Quantcast Webinar:
Identifying the right opportunities to capture consumer attention across a vast array of digital touch points has become a critical challenge. In response, we have seen the rapid evolution of new technologies that tout the benefits of “machine learning” to drive better advertising decisions. But what do these terms really mean? What are the key ingredients for successfully leveraging an automated approach to display buying?
With a background in Neuroscience and Artificial Intelligence, Quantcast VP of Performance Engineering, Michael Recce will simplify the science behind predictive modeling and take you along a journey of how models can be used in real time bidding (RTB) to optimize your investments and find more of your best-performing customers online.
Watch this webinar to:
- Understand the right tools to take advantage of real-time advertising
- Discover the inner workings of predictive modeling
- Get real campaign results built on machine learning from Joel Nierman, Marketing and Media Director at Critical Mass
Michael Recce is the VP of Performance Engineering at Quantcast, leading a team responsible for the performance of Quantcast’s targeted advertising products. Prior to Quantcast he was a lecturer at University College London and a professor of information systems at New Jersey Institute of Technology.
Joel Nierman is the Marketing and Media Director at Critical Mass, where he oversees the global digital media practice. Previously Joel worked at digital agency Charlotte's Web Marketing, where he was responsible for directing the agency’s client media work and managing all media-client relationships.
About The Speakers
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