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Optimizing B2B Go-To-Market Strategies with Signal-Based Analytics
The chapter explores the significance of signal-based analytics in enhancing a B2B company's go-to-market strategy by analyzing signals from accounts to improve sales outcomes and ROI. It discusses overcoming biases towards success validation and survivorship bias in b2b data, emphasizing the importance of focusing on process optimization and identifying inefficiencies rather than just proving success. The conversation highlights the challenges and benefits of adopting signal-based selling programs and transitioning towards an inbound engine while leveraging intent data for prospecting and customer acquisition.