Data observability within RevOps Pt. 1 - Lindsey Meyl, CEO and Cofounder of RevAmp
Update: 2024-05-22
Description
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
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
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