How Do I Prove Marketing’s Revenue Impact When All My Data is Imperfect? [Blog]
What happens when your revenue data isn’t perfect, but you still need to demonstrate marketing’s impact? This article provides a practical framework for proving marketing’s contribution to revenue even when data completeness and quality are challenges most RevOps teams face.
The piece highlights:
Readers will find strategies to make better decisions and tell a stronger data story without waiting for flawless systems. Read the full article here
What if your contact center solution could be simpler, more integrated or better aligned with your go-to-market systems? This article reviews Amazon Connect and its alternatives to help teams identify platforms that fit their current needs and future growth plans.
The review covers:
Readers will get a clear comparison to help guide decisions when evaluating contact center tools in a complex technology stack. Explore the alternatives here.
What’s involved in moving from one major marketing automation platform to another? This guide outlines the full migration process from Marketo to HubSpot, with practical checkpoints to make the transition smoother for RevOps, marketing and ops teams.
The guide walks through:
Readers gain a clear picture of what to expect and how to avoid common migration pitfalls. Read the step-by-step guide here
VC 2: How Cassie Young Picks Winners Before They Even Leave Their Jobs [Podcast]
What if early signals could predict which startups will succeed? In this conversation, Cassie Young shares how she identifies promising companies and founders before they hit mass recognition, blending pattern recognition with real-world investment experience.
The discussion explores:
Listeners gain insights into decision-making approaches that can apply beyond venture capital, including how RevOps and GTM teams might spot trends before they scale.
Listen to the full episode here.
How can marketing leaders build trust and credibility with their board of directors? This episode offers practical advice for CMOs on communicating strategy, metrics and risk in a way that resonates with board expectations, especially during periods of growth or transformation.
The conversation touches on:
Listeners come away with a better sense of how marketing and RevOps can align with executive leadership to drive business outcomes. Explore the full discussion here.
What can RevOps teams learn from a year of experimentation, metrics and community interaction? This episode recaps key takeaways from 2025, emphasizing what growth signals mattered most, where teams found traction, and how community insights shaped best practices.
The episode highlights:
Listeners gain a practical snapshot of trends, benchmarks and tactical lessons to carry into upcoming quarters. Listen to the recap here.
AI + Account Data: the Use Cases Ops Can’t Ignore [Webinar]
By: RevOps Co-op ft. Traction Complete
What does it look like when AI moves from experimentation into real operational value? This webinar explores practical use cases where AI enhances account strategies and data operations, helping revenue teams extract insight and drive performance.
The session examines:
Attendees walk away with concrete examples of how AI is being applied today inside RevOps teams. Register here to save your spot.
What will operating models look like as revenue teams move toward 2026? This webinar focuses on how RevOps leaders can adapt to evolving buyer behavior, AI adoption and growing operational complexity while maintaining execution clarity.
The discussion centers on:
Viewers gain a forward-looking perspective on how to prepare their organizations for what’s coming next. Save your spot and register here.
Execution Lessons for Modern RevOps Teams
This week’s curated content centers on practical execution. From working with imperfect data and attribution to platform decisions and AI-ready operating models, the focus is on building RevOps systems that support clarity, efficiency and scale.
RevOps teams can apply these insights to make better technology choices, strengthen data foundations and operate with confidence as AI becomes part of everyday workflows.