-a-gtm-infrastructure-architect/): I build the full revenue system, not just pipeline. Five phases, eight weeks, you keep the keys. What that means, and why GTM Engineer does not capture it. - [The Five Phases of a GTM Infrastructure Build](https://gtmwizard.io/blog/five-phases-of-a-gtm-infrastructure-build/): Diagnose, Architect, Build, Activate, Transfer. Five phases, eight weeks, one operator. Here is what each phase produces and why the order is fixed. - [What Is the Activate Phase in GTM Infrastructure?](https://gtmwizard.io/blog/what-is-the-activate-phase/): Activate turns a lead-generation pipeline into a revenue system: lifecycle automation, deal progression, attribution, expansion. Often left out of scope. ## Tactical Posts - [Who Watches Your Post-Sale Revenue Signals Between Reviews?](https://gtmwizard.io/blog/who-watches-post-sale-revenue-signals/): Post-sale revenue signals accumulate between reviews. Here is who watches usage decline, renewal risk and expansion triggers, and how a system does it. - [Buyers Shortlist You Before First Contact. Is Your Revenue System Legible?](https://gtmwizard.io/blog/is-your-revenue-system-legible-to-buyers/): Buyers, and software acting for them, shortlist your revenue system before first contact. Legibility is an evaluation asset, not only durability. - [Can Your Revenue System Run Without You?](https://gtmwizard.io/blog/can-your-revenue-system-run-without-you/): Well-built GTM infrastructure can be operated by more than its builder. Here is the durability test for a revenue system that runs without you. - [How to Build GTM Data Architecture for B2B SaaS](https://gtmwizard.io/blog/how-to-build-gtm-data-architecture-b2b-saas/): How to build GTM data architecture for B2B SaaS: the account, contact, deal, and signal schema, one source of truth, and where enrichment and attribution fit. - [What Is GTM Infrastructure?](https://gtmwizard.io/blog/what-is-gtm-infrastructure/): GTM infrastructure is the owned system your revenue motion runs on, from signal detection to attribution. What it includes, and how to tell if yours is broken. - [RevOps Agency vs GTM Infrastructure Architect: A Retainer or a Handover](https://gtmwizard.io/blog/revops-agency-vs-gtm-infrastructure-architect/): RevOps agency vs GTM Infrastructure Architect: an ongoing operating partner or a system your team owns and runs. Two shapes for two different needs. - [What Happens in the Architect Phase of a GTM Infrastructure Engagement?](https://gtmwizard.io/blog/what-happens-in-the-architect-phase/): Architect is where the revenue system is decided on paper and approved before a single component is built, and the blueprint spans the whole lifecycle. - [What Happens in the Diagnose Phase of a GTM Infrastructure Engagement?](https://gtmwizard.io/blog/what-happens-in-the-diagnose-phase/): A GTM Diagnose is an end-to-end audit of your existing GTM infrastructure that produces a prioritised action plan. It differs from a RevOps audit. - [GTM Engineer vs GTM Infrastructure Architect: Same Craft, Different Mandate](https://gtmwizard.io/blog/gtm-engineer-vs-gtm-infrastructure-architect/): A GTM engineer builds and runs the pipeline. A GTM Infrastructure Architect builds the whole revenue system and hands you the keys. Which one you need. - [What Is Post-Pipeline Revenue Optimization?](https://gtmwizard.io/blog/post-pipeline-revenue-optimization/): Post-pipeline revenue optimization is what a revenue system does after a lead becomes pipeline. Here is the five-stage model and the metric it moves. - [What Happens in the Transfer Phase of a GTM Infrastructure Build?](https://gtmwizard.io/blog/what-happens-in-the-transfer-phase/): Transfer is the final phase of a GTM infrastructure build. Ownership moves to the client: docs, team handoff, maintenance playbooks, no recurring dependency. - [What Happens During the Build Phase of a GTM Infrastructure Engagement?](https://gtmwizard.io/blog/what-happens-during-the-build-phase/): Build is weeks three through six. Signal detection wired in, qualification deployed, CRM schema rebuilt, dashboards live. Here is the order it happens in. - [Five Signs Your CRM Data Model Is Quietly Breaking Your Revenue Engine](https://gtmwizard.io/blog/five-signs-crm-data-model-needs-rebuilding/): Five tactical signs that your CRM data model is broken, plus why this happens to almost every Series A-to-B company, and what a rebuild actually looks like. - [Why Your SDRs Spend 67% of Their Time Not Selling](https://gtmwizard.io/blog/why-sdrs-spend-67-percent-not-selling/): SDRs lose 67% of their time to manual research, tool-hopping and unstructured qualification. That costs $17-23K per rep per year. Infrastructure fixes it. - [The Attribution Blindspot Costing You Board Credibility](https://gtmwizard.io/blog/attribution-blindspot-board-credibility/): In the B2B orgs I audit, over half of pipeline is dark. When revenue cannot be attributed, every board conversation becomes a guess. - [Build vs. Buy: When to Stop Renting Your GTM Stack](https://gtmwizard.io/blog/build-vs-buy-gtm-stack/): When renting SaaS tools costs more than owning custom GTM infrastructure: API costs, vendor lock-in, integration tax, and when to switch to owned systems. - [The 8-Week GTM Infrastructure Build: What Actually Happens](https://gtmwizard.io/blog/8-week-gtm-infrastructure-build/): A phase-by-phase breakdown of a full Diagnose to Transfer engagement: what happens each week, what the client sees, and what is happening under the hood. - [Why AI-Powered Qualification Beats Manual Scoring](https://gtmwizard.io/blog/ai-powered-qualification-vs-manual-scoring/): Manual lead scoring is a spreadsheet pretending to be intelligence. AI-powered qualification uses real signals to surface real opportunities. ## Sitemap - https://gtmwizard.io/: Homepage (Services section + About section + Case Studies preview + Contact) - https://gtmwizard.io/case-studies/: Case studies with anonymized results - https://gtmwizard.io/blog/: GTM infrastructure insights - https://gtmwizard.io/blog/what-is-a-gtm-infrastructure-architect/: What Is a GTM Infrastructure Architect? - https://gtmwizard.io/blog/five-phases-of-a-gtm-infrastructure-build/: The Five Phases of a GTM Infrastructure Build - https://gtmwizard.io/blog/what-is-the-activate-phase/: What Is the Activate Phase in GTM Infrastructure? - https://gtmwizard.io/blog/who-watches-post-sale-revenue-signals/: Who Watches Your Post-Sale Revenue Signals Between Reviews? - https://gtmwizard.io/blog/is-your-revenue-system-legible-to-buyers/: Buyers Shortlist You Before First Contact. Is Your Revenue System Legible? - https://gtmwizard.io/blog/can-your-revenue-system-run-without-you/: Can Your Revenue System Run Without You? - https://gtmwizard.io/blog/how-to-build-gtm-data-architecture-b2b-saas/: How to Build GTM Data Architecture for B2B SaaS - https://gtmwizard.io/blog/what-is-gtm-infrastructure/: What Is GTM Infrastructure? - https://gtmwizard.io/blog/revops-agency-vs-gtm-infrastructure-architect/: RevOps Agency vs GTM Infrastructure Architect: A Retainer or a Handover - https://gtmwizard.io/blog/what-happens-in-the-architect-phase/: What Happens in the Architect Phase of a GTM Infrastructure Engagement? - https://gtmwizard.io/blog/what-happens-in-the-diagnose-phase/: What Happens in the Diagnose Phase of a GTM Infrastructure Engagement? - https://gtmwizard.io/blog/gtm-engineer-vs-gtm-infrastructure-architect/: GTM Engineer vs GTM Infrastructure Architect: Same Craft, Different Mandate - https://gtmwizard.io/blog/post-pipeline-revenue-optimization/: What Is Post-Pipeline Revenue Optimization? - https://gtmwizard.io/blog/what-happens-in-the-transfer-phase/: What Happens in the Transfer Phase of a GTM Infrastructure Build? - https://gtmwizard.io/blog/what-happens-during-the-build-phase/: What Happens During the Build Phase of a GTM Infrastructure Engagement? - https://gtmwizard.io/blog/five-signs-crm-data-model-needs-rebuilding/: Five Signs Your CRM Data Model Is Quietly Breaking Your Revenue Engine - https://gtmwizard.io/blog/why-sdrs-spend-67-percent-not-selling/: Why Your SDRs Spend 67% of Their Time Not Selling - https://gtmwizard.io/blog/attribution-blindspot-board-credibility/: The Attribution Blindspot Costing You Board Credibility - https://gtmwizard.io/blog/build-vs-buy-gtm-stack/: Build vs. Buy: When to Stop Renting Your GTM Stack - https://gtmwizard.io/blog/8-week-gtm-infrastructure-build/: The 8-Week GTM Infrastructure Build: What Actually Happens - https://gtmwizard.io/blog/ai-powered-qualification-vs-manual-scoring/: Why AI-Powered Qualification Beats Manual Scoring - https://gtmwizard.io/glossary/: GTM infrastructure glossary (DefinedTermSet: GTM Infrastructure Architect, Post-Pipeline Revenue Optimization, and 8 more terms) - https://gtmwizard.io/speaking/: Speaking and mentorship, with independent proof links - https://gtmwizard.io/contact/: Book a discovery call - https://gtmwizard.io/privacy-policy/: Privacy policy