The AI in GTM Framework The Must Haves and Tradeoffs
Автор: Tenbound Now Powered by Cience
Загружено: 2024-10-04
Просмотров: 159
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The discussion focused on integrating AI into Go-To-Market (GTM) strategies, addressing talent shortages and competency gaps. Jordan Henderson, VP of Rev Ops emphasized the importance of identifying real problems before implementing AI solutions. Key areas include initial email drafts, call scripts, and intent data targeting. Tools like Gong and SalesLoft were highlighted for their AI capabilities in forecasting and risk identification. The conversation also stressed the need for a cohesive tech stack, regular TAM, SAM, and ICP analysis, and the importance of customer feedback in refining strategies.
Action Items
Revisit the company's TAM
Conduct customer interviews to understand the actual reasons why customers are buying the product, rather than relying solely on the company's internal perceptions.
Evaluate AI tools based on their ability to solve specific problems, their integration capabilities, and the ease of use for the sales team, rather than just adopting the latest trends in the market.
Encourage a collaborative approach to implementing AI and other technology solutions, involving cross-functional teams and avoiding siloed decision-making.
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