Monday, May 12, 2008

Media Consumption: TV Leads, Internet Grows


Adult consumers in the United States still spend more time in front of televisions than they do online, according to a survey sponsored by the Television Bureau of Advertising industry association and conducted by Nielsen Media Research.

Survey respondents ages 18 to 34 spent over an hour per day more watching TV than they spent more time watching TV than they did in online pursuits, the study found. The gap between time spent online and time spent watching TV is closing, however.

In January 2008, TVB found that 18 to 34 year-olds spent 60.6 minutes more watching TV per day (206.0 minutes) than they did online (145.4 minutes). That is down from June 2006, when the gap was 137.4 minutes: 246.7 minutes for TV and 109.3 minutes online. Moreover, TV time decreased while Internet time increased.

A separate study by JupiterResearch and Ipsos Insight reported results in more discrete age groups and found that TV use actually trailed Internet use among the youngest consumers. As of August 2007, US consumers in the 18 to 24 year-old range went online an average of two more hours per week than they spent watching TV.

Neither study specifically addressed multitasking, which can be significant, especially among younger consumers.

"Young people rarely use just one medium at a time," says Debra Aho Williamson, senior analyst at eMarketer. "Often, when they are online, they’ll have TV or music on in the background."

One might be skeptical about a couple elements of both surveys. The TVB study suggests that adults between 18 and 34 spend 115.6 minutes a day listening to the radio.

The Jupiter and Ipsos survey suggests adults 18 to 24 spend three hours a week listening to the radio.

My totally unscientific experience is that none of my 18 to 24 year olds spend any time at all listening to the radio. For similar reasons, I am somewhat skeptical about "time spent in front of the TV."

No comments:

Costs of Creating Machine Learning Models is Up Sharply

With the caveat that we must be careful about making linear extrapolations into the future, training costs of state-of-the-art AI models hav...