The TV of Tomorrow Show (TVOT NYC 2024) Session Audio: https://lnkd.in/gD2jRtqf The panel discussed the evolution of contextual targeting in CTV advertising, emphasizing its distinction from traditional day parting. Key points included the use of AI and machine learning to analyze content at a scene level, ensuring ads align with viewer emotions and brand suitability. Companies like Anoki AI, Gracenote, IRIS.TV, Vevo, and Wurl are leveraging these technologies to enhance ad relevance and reduce over-frequency. Challenges such as privacy, frequency, and scale were addressed, with solutions focusing on data normalization, real-time engagement, and maintaining a seamless ad experience. The panel highlighted the potential of contextual targeting to improve ad effectiveness and consumer engagement without the intrusiveness of behavioral targeting.
Panelists included:
Alan Wolk, Principal, TVREV (Moderator)
Dave Bernath, General Manager, Americas, Wurl
Laura Vanison, Head of Data, Research and Measurement, Vevo
Raghu Kodige, CEO, Anoki AI
Rohan Castelino, CMO, IRIS.TV
Stefan Maris, Chief Partnerships Officer, Gracenote, A Nielsen Company
TOPICS
The key topics discussed in the conversation include: contextual advertising, data and metadata, privacy, scale, brand safety, brand suitability, content discovery, personalization, emotion-based targeting, and the advantages of contextual advertising over traditional audience-based targeting.