Harnessing AI For Precision GTM By Elevating B2B Sales Technology With Predictive Lead Scoring And Automation

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Dileep Kumar Pandiya

Abstract

In the dynamic B2B selling environment, AI for GTM accuracy is critical to organizations wishing to lead. Continuing from the previous point, it is crucial to understand that this article is focused on explaining how the new AI-enabled technologies, like predictive lead scoring or lead automation, change traditional GTM strategies and make companies more precise in targeting their prospects and optimizing their sales. Using examples of industry leaders, such as HubSpot, Salesforce, and Marketo, the article explains how AI changes market segmentation, content delivery, and dynamic pricing models. It also addresses the relative proportion of automation and natural customer engagement so that the AI optimizes and is not a detrimental subtraction from the human element critical in sales. In the future, such AI trends as predictive analytics, voice assistants, and decision-making AI will help change GTM strategies. To counter these advancements, here are some business recommendations: Organizations should embrace the culture of lifelong learning and adaptability; AI has a lot of potential within B2B sales, allowing organizations to unlock their potential amid such a vast and constantly growing market. Adopting such technologies ensures that organizations retain their competitive advantage and that long-term profitability is achieved.

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How to Cite
Dileep Kumar Pandiya. (2021). Harnessing AI For Precision GTM By Elevating B2B Sales Technology With Predictive Lead Scoring And Automation. Educational Administration: Theory and Practice, 27(4), 1220–1227. https://doi.org/10.53555/kuey.v27i4.7583
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Articles
Author Biography

Dileep Kumar Pandiya

Senior Software Engineer, Wayfair Technologies Boston U.S

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