Saturday, December 10, 2005

I'm still here--and so is internet radio

Sorry that I've been silent lately. Trying to stay on top of the grading and such for the end of the semester. I'm actually doing pretty well. Spreadsheets are all ready to go--mostly just plug in the final exam grades and I'll be set to go.

I don't want to be too delinquent in my "audio prof" postings, though. So, here's a little bit of info.

I must admit that I have never viewed myself as much of an internet radio guy. But, as I got to think about this blog post, I suppose I am. I have been a subscriber to RHAPSODY for years. And, although I have mainly used it to listen to specific albums--I have started to listen to their radio station options as well.

And, it seems like many others are doing some sort of internet radio listening. Check out this Arbitron data from the Center for Media Research at MediaWeek.

Average US Weekly Online Radio Audience, Persons 12+


Monday-Friday 6AM-7PM

Monday-Sunday 6AM-Midnight


Cume Persons

Avg 1/4-Hour Persons

Cume Persons

Avg 1/4- Hour Persons

America Online's AOL Radio Network

834,500

169,000

1,443,100

114,800

Clear Channel Online Music and Radio

655,300

101,200

831,600

57,000

Live365

356,500

50,600

509,200

30,300

Microsoft's MSN Radio &WindowsMedia.com

474,000

92,200

581,700

50,800

Yahoo Music/LAUNCHcast

1,541,700

312,300

2,482,900

195,200

TOTAL: All Five Networks

3,672,200

725,300

5,629,000

448,100

Source: ComScore Arbitron, September 2005

2 comments:

Samuel D. Bradley said...

Rob, I am addicted to LAUNCHcast. It is always on in my office, and I cannot imagine work without it. I am far too unorganized for CDs. The interesting development is that my desktop compter is basically a $2,000 radio, which seems a bit silly.

drdon said...

I like launchcast as well. It's the nearest thing to how the radio experience was for me as a kid. You never knew what would come on and that was why it was cool. Also worth checking out (if you haven't already)is the music genome project at http://www.pandora.com/. Kind of a neat radio model for learning listener preferences based on characteristics of the music.