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We curate most relevant posts about Go-to-Market on LinkedIn and regularly share key takeaways.
This edition offers a comprehensive look at the evolution of Go-to-Market (GTM) strategy in the B2B and SaaS space, particularly emphasising the rise of GTM Engineering as a critical, data-driven discipline. Several authors highlight that traditional sales has evolved into a more scalable, automated, and AI-fuelled GTM engine, with tools like Clay frequently cited as central to this transformation. Core themes include the necessity of establishing GTM foundations (such as ICP, positioning, and messaging) before implementing tactics, the danger of using inaccurate intent data, and the importance of cross-functional alignment (RevOps, Sales, Marketing) to ensure efficient growth and mitigate pipeline failure. Furthermore, the content suggests that successful modern GTM relies on rapid iteration and delivering unique value propositions rather than relying on volume-based outreach or "heroic" efforts.
This podcast was created via Google Notebook LM.
By Thomas Allgeyer, Frenus GmbHWe curate most relevant posts about Go-to-Market on LinkedIn and regularly share key takeaways.
This edition offers a comprehensive look at the evolution of Go-to-Market (GTM) strategy in the B2B and SaaS space, particularly emphasising the rise of GTM Engineering as a critical, data-driven discipline. Several authors highlight that traditional sales has evolved into a more scalable, automated, and AI-fuelled GTM engine, with tools like Clay frequently cited as central to this transformation. Core themes include the necessity of establishing GTM foundations (such as ICP, positioning, and messaging) before implementing tactics, the danger of using inaccurate intent data, and the importance of cross-functional alignment (RevOps, Sales, Marketing) to ensure efficient growth and mitigate pipeline failure. Furthermore, the content suggests that successful modern GTM relies on rapid iteration and delivering unique value propositions rather than relying on volume-based outreach or "heroic" efforts.
This podcast was created via Google Notebook LM.