The Third Era of GTM: Fixing the Data Before Scaling the Agents
About this event
<p>GTM data has gone through two big eras.</p><p>First, we turned static directories into digital lists. Then we connected those lists to workflows and automated what happened next.</p><p></p><p><strong>But somewhere along the way, we skipped a step: fixing the data underneath.</strong></p><p>Incomplete records limit the market you can see. Missing context makes precise targeting harder. And when AI agents enter the picture, they don't solve those problems. <strong>They can act on them faster and at much greater scale.</strong></p><p></p><p>So what should the data foundation for an agent-powered GTM motion actually look like?</p><p></p><p>In this session, <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/apurvarshukla/" title="https://www.linkedin.com/in/apurvarshukla/"><strong>Apurva Shukla</strong></a><strong> of Sumble</strong> joins <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/matthewvolm/" title="https://www.linkedin.com/in/matthewvolm/"><strong>Matthew Volm</strong></a><strong> of RevOps Co-op</strong> to explore what Sumble calls the <strong>third era of GTM data</strong>, and why advances in LLMs and modern data engineering are changing what's possible.</p><p>They’ll unpack how teams can move beyond static records toward GTM data built from underlying evidence, with greater granularity, field-level lineage, and a foundation that can be maintained and governed as AI becomes more deeply embedded in GTM workflows.</p><p></p><p>🔑 <strong>Key Takeaways</strong></p><ul><li><p>Why the data foundations built for traditional GTM workflows can struggle as teams introduce AI agents</p></li><li><p>How bad or incomplete data limits <strong>market visibility, targeting precision, and downstream automation</strong></p></li><li><p>What defines the <strong>third era of GTM data</strong>, and what has changed to make it possible</p></li><li><p>How concepts like <strong>raw evidence, data lineage, governance, and greater granularity</strong> can create a stronger foundation for AI-powered GTM</p></li></ul><p></p><p>📣 <strong>Speakers</strong></p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/matthewvolm/" title="https://www.linkedin.com/in/matthewvolm/"><strong>Matthew Volm</strong></a> | CEO & Founder, RevOps Co-op | Moderator</p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/apurvarshukla/" title="https://www.linkedin.com/in/apurvarshukla/"><strong>Apurva Shukla</strong></a> | Head of Growth, Sumble</p><p></p><p></p><p>Not a member of the RevOps Co-op yet? <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.revopscoop.com/membership/join-the-club" title="https://www.revopscoop.com/membership/join-the-club">Join here</a> to connect with 20,000+ pros who love revenue operations!</p>