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.
Gayle Nixon, a multiple-time B2B CMO with 20+ years of experience, shares her insights on why CMOs need to be great forecasters and how she has flipped the traditional marketing attribution model. Instead of looking at marketing results after the fact, she focuses on predicting marketing spend and ROI before implementing any tactics.