Contextual advertising has revolutionized online marketing by allowing ads to be tailored to specific digital content, thus providing personalized experiences to viewers. However, its application in video on demand (VOD) platforms faces significant challenges, especially regarding ad insertion and relevance. Traditionally, the process requires exhaustive manual analysis, where an analyst spends hours viewing content to identify the most opportune moments to insert ads, a task that, while ensuring viewer experience fluidity, is impractical on a large scale.
With advances in generative artificial intelligence and multimodal models, an effective solution to overcome these difficulties is emerging. Amazon Bedrock Data Automation (BDA), a new managed tool, allows for the extraction of structured information from various forms of unstructured content, including documents, images, videos, and audio. BDA eliminates the need for complex workflows, while automating the extraction of valuable insights from videos, such as chapter segments and audio analysis, as well as classifying elements according to Interactive Advertising Bureau (IAB) taxonomies.
One of the most notable innovations is non-linear ads, which are presented alongside the main content without interrupting the viewing experience. Amazon S3 and AWS Lambda are key in loading and analyzing these ads, enabling better decision-making regarding their placement. This integration of insights results in more effective advertising by allowing advertisers to target specific chapters that align with their campaigns.
The implementation of BDA not only streamlines the processing and analysis of videos but also enables various media companies to optimize advertising experiences, making them more engaging and personalized. This innovation represents a significant advancement in advertising management on streaming platforms, with the promise of enhancing viewer satisfaction. By increasing ad relevance and overall user experience optimization, a new horizon is opened in digital advertising.
Source: MiMub in Spanish