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The Week in Online Video News & Views: 16th March 2014

The Week in Online Video News & Views: 16th March 2014

Twitter hires a serious ex-YouTuber to beef up, and monetize, its video offering, Netflix is helping the UK government track inflation, and TWC is being sued by the city of Los Angeles. More on these and other stories of the week, from ReelSEO.

Survey Finds More U.S. Consumers Use Netflix Over YouTube

Survey Finds More U.S. Consumers Use Netflix Over YouTube

In an RBC Capital Markets survey of some U.S. Internet users, Netflix topped YouTube in a category. It might have topped them in two. However, can this love affair survive the new world order of Netflix paying for their service to receive the necessary network bandwidth? Is now the time for them to raise subscription pricing?

Nearly All Agencies Want Online Video, 40% Want Hulu Inventory

Nearly All Agencies Want Online Video, 40% Want Hulu Inventory

STRATA recently reported that pretty much all ad agencies are interested in online video, but a good portion of them don't see the value, or are unsure of the value. So that means we have some work to do as an industry in terms of showing them some cold hard facts about the effectiveness of online video and advertising. So let's get moving!

Low Cost OTT Throw Down - Roku Stick Enters Ring

Low Cost OTT Throw Down   Roku Stick Enters Ring

The low cost OTT throw down is heating up as Roku re-introduces a stick in hopes to keep people away from Chromecast, or more accurately, to reach those who don't want to navigate with their phone but want a more traditional remote control for their TV content. So will others enter the fray soon? By year end will we see a slew of low cost OTT options?

Netflix and YouTube Dominate Downstream Bandwidth, Fixed and Mobile

Netflix and YouTube Dominate Downstream Bandwidth, Fixed and Mobile

Netflix and YouTube share 50% of all fixed downstream Internet traffic, and 23% of mobile. Netflix is way ahead at 31.6% of the bandwidth share, with YouTube at 18.7%. Facebook, with more than a billion users, surprisingly takes up only 1.3%.

Where are Millennials Watching Video Content? Not on TV. [REPORT]

Where are Millennials Watching Video Content? Not on TV. [REPORT]

If Millennials are watching TV content, but not on TVs, then where are they watching TV content? Plus, how does one market to Millennials if TV is not where they are watching video? TiVo's latest survey results shed some light on all of this and more. We also give some logical tips on where you might want to market to Millennials.

House of Cards is Back and Here's Why You Should Give a Damn

House of Cards is Back and Heres Why You Should Give a Damn

Never mind Valentine's Day, fans of Frank Underwood have been waiting months for the return of 'House of Cards', the Emmy-award winning Netflix series. It's back tomorrow, and even if you don't intend to watch it, you should know why it's such a trailblazer.

Online Video News And Views 12th February 2014

Online Video News And Views 12th February 2014

Mobile video is growing faster than any other sector, Chromecast is now letting you play embedded YouTube videos, and Virgin Atlantic staff are using Google Glass to meet and greet passengers. Read about these, and other news snippets from the world of online video, from ReelSEO.

Computer-based Video Consumption Climbed 157% in Past Five Years

Computer based Video Consumption Climbed 157% in Past Five Years

Five years on, computer-based video consumption is going big time. We all knew it would. Nielsen provides some nice insight into not only who is watching it but also on what device and a bit of what kind of content they're watching. So jump on and enjoy the ride.

Deep Learning Set to Help you Find More Movies at Netflix

Deep Learning Set to Help you Find More Movies at Netflix

Netflix is putting a lot of time and energy into modeling neural networks and so I strip out the amazing technical jargon and look at it from a "what does it do for online video and video viewers" as opposed to a "how many GPUs does it take to train an artificial neural network in under a week?" See, why I took the other approach?

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