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Why ‘Pipeline’ Is Dead: Rethinking Revenue Metrics in an AI World

Why ‘Pipeline’ Is Dead: Rethinking Revenue Metrics in an AI World

For decades, the sales pipeline has been the North Star of revenue operations. Managers review pipeline health in weekly meetings, forecast revenue from deals in progress, and allocate resources based on what the pipeline data suggests. But here’s the uncomfortable truth: pipelines are failing us. They’re static, lagging indicators that reflect past activity, not future outcomes. In an AI-powered world, where speed and precision define success, clinging to outdated pipeline metrics puts businesses at a disadvantage.

AI is reshaping the way revenue teams operate, and at the center of this transformation is AI Signal Scoring

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About The Author

Jonathan Aka Coach K

Jonathan is a seasoned AI and GTM strategist with over 15 years of experience in Revenue Excellence, Enablement, and Acceleration. As the founder of GTM AI Academy, he focuses on driving real business impact through AI, offering practical strategies for Go-To-Market teams. Recognized as an Enablement Legend by Seismic and named in SEC’s 2023 Enablement Ones to Watch, Jonathan’s expertise has supported global organizations, Fortune 500 companies, and startups in doubling revenue and enhancing efficiency. He consults on AI integration, helping companies transform potential into measurable outcomes.

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