GTM Stack Architecture
The connected system design behind scalable revenue — MAP to CRM to analytics, audited, redesigned, and documented in a 90-day sprint.
Most B2B SaaS companies don't have a GTM stack problem because they bought the wrong tools. They have one because nobody designed how the tools would talk to each other before turning them on. HubSpot gets bolted onto Salesforce. A CDP gets added to fix attribution, and now there are three different definitions of a qualified lead living in three different systems — and nobody agrees which one is right.
GTM Stack Architecture is the fix: a full audit of your marketing automation platform, CRM, and analytics layer, followed by a connected system design where every lead, deal, and conversion event flows cleanly between platforms — and every dollar of pipeline is attributable back to the campaign, channel, or rep that touched it.
This is where most Opsmarshal engagements start. You can't optimize what you can't measure, and you can't measure what isn't connected. It's also the layer everything else — marketing operations, revenue operations, AI agentic workflows — gets built on top of. Skip it, and every later system inherits the same broken data.
What's included
The MAP doesn't sync cleanly to the CRM. Attribution is guesswork. Sales and marketing are reporting different numbers to the same leadership team, and nobody trusts the data enough to make a fast decision on it. If any of that sounds familiar, the problem usually isn't a missing tool — it's a missing architecture.
We run this as a fixed-scope, 90-day sprint: Diagnose (a written ops assessment with prioritized findings), Architect (the target-state data model, integration map, and reporting layer, documented and aligned with your team), and Deploy (built, tested, and live — with clean documentation so your team can run it without us). No 6-month discovery phases, no committee-driven delays.
FAQ
A senior RevOps hire runs $140–180K plus 3–6 months of ramp — and one person rarely covers MAP administration, CRM architecture, attribution, and AI automation. We bring all four from day one, on a 90-day sprint. Many clients use us to build the machine, then hire one person to run it.
That's the best time. Cleaning up mid-flight is dramatically cheaper than re-platforming a year of bad data later. Stalled migrations and messy CRMs are the most common starting state we see — the Diagnose phase exists exactly for this.
The 90-day sprint starts at $15,000, fixed-scope and fixed-fee. You get a concrete number after the diagnostic call, not a vague range.