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YouTube's top 1,000 channels average $23K each month in ad revenue

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Re: YouTube's top 1,000 channels average $23K each month in ad revenue

#13
Well, what I do not understand is the 2$ eCPM, that is thrown in in the comments.

If the average 23k$ hold true for the Top 1000 and if the 2$ eCPM holds true, why did the 5.000th channel make an estimated 57,371.70$? (28685850 AdViews * 2$ eCPM / 1000)

What am I getting wrong here?

Edit: The numbers are totals... OK, I get it. ;-)

Re: YouTube's top 1,000 channels average $23K each month in ad revenue

#15
post #5

The channels follow a power law. I got the number of views from here ( http://socialblade.com/youtube/top/5000 ) and plotted them: http://i.imgur.com/X6nEL.png If the $23k average for the top 1k is correct, then only the top 250 or so actually make $23k a month or more. At that line are some pretty big channels, like Husky Starcraft and big bands like Kesha and Muse. In which case, this doesn't seem like a lot of mon…

[deleted]

Re: YouTube's top 1,000 channels average $23K each month in ad revenue

#16
post #15
post #5

The channels follow a power law. I got the number of views from here ( http://socialblade.com/youtube/top/5000 ) and plotted them: http://i.imgur.com/X6nEL.png If the $23k average for the top 1k is correct, then only the top 250 or so actually make $23k a month or more. At that line are some pretty big channels, like Husky Starcraft and big bands like Kesha and Muse. In which case, this doesn't seem like a lot of mon…

[deleted]

The way people normally plot these kinds of distributions is on a log/log graph (to be clear: where both axes are log'd, not where only one of the axes is doubly-log'd).

Re: YouTube's top 1,000 channels average $23K each month in ad revenue

#17
post #5

The channels follow a power law. I got the number of views from here ( http://socialblade.com/youtube/top/5000 ) and plotted them: http://i.imgur.com/X6nEL.png If the $23k average for the top 1k is correct, then only the top 250 or so actually make $23k a month or more. At that line are some pretty big channels, like Husky Starcraft and big bands like Kesha and Muse. In which case, this doesn't seem like a lot of mon…

I charted the LOG(video views) here:

http://i.imgur.com/WubeX.png

What's really interesting is that LOG(LOG(video views)) looks pretty much the same:

http://i.imgur.com/NnSrA.png

So I'm not sure what law the distribution follows, but the top players get a TON more money than the rest. The top 211 players make more than the rest 4789.

EDIT:

It also means that the top player universalmusicgroup makes $485,707/month, and the 1000th player playboy makes only $7,880/month (assuming payouts are proportional to the views, which isn't perfectly correct)

Here's the table:

      universalmusicgroup    $485,707
      machinima              $261,804
      JustinBieberVEVO       $206,638
      RihannaVEVO            $198,898
      expertvillage          $182,052
      LadyGagaVEVO           $160,885
      AtlanticVideos         $147,373
      EminemVEVO             $145,593
      RayWilliamJohnson      $141,569
      IGNentertainment       $139,634
      failblog               $134,727
      UltraRecords           $134,724
      muyap                  $126,330
      smosh                  $124,425
      shakiraVEVO            $122,633
      hollywoodrecords       $121,395
      FueledByRamen          $113,681
      beyonceVEVO            $109,576
      barelypolitical        $104,784
      collegehumor           $103,772

Re: YouTube's top 1,000 channels average $23K each month in ad revenue

#18
post #16
post #15

Earlier quoted context omitted.

[deleted]

The way people normally plot these kinds of distributions is on a log/log graph (to be clear: where both axes are log'd, not where only one of the axes is doubly-log'd).

That's not true, only if the distribution in both directions is exponential, which is not the case here. The horizontal scale is just the rank, which is linear.

Re: YouTube's top 1,000 channels average $23K each month in ad revenue

#19
post #18
post #16

Earlier quoted context omitted.

The way people normally plot these kinds of distributions is on a log/log graph (to be clear: where both axes are log'd, not where only one of the axes is doubly-log'd).

That's not true, only if the distribution in both directions is exponential, which is not the case here. The horizontal scale is just the rank, which is linear.

Interesting; FWIW, I am going based on the comment "the channels follow a power law" from the grandparent post. I was under the (possibly mistaken) impression that these are normally plotted using log-log; would you be willing to explain what I am getting wrong? (I am totally happy to believe I'm missing something btw, and I certainly did not anticipate the person I responded to deleting their post...).

(edit: Further, looking at the graphs, it certainly seems like they would do well on a log-log chart; also, I would have expected the behavior that was described in the deleted post from a distribution of this sort: specifically, where further introductions of logarithms to the same axis did not affect the result, as they were asymptotically identical.)

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