How Smarter Buyers are Forcing a Go-To-Market Evolution with Guy Rubin
Wed Jan 07 2026
In this live episode of the CRO Spotlight Podcast, Warren sits down with Guy Rubin to discuss the recent acquisition of Ebsta by Fullcast and what it signals for the market. Guy explains the strategic reasoning behind the consolidation, highlighting how the current landscape of disparate point solutions is becoming unsustainable. He argues that the future belongs to unified revenue platforms that connect data across the entire lifecycle, moving from a fragmented tech stack to a cohesive "plan to pay" model that drives true efficiency.
The conversation shifts to the broader Go-To-Market environment, where the cost of building tech is dropping while the cost of selling rises. Guy points out that while AI tools are exploding, they often create more noise than value when isolated. He predicts a massive consolidation where businesses move away from traditional CRMs requiring manual entry toward intelligent data lakes and AI agents. This shift requires leaders to learn how to ask the right questions of their data rather than simply managing administrative forms.
Warren and Guy also explore the dramatic shift in buyer behavior, illustrated by how AI empowers customers to conduct deep research before ever speaking to a human. With buyers capable of building their own business cases, the role of the seller must evolve from a gatekeeper of information to a consultative partner. They discuss why this dynamic forces organizations to lean heavily into partner ecosystems and community validation, as buyers increasingly bypass traditional sales pitches to seek out trusted peer networks.
Finally, they dig into strategies for CROs and Private Equity firms looking to audit their revenue engines. Guy introduces "Revenue Insights as a Service," a method of connecting to historical data to generate an immediate "X-ray" of the business before implementing new tech. This allows leaders to identify root causes of inefficiency—like bad data hygiene or territory imbalances—and present concrete, data-backed roadmaps to the C-suite for rapid improvement without waiting months for a new system implementation.
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In this live episode of the CRO Spotlight Podcast, Warren sits down with Guy Rubin to discuss the recent acquisition of Ebsta by Fullcast and what it signals for the market. Guy explains the strategic reasoning behind the consolidation, highlighting how the current landscape of disparate point solutions is becoming unsustainable. He argues that the future belongs to unified revenue platforms that connect data across the entire lifecycle, moving from a fragmented tech stack to a cohesive "plan to pay" model that drives true efficiency. The conversation shifts to the broader Go-To-Market environment, where the cost of building tech is dropping while the cost of selling rises. Guy points out that while AI tools are exploding, they often create more noise than value when isolated. He predicts a massive consolidation where businesses move away from traditional CRMs requiring manual entry toward intelligent data lakes and AI agents. This shift requires leaders to learn how to ask the right questions of their data rather than simply managing administrative forms. Warren and Guy also explore the dramatic shift in buyer behavior, illustrated by how AI empowers customers to conduct deep research before ever speaking to a human. With buyers capable of building their own business cases, the role of the seller must evolve from a gatekeeper of information to a consultative partner. They discuss why this dynamic forces organizations to lean heavily into partner ecosystems and community validation, as buyers increasingly bypass traditional sales pitches to seek out trusted peer networks. Finally, they dig into strategies for CROs and Private Equity firms looking to audit their revenue engines. Guy introduces "Revenue Insights as a Service," a method of connecting to historical data to generate an immediate "X-ray" of the business before implementing new tech. This allows leaders to identify root causes of inefficiency—like bad data hygiene or territory imbalances—and present concrete, data-backed roadmaps to the C-suite for rapid improvement without waiting months for a new system implementation.