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
#2In a hits based industry the 'average' isn't very interesting. What's the variance across those top 1000 channels?
I'm really curious to see some more data here, I have a feeling that the disparity is severe.
Re: YouTube's top 1,000 channels average $23K each month in ad revenue
#3What is the distribution like among the top 1000 channels?
Presumably the top of the top 1000 channels far outproduce the bottom, just like the top 1000 far outproduce the rest of youtube. Given such a distribution, what are the top few channels earning? 100,000 a month? 1,000,000 a month? Even more?
Other interesting questions: How much of that is profit? Relatedly, does it cost a prohibitive amount to have a highly successful youtube channel? Does amount spent on production each month correlate with amount earned, or do consumers care much more about the content than the production quality?
What is the median income of the top 1000 channels? What's the overall median income of active youtube partners? What's the median income of channels produced (primarily) by a single person?
Some of these questions should be answerable by looking at available stats, like views for the top couple of channels versus the lower end of the top 1000. (Are the actual channels in the top 1000, preferable ranked, available somewhere?) I'll see if I can answer any more of them in the morning...
Re: YouTube's top 1,000 channels average $23K each month in ad revenue
#4In a hits based industry the 'average' isn't very interesting. What's the variance across those top 1000 channels? I'm really curious to see some more data here, I have a feeling that the disparity is severe.
This looks way more like a long tail than a bell curve.
Pick a channel, multiply views by a ~$2.00 mixed CPM. It takes around 11.5m views to make $23k.
It would be interesting to know if this data includes PSY, who accounts for nearly a million dollars in the last 30 days alone.
Re: YouTube's top 1,000 channels average $23K each month in ad revenue
#5The 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 money.
Re: YouTube's top 1,000 channels average $23K each month in ad revenue
#611.3 Billion Views (by top 1000 channels)
23 Million Ad revenue (by top 1000 channels)
2$ ECPM.
Re: YouTube's top 1,000 channels average $23K each month in ad revenue
#7The 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…
That is an awesome plot. That combined with a combined with a tenancy plot to determine what sort of churn there is in the top 500 and its mix would really illustrate what sort of 'opportunity' YouTube is.
Re: YouTube's top 1,000 channels average $23K each month in ad revenue
#8Trying to make sense of a power law distribution using average of the head is an interesting crutch, but a fairly crude one.
What are other ways to intuitively understand power law distributions? Where are the raw data for this one?
Re: YouTube's top 1,000 channels average $23K each month in ad revenue
#911.3 Billion Views (by top 1000 channels) 23 Million Ad revenue (by top 1000 channels) 2$ ECPM.
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Re: YouTube's top 1,000 channels average $23K each month in ad revenue
#10In a hits based industry the 'average' isn't very interesting. What's the variance across those top 1000 channels? I'm really curious to see some more data here, I have a feeling that the disparity is severe.
Long tail risks makes avg/var/standard distribution stuff useless. Best measure here would be the median income (50th percentile - or the 50th person out of 100).
Same thing with wealth distribution and taxes - averages are pointless since 1 rich guy + 99 poor guys will have an average of ~1/100 the rich guy (which is still a lot of money) - even though the poor guys have $0 in assets (usually negative equity because of debt).
The median of that distribution would be $0 - hence providing a better representation of actual probabilistic income/taxes.