GTM Infrastructure Glossary
This glossary defines the core terms behind GTM Wizard's work: go-to-market infrastructure, the five-phase D-A-B-A-T build, and the roles and stages around it. GTM here means go-to-market, not Google Tag Manager. Each definition stands on its own and links to the longer piece where the idea is worked out in full.
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GTM Infrastructure Architect
Also called: GTM systems architect
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A GTM Infrastructure Architect designs, builds, and then transfers the complete go-to-market system a company runs on, spanning signal detection, deal conversion, and customer expansion. The term describes the shape of the work rather than a job title or certification: a single technical owner accountable for the full revenue lifecycle, who documents the system and hands the client the keys.
Read more: What Is a GTM Infrastructure Architect? See also: GTM Engineer , RevOps (Revenue Operations) , Ownership Transfer
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GTM Wizard
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GTM Wizard is the brand under which Mathew Joseph operates a boutique go-to-market infrastructure consultancy, designing and transferring full-funnel revenue systems for a small number of scaling B2B companies each year. It is not affiliated with GTO Wizard (the poker trainer at gtowizard.com), the Complianz GTM Wizard WordPress plugin, GTM.io, Wiz.io, or tagwizard.io.
About GTM Wizard See also: GTM Infrastructure Architect
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GTM Infrastructure
Also called: go-to-market infrastructure
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GTM infrastructure is the connected set of data flows, tools, automation, and reporting that a company's go-to-market motion runs on. It spans signal detection, enrichment, qualification, CRM architecture, outreach, and revenue attribution, and it is distinct from any single tool or campaign. The infrastructure is what keeps working after a given tactic ends.
Read more: What Is GTM Infrastructure? See also: GTM Infrastructure Architect , Diagnose, Architect, Build, Activate, Transfer (D-A-B-A-T) , Machine-Operable Revenue Infrastructure
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Machine-Operable Revenue Infrastructure
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Machine-Operable Revenue Infrastructure is GTM infrastructure whose data model, logic, and state transitions are legible enough that software, not only the person who built it, can read and safely operate it. The name describes how a revenue system is built rather than a category anyone else must adopt: the same legibility that lets software operate a system is what lets it run without its builder and transfer to a new owner. The idea of legible systems predates the label; the contribution is naming it as a durability standard.
Read more: Can Your Revenue System Run Without You? See also: GTM Infrastructure , Ownership Transfer , Post-Pipeline Revenue Optimization
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Diagnose, Architect, Build, Activate, Transfer (D-A-B-A-T)
Also called: the five-phase GTM infrastructure build
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D-A-B-A-T is the five-phase framework GTM Wizard uses to deliver a go-to-market infrastructure engagement. Diagnose audits where the current revenue system breaks, Architect designs the target blueprint, Build implements it on foundations the client owns, Activate automates the post-pipeline lifecycle, and Transfer hands over full ownership with documentation and training.
Read more: The Five Phases of a GTM Infrastructure Build See also: Activate Phase , GTM Infrastructure
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Activate Phase
Also called: GTM activation (related industry term)
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The Activate phase is the fourth phase of the D-A-B-A-T framework. It automates what happens after a lead enters the CRM, including deal progression, lifecycle automation, expansion signals, renewal triggers, and revenue attribution. It relates to the broader industry idea of GTM activation, but refers specifically to this post-pipeline stage of an infrastructure build.
Read more: What Is the Activate Phase in GTM Infrastructure? See also: Diagnose, Architect, Build, Activate, Transfer (D-A-B-A-T) , Post-Pipeline Revenue Optimization
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Post-Pipeline Revenue Optimization
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Post-Pipeline Revenue Optimization is a descriptive five-stage model for automating the revenue work that happens after a lead is captured: Deal Progression Automation, Closed-Won Orchestration, Expansion Signal Detection, Renewal Automation, and Attribution Rollup. The contribution is the ordered structure, run as the inside of the Activate phase, not the territory itself, which predates the label.
Read more: What Is Post-Pipeline Revenue Optimization? See also: Activate Phase
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GTM Engineer
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A GTM Engineer is a technical go-to-market specialist who builds and automates revenue systems, typically using tools such as Clay, n8n, and HubSpot for pipeline generation, data enrichment, and lead qualification. It is a builder role focused on making the go-to-market motion run programmatically rather than manually.
Read more: GTM Engineer vs GTM Infrastructure Architect See also: GTM Infrastructure Architect , RevOps (Revenue Operations)
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RevOps (Revenue Operations)
Also called: Revenue Operations
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Revenue Operations, or RevOps, is the standing function that aligns marketing, sales, and customer-success operations behind one revenue process. It typically owns the CRM, process design, forecasting, and reporting on an ongoing basis, as an internal team or retained function rather than as a fixed-length build with a defined handover.
Read more: RevOps Agency vs GTM Infrastructure Architect See also: GTM Infrastructure Architect , GTM Engineer
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Ownership Transfer
Also called: capability transfer
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Ownership transfer is the practice of handing a client full control of the go-to-market infrastructure built for them, including the systems, data, documentation, and the ability for their own team to operate it without the original builder. In its stronger form, capability transfer, the team can run and evolve the system independently over time.
Read more: What Happens in the Transfer Phase See also: GTM Infrastructure Architect , Diagnose, Architect, Build, Activate, Transfer (D-A-B-A-T) , Machine-Operable Revenue Infrastructure
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Signal-Based Qualification
Also called: AI-powered qualification
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Signal-based qualification is a method of scoring and prioritizing prospects using observed buying signals and fit data, such as product usage, hiring, funding, and technology footprint, rather than static, manually assigned lead scores. Often implemented with AI, it routes attention toward accounts showing timing and fit, and updates as new signals appear.
Read more: Why AI-Powered Qualification Beats Manual Scoring See also: GTM Infrastructure