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Austin Hay

Head of Marketing Technology at Ramp; previously held VP roles at Runway and mParticle. Expert in Martech strategy and tactics, advising major companies.

Top 3 podcasts with Austin Hay

Ranked by the Snipd community
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213 snips
Aug 13, 2023 • 1h 25min

The ultimate guide to Martech | Austin Hay (Reforge, Ramp, Runway)

In this discussion, Austin Hay, Head of Marketing Technology at Ramp and a veteran in the Martech landscape, sheds light on the evolving role of marketing technologists. He explains when companies should hire for Martech roles and shares his favorite tools for success. Austin delves into the complexities of attribution models and the importance of robust data management, while also addressing the balance between individual contributions and team dynamics. He wraps up with practical insights on 'thinking gray' for making better decisions.
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50 snips
Sep 17, 2024 • 1h 12min

GTM 112: The Ultimate MarTech Guide and the Great Contraction with Austin Hay

Austin Hay, Co-Founder of Clarify and MarTech expert, shares insights on the chaotic state of MarTech and RevTech, highlighting the impending 'great contraction.' He discusses the need for next-gen CRMs that unify data and improve functionality. Austin emphasizes the importance of focusing on quality tools and treating people with respect during their transitions. He critiques common misconceptions in revenue leadership and reveals what's truly effective in go-to-market strategies. His journey underscores the power of brand, culture, and community in driving success.
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13 snips
Nov 9, 2023 • 1h 20min

Austin Hay (Ramp) Examines What's Next for HubSpot's Newest Acquisition, Clearbit; Plus a Defense of Freemium

Renowned marketing technology expert, Austin Hay, discusses HubSpot's acquisition of Clearbit. They delve into the consolidation trend in the industry, challenges of integration, and the potential areas of expansion for HubSpot. They also explore the struggles faced by Clearbit, challenges of data enrichment and AI applications in sales and marketing, the value of proprietary datasets, freemium pricing drawbacks, and considerations for offering a product for free.