ניהול אחר אפל: צבא התפוחים הסודי.
An article by Dor Zach, correspondent at Calcalist, the largest economic newspaper in Israel.
I offered some thoughts on Apple’s current strategy, and the various misconceptions about the company.
(Hebrew only so if anyone wishes to summarize it in comments, it would be helpful to others).
“BEIJING and CUPERTINO, California—December 22, 2013—Apple® and China Mobile today announced they have entered into a multi-year agreement to bring iPhone® to the world’s largest mobile network. As part of the agreement, iPhone 5s and iPhone 5c will be available from China Mobile’s expansive network of retail stores as well as Apple retail stores across mainland China beginning on Friday, January 17, 2014.
China Mobile & Apple Bring iPhone to China Mobile’s 4G & 3G Networks on January 17, 2014 – Yahoo Finance
January 17 seems to be an auspicious date.
Precisely a year prior to that date, on January 17, 2013, I wrote The iPhone MOQ.
Within that post I showed the activation rates for US operators as a percent of total users. Figures ranged from 10% to 19% by year or operators. I further assumed the figures would be toward the high end of that in Japan based on statements by the president of NTT DoCoMo.
The last phrase I used was:
“The MOQ figure as percent of subs for China Mobile would also be an interesting point of debate.”
My assumption would be that CM would start at a base significantly lower than the US or Japan. I would not be surprised to see an MOQ of 4% of user base for 2014. In the press release above China Mobile states that they serve 760 million customers. That implies a minimum order of about 30 million iPhones.
In the absence of any other data it’s best to be conservative.
As previously noted, the US smartphone market has followed an almost perfectly logistic growth. The measured data (via comScore, in green below) follows a predictive logistic function (thin blue whose formula is discussed here).
The other notable market observation is how closely the iPhone follows the same pattern as the market. The red line representing the iPhone above is almost perfectly parallel to the green and blue lines which represent the overall market. The reason for this seems to be that consumers are absorbing the product in similar way to how they are absorbing the technology. The “learning model” which underpins logistic models could offer clues as to the cause. It suggests that there is a direct communication that happens between the product and the consumer.
The latest comScore US smartphone survey showing three months’ ending October data has been released and there were no surprises. Smartphone penetration grew to 62.5% representing 149.2 million users. I made a slight adjustment to the predictive logistic function parameters (p1 = 93, p2 = 22.5).
The correlation between predictive and actual logistic function (P/(1-P)) is shown below.
iOS unit sales crossed over 700 million units last month. That is a significant milestone but the total number of units in use is likely to be lower. My estimate based on device replacement assumptions is that about 500 million are still in use.
The estimated break-down of units sold and in use by device type is shown below:
The adoption of smartphones in the US is on track for reaching 90% of the available audience by August 2016. This is a mere eight years after smartphones reached 10% penetration. As far as technologies go, that’s pretty fast. To get an idea of how rapid, I plotted a few other technologies and the time they took to grow within the US market.
A few things to note:
Photo credit: Wikipedia, CVN-78
I’ve been writing about Apple’s capital intensive operations for some time. The difficulty has always been in explaining the scale involved. I’ve compared the spending to that of Samsung, Microsoft, Google, Intel and Amazon. But these numbers still can’t be easily grasped. You can’t point to any comparable objects when you try to explain the figure. I struggle to create a less abstract notion than that of a “sea of tooling and servers.”
Instead, I’ve used the analogy of US aircraft carriers. Historically, Nimitz class aircraft carriers have cost a less than $5 billion. The USS Ronald Reagan, christened in 2001, cost $4.5 billion. Therefore I was comfortable saying that Apple spends the equivalent of about one Nimitz class aircraft carrier every six months (and that the Navy takes about six years to put it together.)
Unfortunately, costs for aircraft carriers have gone up. The USS Gerald Ford will take about $13 billion to complete. That places Apple and Samsung capital spending in the following context:
Apple has sold 700 million iOS devices. Google claims one billion Android device activations. Microsoft has about 1.5 billion Windows users and Facebook about 1.19 billion. LinkedIn has 259 million users and Twitter has 232 million. Amazon has 215 active account holders and PayPal 137 million.
Markets place a value on these users implicitly when company shares are priced. For example, Twitter whose users are worth about $110 or FaceBook’s $98 and LinkedIn at $93.
This consistency suggests a universally accepted value per social media user but what is the value of an ecosystem user? Apple, Google, Microsoft and even Amazon aspire to enable ecosystems which should be seen are more valuable than mere communities. Ecosystems enable a higher level of economic activity because they are unbounded by the medium itself. Any number of media can be created. Or so the theory goes.
If we could determine a value for an ecosystem user we could test it against the going value of a social media user. Fortunately we have enough data to do so.
The total number of iOS devices sold per quarter allows us to measure the install base of device users. With some assumptions regarding the retirement and attrition rate we can get the following history:
Since the total number of iTunes accounts is updated with some regularity I’ve added it to the graph. I’ve also shown on the same graph the total number of iCloud accounts. For calibration, I included survey data showing the number of iPhone users in two regions (US and EU5).
All theoretical and empirical diffusion studies agree that an innovation diffuses along a S-shaped trajectory. Indeed, the S-shaped pattern of diffusion appears to be a basic anthropologic phenomenon.
This observation dates as far back as 1895 when the French sociologist Gabriel Tarde first described the process of social change by an imitative “group-think” mechanism and a S-shaped pattern. In 1983 Everett Rogers, developed a more complete four stage model of the innovation decision process consisting of: (1) knowledge, (2) persuasion, (3) decision and implementation, and (4) confirmation.
Consequently, Rogers divided the population of potential adopters according to their adoption date and categorized them in terms of their standard deviation from the mean adoption date. He presented extensive empirical evidence to suggest a symmetric bell shaped curve for the distribution of adopters over time. This curve matches in shape the first derivative of the logistic growth and substitution curve as shown below.
In the graph above I applied the Rogers adopter characterization to the data we have on the adoption of smartphones in the US. The latest data covering September is included.
Microsoft spent $2.6 billion for Advertising in the fiscal year ended June. Apple spent $1.1 billion in its fiscal year ended October.
Other companies will report their full year ad spending later but their previous years’ spending is shown below.
I added a second graph showing the percent of sales that each ad budget represents. Note that Coca Cola retains the crown as the most prolific advertiser when it comes to budgeting.