Episode #262: Sagi Reuven, Chief Revenue Officer at Deepdub, explains how ABM must evolve in an AI-driven market. He explains why trust and market knowledge set demos apart from production outcomes. He explains that sellers must communicate the roadmap and execution, not just the product. He closes with a lens for enterprise ABM that starts with the size of the customer problem.
Episode #262: Sagi Reuven, Chief Revenue Officer at Deepdub, explains how ABM must evolve in an AI-driven market. He explains why trust and market knowledge set demos apart from production outcomes. He explains that sellers must communicate the roadmap and execution, not just the product. He closes with a lens for enterprise ABM that starts with the size of the customer problem.
In this 5:07 video, Sagi Reuven explains why adoption is the hidden failure point in AI and SaaS. He shares an example where a large deal failed because people never used the tool. He argues that teams must teach customers how to get value from new AI features. He suggests a new marketing function focused on education and practical guidance.
In this 6:13 video, Kari Hanson compares today’s AI to early Wikipedia. She explains how models trained on generic data push every company toward the same messages. She also argues that context is king and that the voice of the customer provides that context, showing how marketing must connect buyer, user, and executive perspectives to train AI intelligently.
Episode #242: Kari Hanson, Chief Marketing Officer at Robin, explains why traditional ideas of predictability are breaking under the pressure of AI-driven change. She describes how shifting buyer behavior makes historic performance less reliable as a guide. Kari shows how brand and voice of the customer can restore clarity in this chaos and outlines a path to rebuild more predictable revenue systems grounded in genuine customer insight.
Episode #242: Kari Hanson, Chief Marketing Officer at Robin, explains why traditional ideas of predictability are breaking under the pressure of AI-driven change. She describes how shifting buyer behavior makes historic performance less reliable as a guide. Kari shows how brand and voice of the customer can restore clarity in this chaos and outlines a path to rebuild more predictable revenue systems grounded in genuine customer insight.