Episode #328: Michael Scott, Global Chief Revenue Officer at LoopMe, explains the revenue logic behind customer obsession. He shares how deeper customer understanding helps companies identify problems they are uniquely positioned to solve, create greater value, and become more important to customers. He also explores why customer obsession requires C-suite alignment, continuous customer learning, and strong data.
Episode #328: Michael Scott, Global Chief Revenue Officer at LoopMe, explains the revenue logic behind customer obsession. He shares how deeper customer understanding helps companies identify problems they are uniquely positioned to solve, create greater value, and become more important to customers. He also explores why customer obsession requires C-suite alignment, continuous customer learning, and strong data.
In this 2:29 video, Nathan Burke explains how teams create “unfair advantages” without relying on product features. He shares examples such as long-term trust, speed, and human connections that affect buying conditions. He argues that marketing should shape the environment in which buying feels safe and clear. He also explains why this approach reduces pressure on sellers to win alone.
Episode #258: Nathan Burke, Chief Marketing Officer at 7AI, explains why the funnel no longer matches how buyers actually purchase. He explains why being different is measurable and why sameness kills attention in cybersecurity, and he breaks down what buyers want now, including trust in the people behind AI. He also outlines how speed, service, and relationships can replace outdated motions.
Episode #217: Aviv Canaani, Chief Revenue Officer at Datarails, breaks down how to engineer a predictable revenue model by treating go-to-market like a factory. He explains the handoffs between marketing, SDRs, AEs, and solution consultants, and why brand trust and creative risk-taking accelerate demand, conversion, and forecasting accuracy.
Episode #217: Aviv Canaani, Chief Revenue Officer at Datarails, breaks down how to engineer a predictable revenue model by treating go-to-market like a factory. He explains the handoffs between marketing, SDRs, AEs, and solution consultants, and why brand trust and creative risk-taking accelerate demand, conversion, and forecasting accuracy.