IRIS.TV Video Recommendation Engine Shown to Create 45% Uptick in Online Viewership

A case study orchestrated by IRIS.TV showcased a 45% jump in digital video viewership by utilizing an adaptive video recommendation engine.

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Video Recommendation Engine, Digital Video, Web Video, Video personalization
Iris.TV's Video Recommendation Engine is already proven to increase video views by 40% on web and mobile devices. Once IRIS.TV was integrated with OVGuide's iOS app we were able to surpass these numbers and see a significant jump in engagement.

Los Angeles, CA (PRWEB) February 13, 2014

IRIS.TV, the world’s leading video recommendation engine is proud to announce the results of a recent integration and case study conducted with OVGuide, aimed at increasing user views for short form video.

OVGuide partnered with IRIS.TV to create an engaging TV-style stream of their short-form content to increase overall video views and ad impressions. IRIS.TV created a custom set of recommendations for OVGuide that created a 45% rise from video views from the initial video to the second video. The integration also allowed OVGuide to receive new analysis and information as to the behavioral data of how their viewers consumed video content.

Adaptive Stream™, IRIS.TV’s innovative software is designed to increase revenue and simplify operations for web and mobile video distribution by matching personalized content and ads based on audience preferences. Adaptive Stream™ brings relevant content to viewers through a television-like experience that is custom-tailored to each viewer’s interests.

"IRIS.TV's Video Recommendation Engine is already proven to increase video views by 40% on web and mobile devices. Once IRIS.TV was integrated with OVGuide's iOS app we were able to surpass these numbers and see a significant jump in engagement. We were thrilled to see such strong results," stated Field Garthwaite, CEO, IRIS.TV.

The study comes at a revolutionary time in the video marketplace. As the ecosystem continues its rapid growth, viewers are seeking immersive lean back experiences across devices that leverage more traditional viewing behaviors. OVGuide’s engaging short-form experience has helped increase users’ total time spent with the app. OVGuide has created a complete app for people who love movies and want to keep up to date about the newest information about films. The integration itself showcases the capability of adaptive video recommendations to directly bring forth robust engagement. The 45% increase brings to light direct results relevant to content publishers across the board.

Speaking on behalf of the study Tom Dodson, VP of Operations at OVGuide said, "After integrating IRIS.TV in our iPhone app, our short form content became a personalized playlist experience that increased total views per user and created a more engaging user experience."

About IRIS.TV:

IRIS.TV Inc is a video recommendation service that allows video publishers and content owners to generate more video views and serve targeted ads in a continuous playback experience. The software is designed to increase revenue and simplify operations for web and mobile video distribution, matching content and ads based on audience preferences and user interactions. The company's core product Adaptive Stream(TM) delivers relevant content in a television-like experience, personalized to each viewer's interests. For more information, please visit http://www.iris.TV and follow us on twitter @iris_TV.