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Data observability within RevOps Pt. 1 - Lindsey Meyl, CEO and Cofounder of RevAmp
Manage episode 419707669 series 2869094
Контент предоставлен Accelerant Growth Solutions, Mark Petruzzi, Cathy Minter, Paul Melchiorre, and Katerina Ostrovsky. Весь контент подкастов, включая эпизоды, графику и описания подкастов, загружается и предоставляется непосредственно компанией Accelerant Growth Solutions, Mark Petruzzi, Cathy Minter, Paul Melchiorre, and Katerina Ostrovsky или ее партнером по платформе подкастов. Если вы считаете, что кто-то использует вашу работу, защищенную авторским правом, без вашего разрешения, вы можете выполнить процедуру, описанную здесь https://ru.player.fm/legal.
In this episode of the "Selling the Cloud - RevOps Edition" podcast, Lindsey Meyl, co-founder of RevAmp, discusses optimizing go-to-market strategies through comprehensive data insights. Key topics include the importance of a dynamic data strategy, the transformative role of observability in RevOps, and leveraging AI for competitive advantage.
- Lindsey explains how many GTM leaders struggle with data confidence, comparing traditional CRM data processes to agile software development, and highlighting the need for a more dynamic approach to data collection and analysis.
- We delve into how observability can transform revenue operations by integrating various data signals, such as website activity and email interactions, to provide deeper insights and actionable recommendations.
- Lindsey discusses the difference between AI that enhances productivity and AI that drives a competitive edge, emphasizing the importance of organizing and utilizing unique data assets.
As mentioned in the show: to build GTM infrastructure supporting data-driven decisions, you need to understand what data you have. Greg Meyer recently published a great maturity framework on LinkedIn, found HERE.
Co-Hosts: Mark Petruzzi and Katerina Ostrovsky
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