Bitmovin’s AI Contextual Advertising optimizes ad placement for users based on a machine learning model that extracts the relevant characteristics of every video scene and analyzes viewer engagement. One of the key advantages of Bitmovin’s AI Contextual Advertising is that it’s based on cookieless workflows and provides relevant adverts to viewers without the need for personalized tracking.

Bitmovin’s Encoding solutions leverage AI to analyze video content, audio content, or both and use an AI model of OpenAI to extract the metadata from the content to enable a more content-focused advertising placement. Each extracted piece of content metadata is assigned a timestamp to map that information to the specific position in the content it belongs to. The metadata describes the content in sufficient detail to allow for targeted ad placement, but it can also describe the scene more broadly. The Bitmovin Player then takes this metadata and sends it to a content-aware ad server, which, in return, replies with contextual ads. Using a conversion heatmap generated by the Player, the ad's position is optimized to increase the chance of a conversion. This heatmap is mapped to the categories based on the Interactive Advertising Bureau’s taxonomy in tandem with an AI analysis of historical data and the current user environment.

Bitmovin’s AI Contextual Advertising is designed to place adverts that target audiences based on the content they are watching. For example, if a viewer is watching a TV show featuring characters in a luxury hotel, subsequent advertisements could be for hotel brands, cruise ship holidays, spa weekends, or health and beauty brands. The rationale is that the viewer is more likely to engage with that content because they are already watching content that features those things and appeals to or interests them to some level, resulting in more ad-generated revenue.

Furthermore, Bitmovin AI Contextual Advertising & Prediction measures conversion rates at different points of the video, combined with information about the user’s viewing environment to place the ad when the viewer is most likely to convert. Additionally, contextual metadata can be used to ensure brand safety and avoid placing adverts with content incompatible with the brand. For example, it would avoid showing adverts for airlines during ad breaks for content that features plane crashes.

Bitmovin’s AI Contextual Advertising is unique because it integrates two existing products, which means it is simple for customers to integrate. After all, there is no need for multiple third-party integrations. It is compatible with Server-Side Ad Insertion (SSAI), Client-Side Ad Insertion, and Server-Guided Ad Insertion (SGAI).