Revenue Insights Podcast

The Revenue Insights Podcast is your one stop shop to unlock a wealth of knowledge shared by the brightest minds in RevOps. Listen for exclusive interviews on strategy, thought-leadership and industry secrets to take your understanding of RevOps and Revenue Intelligence to the next level.

Eleanor O’Neill: The Hidden Revenue Engine You’re Ignoring (Hint: It’s Your Customers) 05/08/2026

Eleanor O’Neill: The Hidden Revenue Engine You’re Ignoring (Hint: It’s Your Customers) In this episode of the Revenue Insights Podcast, host Guy Rubin, Ebsta founder and MD of Revenue Intelligence at Fullcast, sits down with Eleanor O’Neill, Chief Revenue Officer at Mont, a company that operates at the intersection of infrastructure, sustainability, and next-generation software. Eleanor started as an engineer, moved through CIO and CTO roles, led customer organizations and now sits at the center of revenue strategy. This unique journey provided a radically different perspective on what it actually takes to build a modern revenue engine. And here are a few key points from what she has experienced: –If your revenue strategy doesn’t start with the customer, your pipeline is already at risk. –If AI isn’t embedded into your workflows, you’re already behind. –If your RevOps team isn’t driving decisions, your CRO is flying blind. Throughout the conversation, Eleanor makes it clear that revenue growth is no longer about activity. It’s about alignment, insight, and execution at scale. What You Will Learn From This Podcast Why the future CRO is less “deal closer” and more data-driven orchestrator How Eleanor’s technical background reshapes accountability across teams Why the best pipelines don’t start with net-new leads—they start with happy customers How customer success fuels expansion, references, and lower churn Why top-performing teams qualify out early and win more because of it The hidden cost of “hope-driven forecasting” How Mont uses AI to analyze thousands of hours of calls and automate reporting Why AI is shifting teams from execution to interpretation and strategy If you’re a CRO, RevOps leader, or GTM executive trying to make sense of AI, pipeline quality, and the evolving revenue stack, this conversation will challenge how you think about revenue growth. /episode/index/show/1c252ead-4a8b-419e-b503-e6f4c1f02dba/id/41208025

Tyler Will: The Death of Seat-Based SaaS: Why AI Changes Everything 05/01/2026

Tyler Will: The Death of Seat-Based SaaS: Why AI Changes Everything In this episode of the Revenue Insights Podcast, Guy Rubin, Ebsta founder, MD of Revenue Insights at Fullcast, and host of the Revenue Insights podcast, talks with Tyler Will, VP of Revenue Operations at Intercom, to discuss one of the most aggressive AI pivots in SaaS. Tyler has led revenue operations through global scale at Bain, LinkedIn, and now Intercom where he’s helping transform the company into an AI-first customer experience platform powered by Fin, their AI agent launched shortly after ChatGPT. “If you’re not ahead of the curve, you don’t get to iterate your way into AI,” Tyler said. “You have to rip up your entire sales playbook and start over.” But what actually breaks when you operationalize AI inside a revenue organization. More importantly, what does it take to rebuild it? We’re entering a world where: 80%+ of customer interactions can be handled by AI Sales teams are flooded with more leads—but not more revenue And RevOps is the only function positioned to connect data, process, and execution This episode is your roadmap for navigating that shift. In this episode, learn: Why most companies fail to monetize AI—even when adoption is high How Intercom flipped from “AI as an add-on” to AI as the core product The real role of RevOps in an AI-first business (hint: it’s not reporting) Why incentive design—not technology—is the unlock for AI adoption How to rebuild your sales playbook from scratch for agentic workflows The shift from “seat-based SaaS” to outcome-based AI engagement models Why post-sales is now the most complex—and valuable—motion in GTM How AI is reshaping SDR, CSM, and sales engineering roles in real time As Tyler Will makes clear, AI doesn’t politely integrate into your existing GTM motion—it stress-tests it. It exposes misaligned incentives, outdated roles, and fragile processes that were never built for autonomous execution. The shift from seat-based SaaS to outcome-based AI is here. And the companies that win won’t be the ones experimenting on the edges. They’ll be the ones willing to rebuild with RevOps as the core for a strategic engine driving alignment between data, behavior, and growth. Tune in to this episode of the Revenue Insights Podcast with Guy Rubin and Tyler Will to hear what it actually takes to operationalize AI at scale and why the future of revenue belongs to the teams bold enough to start over. /episode/index/show/1c252ead-4a8b-419e-b503-e6f4c1f02dba/id/41079420

Peter Grant: The GTM Reset No One Is Prepared For 04/17/2026

Peter Grant: The GTM Reset No One Is Prepared For In this episode of the Revenue Insights Podcast, host Guy Rubin, Ebsta Founder, MD of Revenue Insights at Fullcast, sits down with Peter Grant, Chief Revenue Officer at You.com, to discuss what it really takes to scale in an AI-first world and why most revenue teams are quietly falling behind. Peter has built his career at the exact moment that industries shift—joining Siebel Systems, Salesforce, and C3.ai before they became category leaders. Now, he’s at the forefront of the next transformation and his perspective is that the release of ChatGPT reset GTM entirely. For instance, by layering tools like Claude and Gong into their workflows, leaders can: Break down every customer conversation Track deal progression against reality—not CRM guesswork Identify risk before it shows up in the forecast At You.com, the focus sits squarely on indexed AI agents that answer complex, domain-specific questions. As Peter points out, this is the shift from information retrieval to decision enablement. The 4 Signals That Separate Real AI Companies from Hype Peter breaks down the framework he uses to evaluate AI companies before they break out: People: Can this team actually deliver? Market: Is the pain real or manufactured? Product: Does it create immediate, accurate value? Timing: Can they move faster than the market? Miss one and the whole thing collapses. What You’ll Learn in this Episode Guy and Peter explore why: –AI is creating a “performance divide” in Sales –Why SaaS pricing is being rewritten in real time –Why seat-based pricing is losing relevance. Why You Should Listen If you’re a: CRO trying to scale in an AI-first market RevOps leader responsible for making AI actually work Founder navigating pricing, positioning, and product-market fit This episode will challenge how you think about growth. /episode/index/show/1c252ead-4a8b-419e-b503-e6f4c1f02dba/id/40899680