This is a great book. First, however, a few words about what it is - and what it's not. It's not a primer on how to get more customers to the website for your your small business. It's not a technical tome on search optimization. It's not the be-all and end-all on the psychology of online behavior.
What it is is something in the same vein as Blink, or Nudge, or Freakonomics. In other words, the author looks at some data and, in a lighthearted way, makes some interesting connections that tell us some very interesting things about ourselves.
In this case, the data is what criteria people enter into search engines. The idea is that this information helps reveal a true picture of ourselves. Ask yourself, what would you trust more when it comes to surveying people's attitudes on pornography - a telephone (or in-person!) survey or detailed data about what people type into a search engine late at night in the privacy of their own homes?
The fun thing about this book is how much data the author has at his fingertips and how much fun he has in seeing odd patterns develop over time or in finding odd correlations - and then trying to figure out why.
Take, for example, prom dresses ... There is an expected bump in searches right before prom time - but also one at the beginning of the year. Why? Well, it turns out that there are basically two different customer groups. One is the girl - social, fashion forward, probably a little more traditional, richer - who is really into it. She reads the fashion magazines that feature prom wear (and that come out in January) and then starts preparing. The other is the girl who knows she's expected to go, and she's got to wear something, and doesn't want (or have) a lot of money to spend on it ("cheap prom dresses" soar during the later time period). The author even gets into what he calls "search arbitrage" - i.e., predicting things (like who's going to win American Idol or predicting the next hot band) based on search results.
Now, this sort of thing is not for everyone. The author meanders around quite widely, and the average reader may be asking themselves "so what?" quite a but. But for those of who have a bent toward data, it's a very fun ride.
The only beefs I had were that the author relegated his methodology to a few short paragraphs in the introduction. It's important, interesting in its own regard, and definitely could have had some more emphasis.
Also, the author's writing style is good, but he's no Malcom Gladwell . In particular, he has an annoying habit of starting each chapter with a hard-to-follow, not totally relevant personal story before he gets to the data. I strongly disagree with the reviewers who thought the writing was really bad or too self-serving. The personal stories simply make it more readable. And he's really quite humble. If you'd like an example of what NOT to do in this regard, try
Buyology: Truth and Lies About Why We Buy.