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StreamOne announces AI ads at Streaming Media East

Following last month's announcement on Server-Side Ad Insertion at NAB Show, StreamOne continues to innovate with the release of AI personal recommendations and AI smart ads in conjunction with San Francisco based LiftIgniter. StreamOne will be demoing

Utrecht, Netherlands(15 May 2017)

StreamOne Teams up with LiftIgniter for AI Personalized Recommendations and Ads

May 15, 2017


Last year, worldwide online ad revenue grew to record highs, but 99% of this growth1 went to just two companies, Google and Facebook. It is time other publishers get the tools to be able to profit from this growth as well.

StreamOne has joined forces with the Machine Learning experts at LiftIgniter to even the playing field by offering the same technologies that enable Google and Facebook’s quick growth.

Machine Learning

Google and Facebook have attributed much of their success to Machine Learning (ML) and Artificial Intelligence (AI). They used ML to increase engagement by showing the perfect content recommendation, personalized for each single user, even for cold-start users while at the same time increasing ad frequency, relevancy and user experience.

StreamOne together with LiftIgniter launched a range of Machine Learning oriented services that are designed to increase engagement across the board, and to jump start growth.

StreamOne Founder and CEO Ruud van der Linden: “Until recently, really good machine learning technology was only available to large companies such as Google and Facebook. The fact that this technology is an important part in their business strategies shows in their results and strong, continued revenue growth. By introducing these products to other companies we empower publishers, broadcasters and other content owners and give them the means to benefit from the world wide online advertising growth as well.”

LiftIgniter head of business Adam Spector: “Machine intelligence is like a golden shot to your company – you think you have optimized your user experience and then you turn on machine learning and see an immediate 80% improvement in engagement, clicks, and conversions. Suddenly your formerly static site and app has become intelligent and dynamic – reacting in real-time to each user impression. We helped build this at Google. We started LiftIgniter to let everyone else have access to similar technology and stay competitive.”

Smart Recommendations

Content discovery and recommendations play a pivotal part in keeping users engaged. Often, recommendations are made entirely based on related content or tags instead of the content that is actually interesting and relevant to a specific user.

StreamOne, together with LiftIgniter, enables effective Machine Learning capabilities available to customers through their joint new product: Discover AI.

1 According to IAB study.

This product makes sure that users, after completing a video, automatically receive the best next content recommendations or autoplay into the best next video. This is based on the publisher's content inventory, the metadata stored therein, and hundreds of user signals, data crosses, and proprietary information that is analyzed in real-time by LiftIgniter's machine learning. This works even for unknown “cold start” users. Smart Video Recommendations averages 80% improvements in video engagement – a/b tested and proven.

These recommendations will automatically be added within the video player. Right now, they are available out-of-the-box with StreamOne and LiftIgniter's Smart Video Recommendations.

Smart Ad AI

In April this year at the NAB Show in Las Vegas, StreamOne presented its True Server-Side Ad Insertion solution as a part of their Smart Ads suite.

Right now, together with LiftIgniter, StreamOne presents Smart Ad AI. This product decides whether or not to show a (preroll) advertisement to a specific user, based on content and user (meta)data, completely personalizing the user experience, resulting in higher engagement thanks to a better user experience.

By combining LiftIgniter's machine learning platform with StreamOne's video platform, a number of important extra data points are gathered in order to maximize the effect of the machine learning algorithm. The service can be used with all types of categories and is available with both client and server-side ad insertion.

A TV like experience with all the online benefits

It is the first time that the combination of personalized Ads with Machine Learning and Server-Side Ad Insertion has been offered to the market. Though these technologies are quite subtle on their own, they do have a major impact, especially when combined, and this might even change the online video ad world completely. Imagine a TV like experience with all the online benefits. That is exactly what this is.

About StreamOne

Founded in 2012, StreamOne has grown to a be one of the most innovative market players in online video with its easy to use, flexible and pre-integrated video platform and player. With an experienced and enthusiastic team, StreamOne delivers state-of-the-art, scalable solutions for large and small publishers, broadcasters and digital agencies wanting to publish and monetize video in a smart, easy and reliable fashion. Customers include, among others, Ericsson, Telegraaf Media Group, MyChannels, Tweakers, the Metropole Orchestra and over 50 different broadcasters. StreamOne has offices in Amsterdam/Utrecht, The Netherlands and Toronto, Canada.

About LiftIgniter

Founded in 2014, LiftIgniter has grown to become one of the preeminent providers of machine learning personalization services. They came out of Google’s machine learning research group where their co-founder was one of the core members of the team that created YouTube’s real-time personalization engine. LiftIgniter is now on billions of page views a month averaging over 80% improvements. They personalize every digital touchpoint – web, app, email, search for every type of content (videos, articles, images, ads) across every language.

Note to the editor

Sites and social media: recommendations-and-ads/