Goodbye, Outstream: The Digital Video Classification Shakeup - E285
Mar 22, 2024
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Exploring new video ad classifications, impact on revenue with Google standards, challenges for video ad tech firms. Using GPTs for contextual targeting in digital ads. Implications of European AI Act on business and advertising worldwide.
New video classifications impact ad inventory valuation, replacing outstream placements.
AI technologies like GPTs enhance contextual targeting, necessitating compliance with evolving regulations and privacy standards.
Deep dives
Video Ad Placement Classification Guidelines
The podcast explores the complexities of classifying video ad placements on publisher sites. Buyers had to adjust their understanding of in-stream and out-stream video definitions following the changes by the IAB Tech Lab. New classifications like 'no content standalone' and 'accompanying content' aim to differentiate video content types on websites, impacting how buyers value ad inventory.
Implications of Google's New Video Classification Standards
Google's implementation of the IAB Tech Lab guidelines signals changes in how video inventory is labeled and valued. The shift affects the perceived value of accompanying content, prompting potential price adjustments in the market. With Google's adoption, transparency in classifying video content is expected to influence buying decisions and revenue streams for publishers.
Adapting to AI-based Contextual Targeting Models
Ad tech companies are leveraging large language models like GPT to enhance contextual targeting in media buying. Cognitive and Prime Audience employ AI models to analyze content, making targeting more nuanced and contextually relevant. The AI Act in Europe may influence how these tools are utilized, emphasizing transparency, privacy compliance, and bias mitigation.
Challenges and Opportunities in AI for Media Buying
Using evolving AI technologies for advertising presents challenges and opportunities. Advancements like generative AI for content creation and contextual targeting tools offer precision in ad placement but raise concerns about transparency and bias. As regulations evolve, companies need to adapt tools to meet privacy standards and address bias in AI-based media strategies.