GTM Engineering
Decision frameworks for building a GTM stack: how to vet a tool, how to choose a CRM at seed, what to measure, and the failure modes that define the category.
How to use these: read How to vet a GTM tool in 30 minutes first — it’s the screening framework the rest assume. Choosing a CRM at seed is the one irreversible decision on the list; What to measure in a stack audit is the quarterly ritual; Why most AI SDRs fail is the pattern library for the category’s biggest line item.
Two 2026 addenda from this year’s market: underwrite every signals vendor for a change of control — three category leaders were acquired in four months — and build against SDKs and open protocols, not vendor GUIs (OpenAI’s Agent Builder went launch-to-deprecated in seven months). Ready to apply them? The Stack Finder turns these frameworks into a recommendation in 90 seconds.
HubSpot owns Warmly now. The replacement decision tree by use case — wait for native HubSpot intent, RB2B for person-level identification, Unify for the…
Jul 7, 2026 Best practiceAn honest assessment of why most AI SDR deployments fail to deliver on their pipeline promises — and what the deployments that actually work…
Apr 30, 2026 Best practiceA practical framework for auditing your GTM technology stack using eight metrics that surface cost waste, integration failures, and tools your team has stopped…
Apr 30, 2026 Best practiceA decision framework for seed-stage founders choosing their first CRM — before the choice locks in your data model, your team's habits, and your…
Apr 30, 2026 Best practiceA structured 30-minute framework for evaluating a GTM tool before committing time to a full trial or sales process. Five phases: five minutes on…
Apr 30, 2026