Influence Peddling
There's a lot of buzz building lately around a firm out of London called PeerIndex. PeerIndex has set out to perform a significant but complex task: identify who's worth listening to online. Think about it: with everyone on the Internet offering their opinions about everything, how does one separate the good from the bad? How do you know if someone is respected and trusted?
What PeerIndex is doing currently is monitoring LinkedIn, Facebook and Twitter activity, and through a proprietary algorithm, assigning bloggers and the like ratings based on their authority, activity and audience.
While there is probably a consumer play in here somewhere, PeerIndex has wisely designed to follow the money: it's selling its ratings to those who want to influence the influencers. Think what a public relations firm for an airline, for example, could do if it knew which bloggers talked about air travel, which ones had the biggest audiences, and which ones were the most influential?
This isn't exactly a new concept by the way. I first came across it in healthcare, where pharmaceutical companies spend big dollars trying in various ways to identify Key Opinion Leaders (KOLs) -- healthcare professionals who are well-known and well-regarded in some specific area. The goal is identical: influence the influencers. What particularly interests me about the various efforts around identifying KOLs is that they tend to draw on far more data sources than PeerIndex is currently using -- physician credentials databases, journal articles, conference attendance and speaker lists, and much more. Because of their structured format, databases can be particularly powerful inputs into these types of influence assessment engines.
PeerIndex is worth taking a look at, and perhaps talking to. PeerIndex may have use for your data, and vertical market opportunities are sure to proliferate for content such as this. Better yet, non-politicians can now sell influence as well!
Doubling Down on Data
Well little more than a week after that, Google announces still another acquisition, this time of a company called
Metaweb. Metaweb's claim to fame is operating a "database of things in the world." That's pretty fluffy, but it appears Metawab's database included structured information on millions of movies, books, celebrities, companies and more. In short, Metaweb could be construed as a database platform to allow Google to quickly move into a lot more vertical markets.Travels with Google
By now, you have certainly heard about Google's plans to acquire ITA Software for $700 million. ITA is a remarkable company that made its business and its fortune by making sense out of airline flight data. By some reports, ITA data now supports over 65% of all airline bookings. As just one metric, ITA servers process over one million travel queries per second.
The big question everyone is asking of Google is "why travel?" The more important question we are asking is, "why data?"
There are a couple of relatively simple explanations for why Google is chasing the travel vertical. First, it's a huge market that touches almost everyone at some point. If Google can do a better job with travel-related search results, it pleases a lot of its users, keeping them loyal and happy. From a financial perspective, travel involves huge numbers of relatively high-value transactions. The more Google can inject itself into this mix, the better positioned it is to make money as an intermediary. Many punidts see Google moving to cost-per-action (CPA) pricing in travel. In other words, it will be selling leads to travel providers. It's also possible that Google is looking over its shoulder at Microsoft's Bing search engine, which singled out the travel vertical for special attention since its inception.
But let's get to the more relevant question: why data? An article in Seeking Alpha does a nice job of summarizing the ITA deal and where Google is likely to go in travel. It then ends with two remarkable sentences:
"If Google does start to go after vertical search in the same way that Bing does already, search results will look a lot less uniform than they do today. Those much-maligned "ten blue links" just don't cut it anymore."
Wow! There seems to be an emerging consensus that plain vanilla search is getting a bit tired and may not in fact deliver the best possible results for every conceivable query. Indeed, travel is a wonderful example of this. You wouldn't even consider trying to find a flight between New York and Los Angeles using Google. It's somewhere between impractical and impossible. The only way to fix that problem: introduce structured data content into the mix. In short, the world is now starting to realize what data publishers have always known: for many types of searches, fielded, parametric search is much more productive than full-text searching. Google seems to be tiring of trying to develop programs to synthesize structure where none exists.
Indeed, a number of pundits see Google moving increasingly into vertical search. It's already been reported that Google is interested in real estate listings data. What we're likely to see is Google move into a number of the largest B2C markets, snap up key data providers, and build out optimized vertical search platforms in those markets. And it's not just Google. Just today, Yahoo announced its real estate listings would be powered by Zillow.
Longer-term, my sense is that Google is going to morph into a whole new type of search engine, moving away from its historical insistence that it can provide a "one size fits all" solution. This will, I believe, also begin to shake advertisers out of their belief that Google is the optimal, "one size fits all" online advertising solution. Coupled with this implicit endorsement of vertical search by Google, I'd say this could be longer-term good news for those of us already in the vertical search business, particularly B2B markets where Google is far less likely to play.
This is just one more waypoint in a long and fascinating journey. Buckle up!
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The Great Commoditization
It's no secret that we've transformed ourselves into a service-based economy. This is often expressed indirectly through the lament that as a nation, "we just don't make anything anymore." And it does certainly seem that more of us are engaged in marketing, managing and monetizing than manufacturing these days. But this shift doesn't just apply to clothing, automobiles and consumer electronics; it also applies to content.
There's no agreed-upon single definition for Web 2.0, but the commonality I saw in new ventures commonly labeled as Web 2.0 was a focus on aggregating, manipulating, presenting and (occasionally) licensing content, but rarely if ever creating any content. Where content was created, more often than not it was via user-generated content. In short, while these ventures needed content, few if any wanted to be in the business of creating it themselves. This no doubt explains the amazing proliferation of Web 2.0 ventures. There are lots of talented programmers out there, and (seemingly) unlimited funding for websites that can be developed quickly and have none of the cost or complexity of proprietary content associated with them.
We're seeing the same thing now in the news business, with the growth of so-called "content farms." These are companies that employ legions of underpaid writers to crank out timely, "SEO friendly" stories that are piped to subscribing websites that need an endless supply of new content but don't want the bother of creating it themselves.
Perhaps you see where I am headed. With everyone re-purposing a large but ultimately fixed pool of content, said content ultimately gets commoditized. All this "plug and play" content is incredibly convenient, but value goes down as availability goes up.
This leaves those of us with high-value, proprietary content in an enormously strong position. We are the remaining few who still are making something distinctive, unique and valuable. And as those who prefer to distribute content rather than create content begin to feel the effects of "The Great Commoditization", I am predicting there will be huge pressure to obtain valuable, distinctive content. Data publishers may or may not choose to work with these companies, but there's no feeling quite like a bunch of people banging on your door, checkbooks in hand. Building and maintaining quality databases has never been easy work, but it is poised to become even more rewarding.