Daniel Brady is Co-founder and Co-CEO at Orita, specializing in AI customer segmentation that maximizes campaign revenue for direct-to-consumer brands. With a unique background bridging neuroscience and data science, he leverages his computational expertise to build machine learning models that drive profitable growth. Daniel has over a decade of experience building data teams and systems for commerce tech companies and brands. He holds a PhD from Harvard University and a BA from UC Berkeley. When he’s not optimizing marketing algorithms, you can find Daniel catching waves as an avid surfer.
Most brands can’t act on the billions of engagement signals customers generate each day. Learn how Orita’s bespoke Machine Learning models turn those signals into high-yield segments, then syncs segments directly to Klaviyo and PostPilot. See how brands like Thirdlove, True Classic, gorjana, Spanx, and Caraway unlock hidden revenue, lift click rate, and get more from every send.
Learning objectives
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