Bitmovin, a leading provider of video streaming solutions, has launched Bitmovin’s AI Contextual Advertising, a new offering that leverages the power of its Bitmovin Playback Solution and Bitmovin’s Encoding to provide hyper-personalized adverts for audiences based on the content they are viewing. This innovative solution optimizes ad placement for users by utilizing a machine learning model that extracts relevant characteristics from each video scene and analyzes viewer engagement.
One of the key advantages of Bitmovin’s AI Contextual Advertising is its reliance on cookieless workflows, ensuring that relevant adverts are delivered to viewers without the need for personalized tracking. "We’re extremely proud of Bitmovin’s AI Contextual Advertising, which is a unique solution that will deliver personalized and relevant content to the viewer, which will translate into increased ad conversions revenue and brand loyalty,” said Stefan Lederer, CEO and co-founder of Bitmovin. “We believe our AI Contextual Advertising will help propel the industry forward by harnessing the power of AI into the integration of our award-winning technologies for smarter ad placements that will positively impact the customer’s bottom line.”
Bitmovin’s Encoding solutions utilize AI to analyze video and audio content, employing an OpenAI model to extract metadata that facilitates more content-focused advertising placement. Each extracted piece of metadata is assigned a timestamp, aligning it with its corresponding position within the content. The metadata offers a detailed description of the content, enabling targeted ad placement while also providing broader scene context. The Bitmovin Player then transmits this metadata to a content-aware ad server, which subsequently responds with contextual ads.
Leveraging a conversion heatmap generated by the Player, the ad’s position is optimized to maximize conversion chances. This heatmap is mapped to categories based on the Interactive Advertising Bureau’s taxonomy, combined with an AI analysis of historical data and the current user environment. "More and more media and entertainment companies are looking to advertising to support growth. Yet, lack of personalization in advertising remains a huge challenge for brands.” added Lederer, “AI can help make advertising experiences more tailored to the viewer by analyzing the content they are watching, which can help pinpoint what mood they are in and place ads that they will be more receptive to in that moment.”
Bitmovin’s AI Contextual Advertising is designed to place adverts that target audiences based on the content they are watching. For instance, 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. This approach aims to increase viewer engagement by delivering ads that align with their current interests, ultimately leading to higher ad-generated revenue.
Furthermore, Bitmovin AI Contextual Advertising & Prediction measures conversion rates at different points of the video, incorporating user viewing environment information to strategically place ads when the viewer is most likely to convert. Additionally, contextual metadata can be used to ensure brand safety by preventing adverts with content incompatible with the brand from being displayed. For example, it would prevent showing adverts for airlines during ad breaks for content featuring plane crashes.
Bitmovin’s AI Contextual Advertising stands out for its seamless integration of two existing products, simplifying adoption for customers by eliminating the 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).