IRIS.TV is a personalized video programming and decisioning system that allows video publishers and content owners to generate more video views in a continuous playback experience. The software is designed to increase consumption and simplify operations for web and mobile video distribution, matching content based on audience preferences and user interactions. The company’s core product Adaptive Stream™ is a personalization engine that delivers relevant content in a television-like experience, personalized to each viewer’s interests.
IRIS.TV's clients and partners include video publishers, video players, and advertising technology companies. After publishers install IRIS.TV into their video players, their viewers watch more, watch longer, and watch more often.
How it works: Powered by Adaptive StreamTM, IRIS.TV integrates with your video player and utilizes adaptive machine learning to programmatically deliver the right video content to the right viewer continuously and in real time.
Viewers enjoy an uninterrupted and immersive experience where they easily discover the content they love.
IRIS.TV has proven to engage audiences and increase viewership on publishers sites and apps. Publishers increase their video ad inventory at a fraction of the cost of traditional CPC and other audience acquisition and paid media strategies resulting in increased revenue from each viewer and improved ROI across all platforms and devices.
Specialties: Video Recommendations, Personalization, Programmatic Content Delivery, Brand Experience, Business Rules, Audience Engagement, Cross-platform profiling, Ad Optimization