CONTEXTUAL ADVERTISING on MEDIA

From AI Video Analysis to Viewer Engagement​

In today’s media landscape, the relevance of advertising continues to grow. Effective personalization begins with audience profiling, utilizing user demographics, behaviour, and preferences.

Additionally, we can optimize the advertising experience by aligning Ads with the content being consumed, creating a seamless user experience.

This strategy, often referred to as content-driven or contextual advertising, ensures that Ads resonate with viewers by matching their interests and the context in which they are viewed.

SCENARIO

The (S)AVOD business model is increasingly becoming a dominant force in the media industry, embraced by major players in the market.

(S)AVOD offers a prime environment for content-driven advertising. It allows for the pre-processing of content and delivers ads on demand, enhancing the viewer experience with relevant and timely advertisements.

Moreover, when content transitions from linear channels to VOD, it presents a unique opportunity to re-monetize advertising spaces.

This ability to resell ad slots maximizes revenue potential and offers advertisers a fresh avenue to reach their target audience.

WHAT WE DO

We leverage AI-based video analysis techniques to enhance ad placement and relevance, ensuring a more engaging viewer experience:

Optimal Timing for ad Slots: analyzing video content to determine the best moments for ad insertion, aligning ads with natural breaks or engaging segments.​

Contextual content Matching: extracting relevant video information (context, themes, emotions), seamlessly matching ads to the content being consumed

MAIN FEATURES

  • OBJECT RECOGNITION

    Plays a key role in cataloging and advertising by automating the identification and classification of items, people, or scenes within video content.

  • DIALOGUES RECOGNITION

    Enables deeper insights into video content and supports more sophisticated advertising and content organization strategies.

  • SCENE

    DETECTION

    Plays a pivotal role in optimizing advertising strategies by recognizing changes in the visual or audio flow of a video.

  • VISUAL/AUDIO MODERATION

    Detects, analyzes, and filters inappropriate content; maintaining brand safety, adhering to platform guidelines and ensuring appropriate content for the intended audience.

CONCLUSION

Content-driven advertising, enabled by AI-based video analysis, can offer a more seamless and engaging ad experience.​ We can optimize the advertising experience by aligning ads with the video content, in terms of ads timing, content, style, and others. To integrate content-driven ads in your ecosystem, you must introduce or expand the content preparation and the integration between all the components involved in Video and ads delivery​. In addition to audience targeting, content-driven ads allows to enhance viewer engagement and have higher conversion rates, as contextual alignment increases ad effectiveness

Let's start working together right now. Drop us a line at to know more.