David Burch is the Marketing Manager for TubeMogul, the first online video analytics and distribution company to serve online video producers across a variety of video serving platforms. His guest post today is a deeper look at one of the many statistical analysis pieces TubeMogul publishes on their company blog.
Here at TubeMogul we recently authored a study answering the following question: throughout the life of a video, do most views occur in the first days and weeks or are they distributed randomly over time? Since we track millions of videos, we took a random sample of 10,000 videos, hired a statistician and found a clear answer in the aggregate data: video viewership peaks early.
In that, we found that on average, videos are quite time-sensitive. Trends pointed elsewhere, such as “evergreen” (non-time sensitive) content always fetching views, or videos randomly “going viral,” seem more of a rarity than an underlying trend in the data.
While we were pitching the story to Mashable, Mark “Rizzn” Hopkins asked a cutting question: what if you broke the results down by video category (i.e. “How-To”)?
Good question. Here are the results we broke down for him and the readers of Mashable:
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