The revenue stack, architected.
Every GTM play, forecast, and report runs on a system someone had to design: the object model, the CPQ rules, the integrations between CRM and warehouse, the governance that keeps it all trustworthy. Most revenue stacks are accreted, not architected, which is why they break under their own weight. This is where I write down how to build the stack on purpose, so it holds when the org scales.
Architected beats accreted
Data quality (clean records)
Design the model once, govern it, and reconcile on a schedule: data quality holds at 97%.
Everything GTM Systems, in one place
Guides
How the revenue stack actually gets architected: the object model, CPQ, automation order-of-operations, integrations, and the migrations that do not lose data.
Browse guides →Metrics
The numbers I watch to know a stack is healthy: data quality, automation load, integration lag, adoption, and technical debt.
See the metrics →Tools
The platforms that make up a modern revenue stack, and the ones a clean architecture lets you retire.
View the stack →Articles
Field notes from stacks I have architected and untangled, including the schema decisions I would make differently now.
Read the field notes →Glossary
The vocabulary of the discipline, defined plainly, from ARR to zombie deals.
Open the glossary →Resources
The books, newsletters, communities, and frameworks worth your time.
See resources →By the numbers
Object model, designed once
Duplicate rate a clean stack holds
Automation on declarative, not code
Sources: Ebsta and Pavilion (2025), Aleph and Benchmarkit (2026), Clari, ZoomInfo, and Gartner. Full sourcing lives in the linked guides and articles.
From the field
All articles →We Had 282 Automations and Nobody Could Say What Half of Them Did
Five years of "just add one more flow" left an org where a single lead save fired eleven automations and changing anything was russian roulette. Here is how to audit an accreted stack, find the dead weight, and consolidate it without breaking production.
Read →Someone Wrote 200 Lines of Apex to Copy One Field, and It Failed a Deploy Two Years Later
The declarative-first rule is not dogma; it is a bet on who can maintain the thing after you leave. Here is the rule, the specific cases that genuinely need Apex, and the honest line between them.
Read →The Integration Dropped 1,400 Records and We Found Out Ninety Days Later
A sync silently failed on a subset of records and nobody noticed until the quarter did not add up. The fix is reconciliation built into every integration so a dropped record surfaces the same day, not next quarter. Here is the pattern and the queries.
Read →The GTM Academy Network
GTM systems is the architecture layer beneath the revenue org: the CRM, the data model, the integrations. The engineering hub builds plays on top of it; the operations hub runs the number through it.
One email. Every week.
One email a week: a systems problem I architected or untangled, with the schema, the config, and what I would change. No roundups, no theory, unsubscribe whenever it stops being useful.
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Connect a provider in src/config.ts