,allowExpansion)
Effective advertising personalization begins with audience profiling, using demographics, behaviors and user preferences. In addition, it is possible to optimize the advertising experience by aligning ads with the content consumed, creating a smooth and consistent user experience.
This strategy, often referred to as contextual advertising, ensures that the ads are in line with the audience, matching their interests and the context in which they are displayed.
,allowExpansion)
The AVOD business model (S) is becoming increasingly dominant in the media industry, adopted by major market players.
The AVOD model (S) offers an ideal environment for integrating content-guided advertising: it allows content preprocessing and the distribution of ads on demand, improving the viewer's experience with relevant and timely advertisements.
In addition, when content moves from linear channels to VOD, there is a unique opportunity to reframe advertising spaces.
This ability to resell advertising slots maximizes revenue potential and offers advertisers a new channel to reach their target.
We use video analysis techniques based on artificial intelligence to improve the positioning and relevance of ads, ensuring a more engaging experience for viewers by focusing on two main elements.
We analyze video content to identify the best times for inserting ads, aligning them with natural pauses or engaging segments.
We extract relevant information from the video (context, themes, emotions), fluidly combining ads with the content that is consumed.
It plays a crucial role in cataloguing and advertising, automating the identification and classification of elements, people or scenes within video content.
It allows you to obtain more detailed insights on video content and to develop advanced strategies for advertising and content organization.
It plays a fundamental role in optimizing advertising strategies, detecting changes in the visual or audio flow of a video.
Detect, analyze and filter inappropriate content; ensuring brand security, complying with platform guidelines and guaranteeing content appropriate for the public.
Content-driven advertising, enabled by AI-based video analysis, can offer a smoother and more engaging advertising experience.
The solution involves optimizing the advertising experience by aligning ads with video content, in terms of timing, content, style and other elements. To integrate content-driven ads into your ecosystem, you need to introduce or expand content preparation and integration between all components involved in distributing videos and ads.
In addition to audience targeting, the ads chosen based on the content thus improve viewer engagement and obtain higher conversion rates