Personalized OTT Endemic Banners for Content Exploration
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Solution Overview
Problem
Personalization of endemic media on Over-the-Top (OTT) devices is challenging, as existing ad targeting methods fail to deliver content-based creatives that users are likely to take action on, limiting exposure to content outside their comfort zone.
Innovation Solution
Implementing a content recommendation system that generates personalized banners with exploratory content outside user affinities, using a hybrid approach combining user's interests, related interests, and completely random content to stimulate serendipitous discovery and drive user reach.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If ad targeting methods use user's interests and targeting attributes to select campaigns, then ad personalization is achieved, but user exposure to content outside comfort zone is limited
Solution Approach 1:
The banner generation system dynamically adjusts content selection based on user context and campaign requirements. The system transitions from static targeting to dynamic content assembly, where banners are generated in real-time by combining user affinity content with exploratory content based on current user state and campaign goals.
Solution Approach 2:
The patent introduces an intermediary banner generation system that sits between the user profile data and the final ad delivery. This intermediary layer orchestrates multiple data sources (user interests, campaign criteria, exploratory content) and synthesizes them into personalized banners, managing the complexity through centralized coordination.
2Measurement precision
If endemic advertising places ads based on user interests, then ad relevance is improved, but content-based creative personalization is not achieved
Solution Approach 1:
The banner creation process is segmented into distinct components: user affinity content selection, exploratory content selection, template selection, and content assembly. Each component handles a specific aspect of banner generation, making the overall complex process manageable through modular decomposition.
Solution Approach 2:
The system employs self-service mechanisms where the banner generation automatically selects and assembles content based on user profile data and campaign criteria without manual intervention. The system serves itself by pulling from pre-configured content libraries and applying automated selection algorithms.
3Productivity
If targeting attributes are used to select campaigns, then ad delivery is optimized, but actual content experience personalization is lost
Solution Approach 1:
The system performs preliminary actions by pre-configuring content libraries with diverse content types and pre-establishing user profiles with detailed preference information. This preparation enables efficient real-time banner generation without losing user preference data, as the information is already structured and ready for rapid retrieval and assembly.
Data Source
AI summary
Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for utilizing a content recommendation system powering a streaming media publisher channel to enhance an ad creative being shown to the user via awareness or performance campaigns. This method allows the platform to present exploratory personalized in-channel content to the publisher platform users in endemic banners that run on the platform which then correspondingly helps drive user reach. An example embodiment operates by implementing personalized content banners that may act as a hook for channel users opening their streaming device, both active and lapsed, to enter back into the channel.