By David Bloom @ TVREV
First of all, sites such as Facebook, Twitter, Buzzfeed and Snapchathave signaled they intend to increase the advertising opportunities they’ll provide through mobile video. LinkedIn is adding native video capabilities. Sites such as Hulu, Brand.Live, Iris.TV and PadSquad are providing all kinds of opportunities for new kinds of video consumption.
By Nanalyze
It claims customers have seen an average increase of 70 percent in video views retention. How? As one IRIS.TV official explains in a company blog: “The information we passively collect during consumer video viewing experiences informs our machine learning, and helps populate more relevant videos going forward. Data creates our intelligent video distribution models, helps clients monetize their video archives, and helps set that content up for increased discovery within the publisher’s own platform.”
IRIS.TV, a video personalization pioneer that enables publishers and marketers to maximize revenue from their owned and operated digital properties by streaming custom programming to individual users across all devices, announced its global expansion to more than 20 countries and the appointment of Nick Marr as Vice President of International Sales.
By John Casillo @ TVREV
IRIS.TV, which specializes in maximizing revenue through video personalization technology, has announced its global expansion into more than 20 countries today.
By Richie Hyden @ Publishers Daily
By definition, artificial Intelligence seems anything but “natural,” but AI tools increasingly give publishers the secret weapons they need to create a more authentic, organic and natural experience for their site visitors.
Los Angeles-based IRIS.TV has been working to solve this problem for a while now, and their AI-based protocol should make publishers very happy.
By making these connections to create playlists that will keep users engaged and watching, IRIS.TV is hoping to create usage patterns that have viewers coming to the publisher’s website directly, rather than relying on Facebook as a launching point.
By making these connections to create playlists that will keep users engaged and watching, IRIS.TV is hoping to create usage patterns that have viewers coming to the publisher’s website directly, rather than relying on Facebook as a launching point.
In the fast-changing TV business, data will be the currency that pays for everything. It will allow for better ad targeting, smarter decision-making and new business opportunities. Figuring out how to adapt to the new world is the most entertaining, and important, story on television. Consider it the ultimate reality show.
By Field Garthwaite @ Multichannel News
Field Garthwaite is CEO and co-founder of IRIS.TV, which provides video personalization and targeting tools for digital media sites.superusers should be the focus of your business. They’re the rock on which a large audience is built, but more importantly, they’re the audience your advertisers want most. They’re your most valuable asset, your defining demographic, your most persuasive ambassadors and your biggest consumers. Never forget the 80-20 rule: 20 percent of your audience will consume 80 percent of your content.
By Paul Heltzel @ TechWorld
Other emerging tech has a steeper learning curve, says Robert Bardunias, co-founder and chief revenue officer of IRIS.TV, who is excited by the inherent entrepreneurial focus of blockchain. “These technologies are growing with real operational business applications in mind from day zero, so there’s no need on the development side to try to imagine case use—they are happening and growing in real time,” Bardunias says.
By Debra Kaufman @ StudioDaily
Machine learning can and does form an important role in a growing number of applications aimed at the media and entertainment business, nearly all of them invisible to the end user. Perhaps the most obvious ones are the applications aimed at distribution of digital media. Iris.TV, which partners with numerous media companies from Time Warner’s Telepictures Productions to Hearst Digital Media, uses machine learning to create what it dubs “personalized video programming.”
By Dade Hayes @ Forbes
One key player in the emerging resistance is IRIS.TV, which provides technology for publishers enabling them to target individual viewers with videos matched to their interests. The premise, and it’s increasingly borne out in analytics, is that viewers are no longer snacking on one 90-second video clip at a time.
By Kelly Liyakasa @ AdExchanger
If we already capture a viewer that came from search or through social video to our article, how do we … [take] advantage of the second view? Iris.tv has helped us a ton here. Once you turn it on, you start to see what affects view-through and what gets readers to that second or third view [without abandoning], which gives us a lot of insight into what kind of content people like to watch and what content we should be making.
By Claire Atkinson @ New York Post
Field Garthwaite, CEO of Iris.TV, which creates video ad initiatives, told The Post in a statement: “Being THE platform benefited YouTube for years in acquiring large audiences, but the lack of control over what content they’re showing ads against is becoming a non-starter for most marketers. Facebook, Snapchat and Instagram may face similar scrutiny in coming months. The winner here: major media companies.”
By Bree Brouwer @ OnlineVideo.net
Iris.TV, a video automation and programming platform, knows the power of AI first-hand. The brand’s customers generally see a 70 percent increase in video views, a 62 percent increase in views/session engagement, and an impressive 10 percent decrease in bounce rates. On top of that, Iris.TV’s 10 biggest clients saw an average 400 percent increase in video views in 2016; one publisher saw a 465 percent view increase in just a week
“AI can provide a level of insight not available with general meta and share data, and removes a lot of the guesswork that goes into video targeting,” explains Fritz Brumder, CEO and co-founder of live streaming platform Brandlive. “AI technology allows marketers to create multiple variations of videos by use cases, audience, message, product, and performance. AI helps marketers better predict outcomes, and makes it possible for brands and publishers to make recommendations based on interests and interactions.”
By Lucinda Southern @ Digiday
Mostly the publisher monetizes through pre-roll on these videos, although Haynes notes there’s still 30-second pre-roll on short videos. As part of scaling its video operation, it’s been working with Iris, a content-recommendation engine that takes signals from viewer behavior to serve the next video to try and get viewers sticking around for longer.
Iris.tv creates ad inventory by surfacing the most relevant video content to the individual reader from the publisher’s archives. As the playlist is customised to the user, it has a higher chance of being viewed to completion, Rohan Castelino, vice-president of marketing at Iris.tv, explained.
IRIS.TV, a video personalization pioneer that enables publishers and marketers to maximize the value of their video inventory by streaming custom programming to individual users across all devices, today announced three top management promotions: Christian De Gennaro from Vice President of Sales to Executive Vice President; Rohan Castelino from Director of Business Development & Marketing to Vice President, Marketing and Ryan Pershad from Sales Director to Director or Sales & Business Development.
By Kelly Liyakasa @ AdExchanger
Richie Hyden, co-founder and COO of publisher video platform Iris.tv, agreed.
“In advertising, they have a clear advantage through [their ad server] DoubleClick For Publishers and reach with agencies, so [the development of YouTube TV] makes a lot of sense,” he noted. “The con is tied to content and how long they can hold leverage over the cable and broadcast publishers with their audience scale and the payment and rev share they provide back to them.”
By Charlene Weisler @ MediaPost
The need to discover new content has grown as both content choices and delivery options continue to increase. IRIS.TV boasts that it uses “artificial intelligence and adaptive machine learning to surface the most relevant video for each individual site visitor on desktop, tablet, mobile phone, even if the video is delivered OTT,” according to Field Garthwaite, co-founder and CEO of the company.