GTM Resources
For Revenue Operators, Investors, GTM Leaders & anyone willing to read this nonsense
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The 3 Types of Enablement Every Team Needs to Succeed
Most enablement programs fall short because they focus on only one layer. This blog breaks down the three types of enablement that actually drive GTM performance — and how each team should apply them.
Why Your Deal Fell Apart (and What the Funnel Data Tells Us)
Most deals don't fall apart by accident. This blog breaks down five common reasons deals stall, ghost, or slip late-stage — and how your funnel data can help you prevent it next time.
How to Translate Strategic Goals into GTM Enablement Projects
Setting strategy is easy. Executing it is not. This blog explains how to use the “What Must Be True” framework to translate high-level GTM goals into practical enablement projects teams can actually deliver.
Avoiding the Second “Oh Shit” Meeting: How to Align Strategy and Execution Early
The worst time to realize your go-to-market plan is off track is mid-year. Avoid the dreaded “second oh shit meeting” by aligning top-down goals with bottom-up reality early. This blog breaks down how to use assumption tracking, proactive planning, and accountability frameworks to stay ahead of GTM surprises.
RevOps Masterclass: From Dashboards to Decisions
Learn how to build practical B2B attribution models that reflect real buying journeys. This webinar covers attribution frameworks, data hygiene, model selection, and how to operationalize insights to drive smarter marketing and sales decisions.
Automation and AI in Enablement: When to Automate, When to Human-Touch
AI and automation belong in enablement, but only in the right places. This article breaks down what to automate, where human coaching matters most, and how to avoid confusing efficiency with effectiveness.
From Manual Reporting to Real-Time Intelligence: Transitioning Your Ops Org
Manual reporting turns ops teams into reporting factories. This article breaks down how to move to real-time intelligence and why it is critical for scaling modern organizations.
What Happens When Your Attribution Breaks? Signs, Root Causes, and Fixes
RevOps attribution doesn’t fail because of the model, it fails because the system underneath breaks. Learn how to diagnose attribution issues and fix them at the source.
Investors’ Guide to Evaluating RevOps Maturity in Startups
RevOps maturity is a leading indicator of whether a startup can scale with discipline. This investor-focused guide outlines the key signals that reveal if a company is built to turn capital into predictable growth.
Scaling RevOps: From 1-Person Ops to Embedded Ops Team: What Changes and What Stays
As companies grow, a one-person RevOps model breaks. This guide explains how RevOps scales into an embedded team, what fundamentally changes, and the core principles that remain critical at every stage.
Data Governance for RevOps: Ensuring Clean, Actionable Data Across Sales, Marketing and CS
Most GTM teams struggle with messy, unreliable data. This guide breaks down how RevOps can implement true data governance—shared definitions, CRM-driven guardrails, and an ongoing hygiene cadence—to create actionable insights across Sales, Marketing, and CS.
Deploying Agentic AI in Sales and Marketing: Use Cases for RevOps
Agentic AI is redefining how RevOps teams operate. This guide breaks down the most impactful use cases—automated funnel diagnostics, intelligent routing, dynamic capacity models, and outbound optimization—helping sales and marketing teams move faster with greater consistency.
Turning Enablement into a Revenue Lever: What That Looks Like in Practice
Modern enablement isn’t about onboarding decks—it’s a strategic revenue driver. This guide breaks down how proactive, data-informed enablement aligns teams, improves execution, and turns GTM strategy into measurable results across the funnel.
Leveraging AI to Predict Funnel Bottlenecks: A Practical Guide
AI is transforming funnel diagnosis from reactive troubleshooting to proactive prevention. This guide breaks down how RevOps teams can use predictive modeling, anomaly detection, and clean stage definitions to spot bottlenecks early and keep revenue flowing.
RevOps Masterclass: Capacity Planning in an AI World
Learn how to master capacity planning in the age of AI with RevOps leader Jeff Ignacio. This session explores how to align top-down board goals with bottom-up performance data, identify key dependencies, and leverage AI to boost GTM efficiency and revenue predictability. Discover practical ways to plan smarter, track progress, and accelerate your FY’26 success.
How to know which tool is right for your RevOps team
Tool sprawl drains efficiency and clouds data across RevOps teams. This guide outlines a 5-step framework—from defining the problem to building a governance model—to help you evaluate vendors intentionally, simplify your tech stack, and turn tools into a strategic advantage.
What Great RevOps Looks Like at Series B vs Series C vs Growth Stage
Revenue Operations isn’t a one-size-fits-all function — it matures alongside your business. This guide breaks down what “great RevOps” looks like at Series B, Series C, and Growth Stage, revealing how alignment, orchestration, and strategic insight drive scalable revenue performance.
How to Implement a Scalable RevOps Framework in 90 Days
Most RevOps projects fail because they take too long or lack structure. This 90-day playbook shows how to plan, automate, and measure a scalable RevOps system using AI and clear go-to-market sequencing.
AI-Driven Outbound: Integrating Machine Learning into Your RevOps Process
Outbound sales is evolving fast. Learn how RevOps teams can embed AI and machine learning into planning, sequencing, and data operations to improve prioritization, personalization, and pipeline efficiency.
RevOps Masterclass: Outbound in the Age of AI: Rethinking Pipeline Generation
AI is transforming outbound sales — from data enrichment to personalized outreach. In this RevOps Masterclass, learn how top operators are rethinking pipeline generation for 2025, balancing human connection with AI efficiency.