NBCUniversal Taps Machine Learning to Tie Ads to Relevant Moments on TV
NBCUniversal announced a new machine learning tool today that helps brands place ads around scenes relevant to their product across any of the media giant’s broadcast and cable properties. The Contextual Intelligence Platform analyzes programming scripts, closed captioning data and visual descriptors of both ads and shows to find opportune moments for a given advertiser to appear as well as an emotional gauge for each scene determined by proprietary algorithms.
Focus groups for ads placed with the platform thus far have shown an average bump of 19 percent in brand memorability, 13 percent in likability and 64 percent in message memorability, according to Josh Feldman, vp and head of marketing and advertising creative, NBCU. The announcement comes as linear television providers continue to grapple with how to bring digital targeting practices to a medium that still largely operates on traditional phone-call media buying and manual ad placements. NBCU is now working with three to five advertisers for the system’s beta-test, and is aiming for an official release date early next year.