October 31, 2020

Programmatic

In a world where nearly everyone is always online, there is no offline.

Podcast: Nate Woodman Says Brands Will Eventually Own Proprietary Machine-Learning Models

<p>AdExchanger |</p> <p>Welcome to episode No. 8 of AdExchanger Talks, a podcast focused on data-driven marketing. Subscribe here. According to Nate Woodman, GM of demand solutions at IPONWEB, the deployment of brand data in the media-buying arena is at an early stage. His pet thesis: Now that CRM activation in programmatic is common, the next challenge will be<span class="more-link">... <span>Continue reading</span> »</span></p> <p>The post <a rel="nofollow" href="https://adexchanger.com/adexchanger-talks/podcast-nate-woodman-says-brands-will-eventually-proprietary-machine-learning-models/">Podcast: Nate Woodman Says Brands Will Eventually Own Proprietary Machine-Learning Models</a> appeared first on <a rel="nofollow" href="https://adexchanger.com">AdExchanger</a>.</p><img src="http://feeds.feedburner.com/~r/ad-exchange-news/~4/3CLsnN1EP5M" height="1" width="1" alt="" />

Welcome to episode No. 8 of AdExchanger Talks, a podcast focused on data-driven marketing. Subscribe here.

According to Nate Woodman, GM of demand solutions at IPONWEB, the deployment of brand data in the media-buying arena is at an early stage. His pet thesis: Now that CRM activation in programmatic is common, the next challenge will be the development of proprietary machine-learning models that are owned and controlled by brands.

“Most CRM data is activated through a DSP,” Woodman says in this latest episode of AdExchanger Talks. “That supports a segmentation strategy, but to drive real performance out of a system requires a machine-learning model, which can hit performance targets in a vastly superior way to segment-based buying.”

A tiny club of big marketers, such as Netflix, have initiatives in place today around proprietary algorithmic IP. And other performance-focused verticals like banks may be positioned to do so. But it’s a steep climb.

“The challenge to the industry, and it’s a daunting one, is to find a way to spread proprietary algorithms across programmatic platforms,” Woodman said. “Most brands aren’t even close to realizing this vision, but some are making overtures in the direction of proprietary machine-learning models.”

He added, “I don’t know that it’s going to go there, but it’s a vision.”

Also in this episode: Woodman talks about IPONWEB’s unique place in ad tech history, its current strategy and the evolution of the agency trading desk model.

This post was syndicated from Ad Exchanger.