Just in case you were thinking that user-generated content isn’t a big part of YouTube’s future: FailBlog topped CBS this week in terms of YouTube views, despite CBS’s 18.08% boost in official views this past week from the David Letterman affair.
Don’t know what FailBlog is? Here’s a typical offering:
Sphere: Related ContentComments October 10th, 2009
Our friends (and TubeMogul users) at Fog City Wrestling were kind enough to have us on their TV show. Our plug happens after the opening credits, about half-way into the video below. Prior to this, my only glimpse of wrestling culture was watching “The Wrestler” starring Mickey Rourke and Marisa Tomei. These guys are like that, bringing a passion, athleticism and sense of theatrics that you have to be there to see.
Comments June 5th, 2009
We are proud to announce the launch of TubeMogul 2.0! Basically, we integrated our technology with 15 of the top video sites’ Flash players, unlocking rich, standardized data measuring far beyond the metric of video “views,” including per-second audience dropoff, what sites and search terms are referring viewers, audience geography and much more. The best part? These metrics will be free to most users. We hope that this public, census-based data will illuminate viewing behavior online far more than the simple metric of video “views,” which are counted on most sites (including YouTube) as soon as a video stream starts. In a world where panel-based data can yield such wildly divergent numbers, it’s important to have an independent, census-based standard, which we hope to become.
Here’s our CEO’s interview with video pundit/all-star Tim Street (check out his great post “3 Things I Hate About TubeMogul 2.0″):
Also, here’s a nifty “What’s New?” video of us strutting our stuff:
Sphere: Related ContentComments May 27th, 2009
Walt Ribeiro hosts an excellent weekly music lesson show with Revision3 networks. In addition to his musical aptitude, Walt also has great taste in T-Shirts:
Sphere: Related ContentComments March 31st, 2009
We are proud to count many nonprofits and government agencies among our clients, in addition to media companies, marketing agencies and others in the corporate world. One of our favorites: The Greater New Orleans Community Data Center, an information center that facilitates “nonprofit grantwriting, advocacy, planning and decision-making in post-Katrina New Orleans.”
Recently, GNOCDC was featured on CNN, and saw a subsequent spike in traffic. PR-wise, this seems like a dream come true, but it came with a catch: the audience dropoff for the informational video featured on their homepage was far more severe post-CNN mention, suggesting that viewers referred by CNN are less valuable as leads. Here are the numbers:
| % Of Video Completed | Pre-CNN – % Of Initial Audience Still Watching |
Post-CNN – % Of Initial Audience Still Watching |
| 50% | 51.63% | 33.78% |
| 75% | 43.79% | 24.32% |
| 100% | 38.24% | 17.57% |
Comments March 12th, 2009
Recently, we developed TubeMogul InPlay, which allows us to track data far beyond the traditional metric of online video “views,” including how much of a video is actually watched, what the most popular segments of a video are, when a viewer clicks away and much more. While we anticipate releasing more macro-level research as we expand InPlay’s reach, we thought we would share some preliminary results from our beta testing with popular video site Viddler.com.
For the week ending October 10th, we took the top 100 most-viewed and top 100 most-commented videos from Viddler’s leaderboard and measured audience dropoff for each video (that is, second-by-second, the number of viewers that clicked away or kept watching as the video played).
Although both categories of video see audience dropoff over time, the most-commented videos are better at holding viewers, retaining an average of 9.25% more of their audience as time elapses. Interestingly, for top-viewed videos, overall audience size usually peaks at 20% into each video, meaning that many viewers are fast-forwarding part-way before the stream even starts.
Several factors limit the potential for extrapolation to the online video world at large: the small sample size, the fact that only streams from Viddler were tested, and that the data is not historical, but rather a one-time snapshot.
Comments October 21st, 2008
In case you missed it:
Comments September 12th, 2008
