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, Michael Recce simplifies 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