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Sisällön tarjoaa Jeff Bullas. Jeff Bullas tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.
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The Unexpected Ways AI is Dominating Retail Media

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Manage episode 431935710 series 3521162
Sisällön tarjoaa Jeff Bullas. Jeff Bullas tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.

David Pollet is the CEO of Incremental and a repeat entrepreneur with over 20 years of startup experience.

He has extensive history across startup environments and the lessons he has learned come from what he calls "a mix of big wins and big fails."

David is a “Go to Market Growth Leader” with experience scaling Saas startups and public company divisions ranging from $5M-$100M+ in ARR. 25-years of experience in Sales, Marketing and Strategy leadership roles.

He is a team-builder with experience translating long-term strategic growth initiatives into operating plans that can be executed, measured, and improved continuously.

He has a proven track record of accelerating growth during times of transition. Deep knowledge and experience transitioning transactional businesses such as media arbitrage and data sales into Saas businesses with complex, multi-year committed engagements.

He is well-versed in Identity Management, Measurement & Attribution, Machine Learning, Data Sales, and all Media types (incl. Linear TV, CTV, Digital and Social Video).

Known for partnering closely with product, engineering and finance, he easily identifies opportunities for innovation and profitable growth.

What you will learn
  • Learn how to leverage data for maximizing e-commerce revenue.
  • Understand the role of AI in automating the collection and interpretation of e-commerce sales data.
  • Discover the process of using machine learning to predict daily sales and align disparate data sources.
  • Understand the impact of retail media networks on advertising performance.
  • Discover the journey from traditional online advertising to advanced machine learning techniques.
  continue reading

100 jaksoa

Artwork
iconJaa
 
Manage episode 431935710 series 3521162
Sisällön tarjoaa Jeff Bullas. Jeff Bullas tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.

David Pollet is the CEO of Incremental and a repeat entrepreneur with over 20 years of startup experience.

He has extensive history across startup environments and the lessons he has learned come from what he calls "a mix of big wins and big fails."

David is a “Go to Market Growth Leader” with experience scaling Saas startups and public company divisions ranging from $5M-$100M+ in ARR. 25-years of experience in Sales, Marketing and Strategy leadership roles.

He is a team-builder with experience translating long-term strategic growth initiatives into operating plans that can be executed, measured, and improved continuously.

He has a proven track record of accelerating growth during times of transition. Deep knowledge and experience transitioning transactional businesses such as media arbitrage and data sales into Saas businesses with complex, multi-year committed engagements.

He is well-versed in Identity Management, Measurement & Attribution, Machine Learning, Data Sales, and all Media types (incl. Linear TV, CTV, Digital and Social Video).

Known for partnering closely with product, engineering and finance, he easily identifies opportunities for innovation and profitable growth.

What you will learn
  • Learn how to leverage data for maximizing e-commerce revenue.
  • Understand the role of AI in automating the collection and interpretation of e-commerce sales data.
  • Discover the process of using machine learning to predict daily sales and align disparate data sources.
  • Understand the impact of retail media networks on advertising performance.
  • Discover the journey from traditional online advertising to advanced machine learning techniques.
  continue reading

100 jaksoa

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