Online video provider Ooyala has launched a new content discovery technology that drove four times the amount of consumer engagement with videos during its pre-release – including an increase in viewing periods, completed videos and revenue.
The technology enables publishers to increase monetization of multi-screen video by using proprietary algorithms, machine learning and collaborative filtering to deliver personalized content recommendations. It leverages data from almost 200 million monthly viewers who watch Ooyala-powered videos on the Web.
The company’s global user base collects more than two billion analytics everyday, which provides insights into viewer behavior and trends. The content discovery engine applies real-time analytics processing to this and other inputs to offer continuous content recommendations that are locally, personally and socially relevant. The recommendations are integrated into the viewing experience, which leads to an increase of revenue streams from advertising, video-on-demand or paywall transactions.
“Forward-thinking content providers have figured out that success hinges on their ability to turn analog dollars into digital dollars,” says Mike McGuire, vice president, research, media industry advisory services for Gartner, Inc. “Capturing the attention and imagination of consumers engaging with TV content in new ways requires highly personalized video experiences driven by real business intelligence, where big data plays a major role.”