iTunes Sales Not 'Collapsing' After All
john82 writes "Earlier this month we had a report from Forrester, based on a random sampling of 2,000 credit card accounts, that purported to show that iTunes sales were crashing. Now comes another survey from Reston, VA-based ComScore which indicates the exact opposite. ComScore's report which is based on actual iTunes sales shows a 84% increase during the first nine months of this year compared to the same period last year. Meanwhile the author of the Forrester report, Josh Bernoff, noted in his blog yesterday that they shouldn't be pummeled just because everyone took what he wrote and ran with it."
Meanwhile the author of the Forrester report, Josh Bernoff, noted in his blog yesterday that they shouldn't be pummeled just because everyone took what he wrote and ran with it."
Well, that is why people should be responsible for their reporting. In my business, when you report something, you stand by it. If you present data or a theory with the suspicion that it is incorrect, that is fraud in my line of work. Seriously though, did you *really* think that a sample size of just over 1000 purchases on credit cards obtained through a back channel source is a reliable sample size for the number of iTunes purchases? If I correctly recall, Apple announced back in February that they were selling about 3 million songs/day and if the current estimates of increases on the order of 84% are correct, your sample size is woefully under-representative. Thats just high school statistics by the way...
I am not saying that you should lose your job over this one, but this should be a tacit reminder of how important good reporting is and if you are beyond your means or competence on a particular story or analysis, go find some help before you publish it, do some fact checking and be more careful with stories that can have a significant impact on companies and individuals.
Visit Jonesblog and say hello.
I stand by this man as long as he isn't proven wrong.
Sounds like just one more example of one's desired conclusion ultimately altering the testing conditions and results to match. Seems to be almost a disease in this country.
8==8 Bones 8==8
I think it's obvious he posted that on purpose to give the media an excuse to run another round of "piracy is killing the music industry!" and then cleared it up later, which btw also results in more people paying attention to the actual truth that they're doing better so people feel more inclined to use their growing service. Who the hell runs a sample size that low anyway? And is it just a coincidence that because of the low sample size, the results were so drastically different than what's really going on? Survey says....no
Google's Super Secret Search Algorithm: SELECT @search_results FROM internet WHERE @search_results = 'good'
You mean these guys? I'm not sure we should take this report at face value.
2 words..
No shit.
ComScore. With a reputation like theirs, it must be true!
"When life gives you lemons, don't make lemonade. Make life take the lemons back!" -- Cave Johnson
It's his story. If he didn't mean it, he shouldn't have put it out there.
Typical of these "research" companies, though. Completely typcial.
Technology sector analysts, the likes of Forrester and Gartner, are essentially paid mouthpieces for their biggest clients. Whether pumping your own products or badmounthing the competition, you can count on these guys to earn their money with totally bogus conclusions.
Find a big analyst company that will admit that Itanium is a colossal disaster, that businesses don't want and don't need Vista, that HP's supply line trouble and incompetent management are sinking the company (particularly during the Carly years), that Oracle is terribly insecure. You won't, because they all have contracts with Intel, Microsoft, HP, Oracle, etc. But they won't hesitate to beat up on Sun (how many times have they called for McNealy's resignation), AMD, Apple, and predict their doom*, and others that don't spend the kind of money on various analysis contracts.
So sure, iTunes sales are collapsing (according to Forrester), but nobody will call Zune a turd. It's all in a day's work.
*disclaimer: I might be considered a fanboy of one of these companies, and it's not Apple
I knew this... I purchased a few TV Shows over the iTunes this year, 3 to be exact. So I estimate that iTunes grew by like at least 300%.
For that matter, the Forrester data was based on credit card payments on the iTunes Store.
It totally ignored the little lime-green $15 gift cards that litter the checkout stands of every Target, Best Buy, CVS Pharmacy, and Kroger in the US. Each one of those is 15 songs, and fifteen purchases that don't register as credit card transactions.
The US free market: two halves of a government-granted duopoly are free to set the market price.
comScore is also known for installing spyware to monitor all traffic (Market Research Company Secretly Installs Spyware)
Which is apparently ok because they are getting REAL data from it!
I ask again: from whom did they get this data?
Is buying, selling, or redistributing such data a crime in the US, or CA in particular?
If not, why not? I'd like to make it crime with a nasty punishment.
If so, has the investigation started yet?
Grrrr.
He concludes with this statement in his blog:
To a degree, he has a point. With Apple's secrecy, articles like these are run without having all the facts. Sensationalism becomes rampant. Then he has to go and say "In the research business we like facts." All too often we read more about speculation rather than facts from these research companies. They complain secretive companies like Apple or Google don't give them enough information, but I wonder where the actual "research" in research business has gone.
hackers of the world unite!
You can clearly see an up trend in the "iTunes" search:
a ll&date=all
http://www.google.com/trends?q=itunes&ctab=0&geo=
Now just imagine sales going along with that trend.
... but at least slapped about head and shoulders. I mean, c'mon... if I did a survey on online porn based on a random sampling of 2,000 credit card accounts, I might conclude that sales of digital whackery were crashing out. But any hairy-palmed monkey boy can see that's not the case.
...That they were clearly drawing.
In his blog Josh claims that the original Forrester report said "with the number of transactions we counted it's simply not possible to draw this conclusion."
Puh-leeze...
sig has been sent away for a few small repairs...
A few readers commented when the story was posted yesterday that they were wondering "How" the credit card data was obtained. It seemed from yesterday's story and the posts that Forrester Research had obtained credit card detailed transaction lists (w/o the credit card numbers, etc, I hope!).
So, I would like to ask, how was the data obtained and is this level of detailed information avilable for legal purchase? I'm just curious as to how much information is available about credit card puchases.
He should take a hit on credibility. He maybe should be fired. But I agree that physically injuring him is probably more than he deserves.
Avoid Missing Ball for High Score
I bought iTunes music for 2 years on my Visa. Then switched to my AmEx at the beginning of this year. I'm not saying our boy, Josh Bernoff, was looking at my credit card... But what exactly was he looking at and how much room for error is there when using 2000 credit card samples to determine a pattern out of 1.5 billion song purchases?
You can get more good music than you can listen to with Soulseek,MP3 blogs and bit torrent.
There are other ways to get it too!
iTunes Napster and AllOFMP3 and those other pay sites are a ripoff.Plus they don't have lotsa OOP vinyl rips.
No DRM high bitrate and free! What more could you want?
I've been reading Forrester, Jupiter, IDG and other pundit research papers for over a decade. They're almost always just rationalizations of some preconceived notion, some foregone conclusion that their methodology reinforces. I don't know if they plan it, or if marketing people just can't tell science from "Tang". But I don't know why anyone reads these reports expecting anything but a blast of conventional wisdom.
Which is, of course, why everyone just takes what they write and run with it. That's the measure of success at marketing research peddlers. It's the CIO self-perpetuation. One reason why so little ever gets done right, but so much does get done without being called wrong. To blame their own market for taking them seriously when they ought not be is finally a whisper of honesty from these chattering weasels. I expect them to fix that in the next release.
--
make install -not war
Actually, the sample size of 1,000 was probably fine, or at least it would have been if they had used a truly random sample of credit cards. However, it is evident from their results, that they didn't. The failure was in trying to extrapolate results from data that wasn't statistically valid.
to find another job to lose
putting the 'B' in LGBTQ+
Ahehe. You earned that "Flamebait" fair and square, fat gekko
Where your information belongs to everyone but you.
putting the 'B' in LGBTQ+
"We're in ur cr3dit cardz... checking out ur iT00ns purchasez"
From the testimony of Mr. Marc E. Kasowitz before the US Senate Committee on the Judiciary:
& wit_id=5486
One particularly effective illegal strategy involves the
following scenario: the short-selling hedge fund selects a
target company; the hedge fund then colludes with a so-called
independent stock analyst firm to prepare a false and negative
"research report" on the target; the analyst firm agrees not to
release the report to the public until the hedge fund
accumulates a significant short position in the target's stock;
once the hedge fund has accumulated that large short position,
the report is disseminated widely, causing the intended decline
in the price of the target company's stock. The report that is
disseminated contains no disclosure that the analyst was paid to
prepare the report, or that the hedge fund dictated its
contents, or that the hedge fund had a substantial short
position in the target's stock. Once the false and negative
research report -- misrepresented as "independent" -- has had
its intended effect, the hedge fund then closes its position and
makes an enormous profit, at the expense of the proper
functioning of the markets, harming innocent investors who were
unaware that the game was rigged, and damaging the target
company itself and its employees.
http://judiciary.senate.gov/testimony.cfm?id=1972
Student exercise: Compare and contrast with the movement of AAPL stock shares before and after this report came out.
That's almost like choosing whether to get your truth from a sleaze bag or someone else's whore.
Here are some more facts; I know several people who own iPods who have never purchased anything from iTunes. Maybe someone should extrapolate from there and say that iTunes has zero sales.
This issue is a bit more complicated than you think.
I felt sorry for Apple after yesterdays story and bought three songs last night from itunes. I feel so used!
Welcome to the "New Responsibility" where NOBODY is responsible for ANYTHING that they do!
This guy isn't responsible for getting his data completely wrong on the iTunes story.
The government isn't responsible for getting it wrong about WMD, having enough armor for our troops, for Katrina relief efforts or for covering the defecit that they keep increasing.
The editor isn't responsible for his writer faking articles.
And Microsoft isn't responsible for all of the holes in their security.
Heck, I'm not even responsible for the spelling errors in this post! That's my keyboard's fault, obviously!
Yes, friends, welcome to the "New Responsibility." New from CronCo... and with it you get a Veg-O-Matic, a Chia Pet and a free iPod... IF you subscribe now............!
Operators are standing by, but YOU will be responsible for YOUR payments for those "free" goodies...!
And that's what the NEW Responsibility is really all about...
Lee Darrow, C.H.
For example, if your sample is 1000, your 95% confidence interval is 1/sqrt(1000) = +/-3%. So if your 1000 samples showed 250 occurrences, you would know that it's 95% likely that the frequency of occurrence is between 22% and 28%. So the real frequency could be between 220 occurrences or 280 occurrences per thousand. No big deal for year to year comparison purposes. Worst case a 50% drop in sales is measurable because one year you could've been low (220), and the next year high (280/2 = 140), and the change is still statistically significant (outside your confidence interval).
For rare phenomena, this runs into a problem. Say the frequency of occurrence is 0.1%. You take 1000 samples and you measure 1 occurrence. The neophyte statistics student will say "Cool, I meansured 1 occurrence +/- 3%, so I have 95% confidence that the actual rate of occurrences is between 0.97 per thousand and 1.03 per thousand." Unfortunately, that's wrong.
The confidence interval is based on the percentage you measured. Your confidence interval says there's a 95% chance that the actual frequency of occurrence lies between 0% and 3.1%. There is a huge, huge difference between 1 incident in a thousand and 31 incidents in a thousand, especially if you're trying to compare between two samples. One sample (year 2005) you might get 25. Next sample (year 2006) you might get 5. These are both within your confidence interval, but if you're not careful you would erroneously conclude that you have 95% confidence that sales plummeted to just 20% that of the previous year.
Put simply, if you want to accurately measure rare phenomenon, your sample size has to be large enough that your confidence interval is significantly smaller than the rate at which that phenomenon occurs. If iTunes sales account for 0.1% of all credit card sales (which I think is a very high estimate) and you want to compare year to year changes, you probably want an accuracy of at least 1/10th the 0.1%, or a margin of error of +/- 0.01%. Your sample size needs to be large enough that your confidence interval is around the 0.01% range. That is, you need a sample size of a 100 million credit card transactions.
Deja vu? Didn't this happen last year too? The Christmas shopping season press-push of an obviously flawed story claiming iTunes popularity was crashing? It seemed then a submarine by someone to depress iTunes sales. Thinking back, maybe it also looked, from some of the details of the story, like the music owners were behind it? Anyone remember?
And now this? Has anyone looked into the research funding? And into how the press caught it?
Unless he, or people he knows, bought stock in Apple after spreading that "information".
Wanna fight ? Bend over, stick your head up your ass, and fight for air.
who's behind this faulty report very Zune.
Cake or Death? Cake Please!
This shows two faults. The first is the lack of checking that goes on by web based services when reporting things, they publish first then look into things later if they get time. The second is the gullibility of the general public when reading things. "Its all over the web. It must be true!". The fact that these reports all refered back to the same origin, an article written by a reporter with a track record of bashing iTunes and an anti-DRM agenda, didn't matter. The consequence is a drop in share price as people panic on the news.
For myself, I waited for someone else to back up the story. As that didn't appear I discounted it as rumour.
You may think me a tired, old, cynic. I'd have to disagree about the tired bit.
based on a random sampling of 2,000 credit card accounts,
Ummm... Now, I harbor no delusions that my credit card history really counts as a secret - Obviously my CC company has it and uses it to market bizarre crap to me, and they'd turn it over to the government without thinking twice about it.
But how does some guy just go and "randomly sample" 2000 cards' histories? If I wanted to validate his study, could I do the same?
Something doesn't seem right here, and I don't think most people would like the "how" either way.
Seems to me like a pretty clear admission that the sample size is too small to be reliable. He took the data he had available, analyzed it, and presented the results while noting the deficiencies in the method. Doesn't sound much like fraud to me. That's just grade school reading by the way...
So in other words, he knew from the beginning that he was spewing out bullshit. The article never should have gotten past the editors. One can argue back and forth whether the journalist should be disciplined, I'd argue for it and for an investigation of possible conflict of interest, but there's no way the editors should have let the article through as it stood. They should have been canned.Beta is broken and the link to classic doesn't work. Stop wasting our time or there won't be anybody left here.
Is the 2006 collapse a trend? We don't know yet:
The MSM notices the "collapse" but not the WARNING signs written all over it. The funds then read the MSM, and call Forrester in a flap. Forrester panics.
Meanwhile the Apple fanboys - last seen trying to jail Nick de Plume at ThinkSecret - say, "Nothing to worry about here, folks, move along..."
Can't the MSM do original research any more?
Maybe I'm an exception, but it's obvious to me that when he says "Our credit card transaction data shows a real drop between the January post-holiday peak and the rest of the year" he's talking about his sample data. That, in their sample, there is a "real drop" in the number of transactions. He then ackonowledges that, based on their data, they couldn't draw the conclusion that iTunes sales, as a whole, experienced the same "real drop."
The credit card histories were selected from a pool of people that allowed the research firm to be copied on all credit card transactions for a given window of time. This should have set off alarm bells for anyone reading the report. By relying on only those willing to hand over a history of their financial transactions, they've already fundamentally broken any chance at having a both a truly random selection and a selection that is representative of the population at large.
a new study shows that studies are not factual at all and are used as propaganda by large powerful companies.
...analysts have deduced that Apple's revenues from sales OS X are negligible compared to sales of Macs, and have concluded from this that Apple's death is imminent.
"How to Do Nothing," kids activities, back in print!
The reasearch firm runs an opt-in consumer panel. The members have to ask to join. The members were approach one day and asked if all of their credit card transaction could be monitored for a set period of time. The ones that agreed were the sample for this study. So the basis of the original research comes from the small fraction of a self-selected group willing to hand over their financial history.
How stupid do you have to be to believe that a random sample of only 2,000 credit card accounts could show any kind of trend as it relates to iTunes sales. Only a small fraction of people with credit cards buy music on iTunes anyway. A random sample of 2,000 isn't going to show you any kind of trend when the the overall number of people who use their card for that kind of activity is so small. You'd need either need a much, much larger random sample or a targeted sample of likely online music buyers to determine any kind of trend. The fact that a report that is so obviously flawed could even get mentioned on a site like Slashdot is laughable. What a joke.
I remember reading the previous article and thinking that this article that I am replying to was forthcoming.
iTunes sales have always been doing well, never poorly. Last quarter an increase in demand in songs was met with success. As a result, the download quota has been increased from 5 to 3 ^H^H^H^H^H from 2 to 3 songs per month!
Death to Goldstein!
there are three kinds of lies in this world: lies, damn lies, and statistics.
I thought it would be fun to compare slashdot comments to the previous posting to see how many geniuses out there fell into it with "I told you so," "It's because Apple is a big meanie," "Songs are no good," and similiar contributions. But I have to say after reading through the previous posting's comments, though there were a few like the above, the vast majority of slashdotters called it correctly and said the previous study was flawed, giving all the reasons why. Impressive!
How about a moderation of -1 pedantic.
No surprise there. As has been stated multiple times already, this isn't a valid comparison. They should be comparing the equivalent period this year, one year ago, two years ago, etc., not peak sales and slow sales.
I predict somebody's going to estimate - based on five random credit card receipts found in some packrat's wallet - how many new Apple II's are being sold compared to 1980, and drawing the conclusion that Apple's computer sales have plummeted from one to zero...
Usage: km/h for speed (kilometers per hour); kph for very slow impulses (kilopond hours).