Blog Posts:
The Strategic Power of a Revenue Operations Roadmap
Are your RevOps initiatives driving long-term business outcomes or simply responding to the next urgent request? As RevOps teams take on increasingly strategic responsibilities, having a clear roadmap is becoming essential for improving GTM efficiency, prioritization, and cross-functional alignment.
Rather than viewing a roadmap as a simple project management tool, the article explores how it can become a strategic framework that aligns operational work with business goals. It explains how RevOps leaders can prioritize initiatives based on impact, communicate trade-offs with stakeholders, and create visibility across Sales, Marketing, Customer Success, and Finance. The discussion also highlights the importance of balancing short-term operational requests with long-term strategic investments, ensuring RevOps remains a driver of revenue performance instead of a reactive support function.
If you're looking to build a more strategic RevOps organization, read the full article to learn practical approaches for creating a roadmap that improves prioritization, strengthens cross-functional alignment, and keeps your revenue initiatives focused on measurable business outcomes here.
AI Adoption for Revenue Teams: Leading Without Change Fatigue
Buying AI tools is the easy part. Getting people, process, and governance aligned so the tools actually create value is where most revenue teams struggle. This piece captures candid insights from revenue leaders who are scaling AI in real time.
The article covers why process and people must come before technology, the real cost of deploying AI without structure, practical governance models that work, why adoption matters more than deployment, and where AI is already delivering measurable results, especially in underserved accounts and long-tail coverage.
To move from AI experimentation to durable operational impact, read the full article here.
Bad CRM Data Is Costing You More Than Bad Reps
You know which reps are underperforming. But the quiet revenue killer most leaders never audit is the quality of data inside the CRM. B2B contact data decays at ~30% per year, and reps log only 30–50% of their activity. The result is forecasts built on fiction, coaching based on incomplete information, and AI tools that produce confidently wrong recommendations.
This deep dive explains the two mechanisms of data decay, the six concrete ways bad data destroys revenue, what “clean enough” CRM data actually looks like, and a prioritized fix list starting with automated activity capture and regular hygiene.
To learn more about how to stop losing more revenue to data quality than to underperforming sellers, read the full guide here.
Podcast Episodes:
RevOps Is the Operating System
What does it actually take to build a high-performing revenue organization, and how does RevOps make it happen? In this grounded Episode 100 conversation, Andrew Cooper, VP of Revenue Operations at Yooz, shares hard-won lessons from building RevOps teams from scratch.
The discussion covers what operational excellence really means, why RevOps is uniquely positioned to drive high-performance culture (not just support it), a practical front-line champion playbook for change management, where AI accelerates RevOps work and where it creates new problems, and the unexpected door-to-door sales experiment that worked.
For RevOps leaders who want practical, field-tested perspective on building the function that runs the revenue engine, listen to the full episode here.
The Operating Discipline Behind HockeyStack's AI Motion with Emir Atli
By: GTM Science - A show for GTM and RevOps leaders
Emir Atli, co-founder and CRO at HockeyStack, scaled the company to over 300 enterprise customers, 4.5x revenue growth in a year, and a $50M funding round by rebuilding the outbound motion with AI from day one. This episode goes deep into the operating discipline required to make AI work at scale.
Rachael Bueckert and Emir discuss why SDRs were spending 80% of their time clicking between tools instead of selling, how they rebuilt the motion with AI handling everything that isn’t a human conversation, the experiment framework used to prove AI motions before rollout, why delegating AI experiments only to leadership is a critical mistake, and how making sales engineers full-cycle fixed expansion handoffs.
For leaders who want to move beyond AI pilots and build a disciplined, high-velocity outbound engine, listen to the full episode here.
The Future of Marketing: AI, Strategy & Human Connection | Dan Moyle
What happens when you stop chasing titles and start chasing meaningful work? Dan Moyle shares his journey from aspiring CMO to strategic consultant and the lessons he learned about career growth, leadership, marketing strategy, and the future of AI.
The conversation explores why chasing titles can distract from impactful work, how experience across industries shapes better strategic thinking, the evolving role of AI in marketing teams and agencies, using AI as a strategic partner rather than pure automation, and why community and human connection remain essential even as technology accelerates.
For marketing and RevOps leaders navigating the balance between AI capability and human judgment, listen to the full episode here.
Webinars:
Co-Lab: Fix the Data, Trust the AI: Reliable Attribution, Handoffs, and Outcomes
By: RevOps Co-op ft. Traction Complete
Marketing Ops teams are being asked to deliver AI outcomes on top of a broken funnel. Leads disconnected from contacts, accounts not linked downstream, and attribution that falls apart by the time a deal closes layer AI on top of that and you only scale the mess.
In this practical session, Recorded Future, Convertiv, and Traction Complete walk through a before-and-after of rebuilding the data layer. You’ll learn how to improve matching and conversion (leads to contacts, contacts to the right accounts), get more accurate attribution and velocity reporting, and activate smarter GTM plays with better targeting and timing.
To get better attribution, cleaner handoffs, and AI outcomes you can actually trust, join the session on August 6 here.
Build AI GTM You Can Trust
AI agents are only as good as the data feeding them. Most GTM teams are scaling AI on top of fragmented, ungoverned data and every layer of automation just gets them to the wrong answer faster. The gap between AI experimentation and AI at enterprise scale isn’t the tools; it’s the data foundation underneath them.
Join ZoomInfo’s GTM Operations leaders Mollie Bodensteiner, Drew Schoettler, and Jessica Buchwald to learn how to build an AI-native GTM strategy grounded in a clean, governed data foundation that makes scale possible and risk manageable. They’ll show how to move from guessing at scale to personalizing and forecasting with confidence.
To stop scaling broken data and start building AI GTM you can actually trust, join the session on August 12 here.
