Residents of single-family housing consume less, perhaps less than seven hours a week, according to Parks Research. In large part, that is because residents of single-family homes watch more of their video on a television, using either broadcast TV services or subscription video services.
Thursday, July 31, 2014
U.S. Consumers Watch 7 to 8 Hours a Week of Online Video
U.S. consumers living in apartments or condos consume eight hours of online video a week, mostly on personal computers or tablets (about six hours), but with a significant percentage (perhaps two hours a a week) watched on mobile devices as well.
Residents of single-family housing consume less, perhaps less than seven hours a week, according to Parks Research. In large part, that is because residents of single-family homes watch more of their video on a television, using either broadcast TV services or subscription video services.

Residents of single-family housing consume less, perhaps less than seven hours a week, according to Parks Research. In large part, that is because residents of single-family homes watch more of their video on a television, using either broadcast TV services or subscription video services.
Gary Kim was cited as a global "Power Mobile Influencer" by Forbes, ranked second in the world for coverage of the mobile business, and as a "top 10" telecom analyst. He is a member of Mensa, the international organization for people with IQs in the top two percent.
Subscribe to:
Post Comments (Atom)
Yes, Follow the Data. Even if it Does Not Fit Your Agenda
When people argue we need to “follow the science” that should be true in all cases, not only in cases where the data fits one’s political pr...
-
We have all repeatedly seen comparisons of equity value of hyperscale app providers compared to the value of connectivity providers, which s...
-
It really is surprising how often a Pareto distribution--the “80/20 rule--appears in business life, or in life, generally. Basically, the...
-
One recurring issue with forecasts of multi-access edge computing is that it is easier to make predictions about cost than revenue and infra...
No comments:
Post a Comment