course
Apple vs Microsoft vs Sony [Graphs]
The core of any long-standing technology company is research and development. Here’s how Apple, Microsoft and Sony’s last decade of spending stack up.
Note that the first graph shows research and development as a percentage of revenue (to scale the spending by company, since revenues differ so greatly). This next graphic can help you conceptualize the revenue and R&D gap:

A Few Interesting Notes:
• Now, Microsoft spends about 17% of their revenue on R&D. Sony spends about 8%. Apple spends less than 4%.
• If you were to break down the amount of R&D that goes purely to physical (non-software) products sold by Apple and Sony, Sony would spend about $11.5 million per product while Apple would spend about $78.5 million per product. (Of course, that’s rolling the cost OS X and iPhone OS development into Macs and the iPhone, which could be seen as inflating their per product spending.)
• Microsoft just spends a lot of money in R&D, period—about $9 billion last year in generalized research (that often doesn’t lead to specific products). In terms of percentage growth over the last decade, Apple’s R&D has grown the most (nearly quadrupled) while Sony’s has grown the least (not quite doubled).
In light of these bare numbers, is it any surprise that Sony is struggling the most to capture the hearts and minds of a public hungry for gadgets?
Sources:
Apple
Apple Public Relations
Apple Investor Relations
Apple Insider 2004
Apple Insider 2005
Apple Insider 2006
Apple Insider 2008
Mac Observer
Microsoft
Microsoft Investor Relations
Sony
Sony Investor Relations
Research by David Chaid
Inside Google’s Secret Search Algorithm
Source: http://feeds.gawker.com/~r/gizmodo/full/~3/zzkIcilnJp4/inside-googles-secret-search-algorithm
Wired’s Steven Levy takes us inside the “algorithm that rules the web“—Google’s search algorithm, of course—and if you use Google, it’s kind of a must-read. PageRank? That’s so 1997.
It’s known that Google constantly updates the algorithm, with 550 improvements this year—to deliver smarter results and weed out the crap—but there are a few major updates in its history that have significantly altered Google’s search, distilled in a helpful chart in the Wired piece. For instance, in 2001, they completely rewrote the algorithm; in 2003, they added local connectivity analysis; in 2005, results got personal; and most recently, they’ve added in real-time search for Twitter and blog posts.
The sum of everything Google’s worked on—the quest to understand what you mean, not what you say—can be boiled down to this:
This is the hard-won realization from inside the Google search engine, culled from the data generated by billions of searches: a rock is a rock. It’s also a stone, and it could be a boulder. Spell it “rokc” and it’s still a rock. But put “little” in front of it and it’s the capital of Arkansas. Which is not an ark. Unless Noah is around. “The holy grail of search is to understand what the user wants,” Singhal says. “Then you are not matching words; you are actually trying to match meaning.”
Oh, and by the way, you’re a guinea pig every time you search for something, if you hadn’t guessed as much already. Google engineer Patrick Riley tells Levy, “On most Google queries, you’re actually in multiple control or experimental groups simultaneously.” It lets them constantly experiment on a smaller scale—even if they’re only conducting a particular experiment on .001 percent of queries, that’s a lot of data.
Be sure to check out the whole piece, it’s ridiculously fascinating, and borders on self-knowledge, given how much we all use Google (sorry, Bing). [Wired, Sweet graphic by Wired's Mauricio Alejo]
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The Perfect Babe – Megan Fox (pics)
Megan Fox – The Perfect Babe Product Placement



No, this post is not about Megan Fox. Well, yeah it is. But it’s about the MARKETING of Megan Fox.
Megan Fox has been around in films and TV since 2001 (see filmography below). But it wasn’t until 2007 when she starred in the first Transformers movie that she burst on the scene and became an overnight mega celebrity, especially online (see Google Search Volume chart). If you look at Ford’s search volume during the same period, there was NO lift in search that was detectable — there probably was some lift, but it is simply not detectable.
So Megan Fox went from very very little awareness to not only massive awareness, but also massive demand — people remembered her name and even took action (performed searches on her name). If some product placements would have had only 10% of the success of the “megan fox” product placement, they might actually justify the immense cost a bit better (millions of dollars paid by the advertiser to the movie makers to place products into the storyline of the movie).
And why is she “perfect,” in the marketing sense, of course? Her search volume has not only sustained but also continued to grow. She was not a flash in the pan that went away after the advertising/media dollars stopped or the public interest died off (see the snuggie and etrade search volume charts below).





transformer girl, second girl in transformers, other girl in transformers – Isabel Lucas





CCA – cost of customer acquisition
how do we judge the relative merit and effectiveness of different types of advertising? By finding a common parameter that can be used to compare “apples to apples.” We argue that cost of customer acquisition is a great candidate for such a parameter.
For example, if television advertising cost $50 million to produce and air, and 1,000 people came to the acquisition website, and 10 people applied for and received credit cards then the CCA — cost of customer acquisition would be $5 million ($50 million / 10 people who got the credit card). Of course television advertisers would claim that the “impressions” from TV would have “branded” millions more people and they would eventually get a credit card from the company. That’s possible. But for the purposes of this exercise, if there is no absolute end-to-end tracking, we don’t count it. Because, for example, many other possible scenarios can also occur, like the person saw this ad for a credit card but ended up getting a card from a different bank, they saw and remembered the ad but they already had several credit cards from the company, etc.
With “online” we can easily see lift in search activity around the time that brand/awareness advertising is in-flight. This is one of the best indicators of interest — the person saw the TV ad, and was inspired enough to go online to do more research to inform their own purchase decision. Modern consumers will typically search and then click through. In rare instances, they will type the URL, but it is usually the domain name, not the special URL — domain_name.com/special_url — just because of pure laziness or simply because they forgot the /special_url portion.
Now let’s look at a print example: a print ad cost $5 million to produce and traffic in targeted magazines. About 1,000 people came to the website and 10 people ended up purchasing the advertised product. So the CCA is $500,000 per customer acquired. There may be more people who saw the ad and eventually came in to buy a product. But again, there is a problem of attribution.
Now a final example from “online” marketing. Search ads were run using Google Adwords and a $1 CPC (cost per click) was paid. Of those people who clicked through 1 in 20 purchased a product. So it took 20 clicks at $1 each to achieve 1 sale – so the cost of customer acquisition is $20.
OK, so what about prodycts not sold online? We can use a proxy which has a known conversion to sales. For example, once a coupon is printed from the website, from historic data the advertiser knows that 30% end up using the coupon – i.e. redeeming with a purchase. So, again, if we used a $1 CPC and 1 in 20 ended up printing the coupon and 30% of those “converted” to an offline sale, the CCA would be $66.67 ($20/0.30).
So to recap
Television – $5 million CCA
Print – $500,000 CCA
Paid Search – $20 CCA
Paid Search + Offline Sale – $67 CCA
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