Beyond Vertical Search to Business Networks January 30, 2008
Posted by bernardlunn in B2B Media, Vertical Search, Web 3.0 Semantic, social networks.add a comment
Vertical Search is one of those confusing terms that means many different things, depending on where you are coming from.To most RWW readers, Vertical Search tends to mean “the search space that Google has not yet grabbed and that does not require a major technology breakthrough such as natural language search”. That’s a good enough definition from a start-up perspective.For traditional media, Vertical Search is also about creating a space that Google cannot simply steamroll over. Traditional media may call it Rich Data or Information Services or Data Products, but the end goal is the same.For the sake of consistency I will continue to call this Vertical Search, although the opportunity is deeper than simply search. In fact, in order to build sustainable advantage against the Google steamroller, it has to be deeper than just search.As Alex Iskold explained recently, Google Custom Search is setting the bar for Vertical Search Engines. This looks like a smart play by Google and they will grab the big low hanging fruit very well. For example, search for something related to healthcare and you can see that Google already understands concepts such as Symptoms and Treatment.That still leaves a lot of opportunities within niches that may look small at first glance (and which won’t justify any focused effort by Google). You can dismiss these niches as “picking up peanuts in front of a steamroller” but when the speed and direction of the steamroller is fairly clear, there are lots of opportunities if you are agile and quick on your toes * Technology. This includes search engines, scrapers, tagging tools, XML databases, research workflow, subscriptions/billing and more.
* Data research services. Many sites rely entirely on aggregating, filtering and displaying open content from other sites. Other sites like to add proprietary data that needs to be collected by traditional market research techniques. There are also a few small niche consulting firms providing strategic advice, usually through some mix of research reports, seminars and workshops. Financing is often provided or arranged through a number of specialist “boutique” investment bankers and Private Equity investors specializing in this market.Vertical Search sites typically provide one of three main types of data:
There are also three basic techniques:
Current monetization strategies are usually either advertising or subscriptions.If you can show ROI by saving money you can charge subscriptions. Subscriptions enable predictable, high margin businesses; subscriptions are also much more recession proof than advertising. The basic rules for getting people to pay for data are:
There are lots of pricing options for paid subscriptions – by registered user, by concurrent user, by # of records, by time period, by product (print vs online). Print On Demand technology has rejuvenated print by making very small print runs cost effective.In recent years the trend has been to move increasingly towards making information free, letting advertisers pay the bills. Google has clearly changed the advertising landscape with Cost Per Click, as this is closer to a model with proven Return On Investment (ROI).The future may move to transaction models. There will always be a big place for brand advertising (aka “faith based advertising”) but the logic of ROI tends to drive from Cost Per Click to Cost Per Action to Cost Per Product (i.e. a % of the product price). Given a choice, most sellers prefer to simply pay a % of the sell price; in an ideal business world all costs are variable costs.These transactional business networks rely on two key planks:
Google is not the only steamroller heading this way. LinkedIn has the other piece and they are on a roll. The strategic imperative for media firms is to use the base techniques of search and social networking to build their own value space. The technical pieces for both are easy to assemble. It is simply a land grab game.Business Networks work best in industries with lots of buyers and lots of sellers. This is known as a “fat butterfly” industry structure. If a few buyers or a few sellers dominate the industry, there is less opportunity for an information intermediary. This may sound familiar to people who remember B2B 1.0 circa 1999 with over-hyped companies such as VerticalNet. The end goals are the same in B2B 2.0, but a lot has changed since then:
Vertical Search companies that rely on a few jazzy features or a “we try harder” approach will have their competitive advantage inexorably eroded by Google. Companies that use search as one tool to build niche online business networks based on a transactional model can create sustainable competitive advantage.
You may also be surprised by how much money can be made in small niches. My favorite unglamorous niche is ASI, the Advertising Specialty Institute. Their business is “promotional products” or as they put in their site: “think of all those freebies like mugs and T-shirts you see at trade shows”. It is an $18.6bn industry which is pretty small (compared to the big markets targeted by vertical search start-ups) . Yet a few years ago ASI’s revenues were well north of $50m and they were highly profitable and growing at a reasonable clip. This type of niche won’t get you on the front cover of Fortune but it could make you rich.ASI is more than vertical search, a lot more, but the core of the business is data about their industry. That data enables them to take small slices of lots of interactions within their market. They have become a “business network”. More on that later.First, lets look at who the players are in this market:
Viral + Monetizable = StartUp Magic Quadrant January 21, 2008
Posted by bernardlunn in Web 3.0 Semantic, social networks, start-ups.add a comment
Most of the Web 2.0 success stories have been viral. Apart from Hotmail, this was not true in Web 1.0. The game at that time (hopelessly flawed in retrospect) was raising tons of money to advertise (online and offline) to get traffic. Flickr, YouTube, Twitter, Facebook type services don’t need to advertise to get mass scale.
Then use Amazon Web Services or equivalent for your infrastructure; you don’t even need to raise money for capital expenditures, you just pay as you go as a variable cost.
That is a major revolution in business; it overturns the accepted wisdom that you needed mega millions to build a consumer brand.
But there is a problem with all this. I don’t believe I ever clicked on a Hotmail ad. I don’t think I even looked at them. Here is the nasty law:
“The more viral it is, the harder it is to monetize”.
These are the three streams of the Internet – communication, entertainment and research. You go online to communicate, have fun or find some information. The viral properties of each stream are quite different:
- Communication. This is perfect for viral. Think Hotmail, Twitter, Skype and Facebook. The viral property is built into the service.
- Entertainment. Think You Tube or Second Life or any online game. I tell people about a really entertaining video. The viral property is weaker as it depends on a stream of loss-leader hits.
- Research. Google got viral adoption because the alternatives were weak and it was a major problem faced by millions every day. As it was free and dead simple to use, there was no barrier to adoption; but the viral spread was only possible because it was such a big problem and it was so much better than the alternatives. This happens very rarely.
Only Communication is a sure fire viral success. It only works when it is a genuinely new form of communication (webmail, social networking, microblogging). You cannot launch a web mail or social networking site today and expect viral adoption. But when it is a genuinely new form of communication, the viral adoption is stunning in its speed. I can see one new form of communication out there today that could get mass viral adoption, which is video conversations as exemplified by Seesmic.
When you look at the three streams of Internet services – Communication, Entertainment and Research from a point of view of monetization, the order is reversed:
Research is simple to monetize. It leads to a database of intentions and that leads to any number of advertising models that have a) proven returns to advertisers b) proven use for searchers.
Entertaiment can be monetized through advertising and “freemium”. We are used to the idea of ads to get free entertainment on TV/Radio and used to paying to go to the Movies or rent DVDs.
Communication is really tough to monetize through advertising. It has to be free to be viral (and it can be free because the marginal cost is close to zero). So the only way to make money is some form of advertising. It is just really, really hard to find a good way to offer advertising around a communication service that works for both the user of the service and the advertiser.
The big debate about Facebook’s value and their Beacon debacle is a reflection of this fundamental problem. So is the online debate about Twitter monetization and the heat that eBay got for not being able to wring the expected profits from Skype.
There have even been attempts to offer free telephone services in return for listening to ads. They were ridiculed and have failed. Yet we assume that it is OK to do this with online communication.
The simple fact is that when we are communicating all our attention is on communicating, so ads don’t get our attention. Entertainment can have breaks; TV has accustomed us to this idea. But try saying “we interrupt your attempt to get a date to give you this message from our sponsor”. I think the sponsor would suffer some serious brand damage!
Facebook is trying hard with some new models to monetize the social graph. But they all hit a fundamental problem. On page 44 of “Wikinomics, How Mass Collaboration changes Everything” it says “relationships are the one thing that you cannot commoditize”. That is like the law of supply and demand, you can count on it and take it to the bank. So any attempt at making social network relationships into either an Amway scheme (I make money by selling stuff to my friends) or a Beacon scheme (Facebook makes money by me selling stuff to my friends) will ultimately fail.
This does not mean that you cannot make good money on a new form of online communication. If you have a new form of communication and you get mass scale virally, you will get good returns on capital. Even if ad monetization rates are very weak, you make up for low rates with scale. As it costs so little to get that scale, it is still an OK business. Somebody who needs scaled-up features to add to their platform will pay good money to acquire you.
However that is a small prize compared to a Research service that gets mass adoption. Google is valued at over $200 billion because they got viral adoption for a Research service. They have even found a way to make email advertising effective. I now use Gmail and the ads are often bang on target and I have clicked on ads in Gmail. (They are also often totally, crazily wrong; my favorite was when I was writing about somebody called Cooper and got ads for Mini Cooper cars).
Services can mix Communication, Entertainment and Research. However the core proposition has to be clear. A new Communication medium is initially always Entertaining just because finding new ways to connect with people is a buzz. But once that “gee whiz” early adopter fades, the service has to be useful on a daily basis for mass markets. New entertainment models have to be social to break into what is already a hugely powerful entertainment industry.
Research is currently solitary. It is not fundamentally entertaining. I don’t see fun as a driver for Research beyond a gee whiz phase. However collaborative research, search with a communication angle, does look like the next big thing. My definition of Web 3.0 is:
“The combination of Web 2.0 mass collaboration with structured databases”.
If you can build a research tool that propagates virally and gets more useful with each person who uses it, you build a business with phenomenal power. That is a lot easier said than done. The purely technical challenges of creating structure out of lots of unstructured input is considerable. Much tougher is the chicken and egg problem; the tool has to be useful out of the gate, which is tough if the use derives primarily from the interaction of many people.
This means that funding has to be substantial to build enough value before the community kicks in to create value. That is why services such as Mahalo and Freebase raise VC measured in tens of millions of $. This is not like a pure Communication service that can get viral adoption out of the gate (but where the eventual returns are limited).
Mahalo is Web 2.5 – its official October 4, 2007
Posted by bernardlunn in India, Web 3.0 Semantic, social networks, start-ups.add a comment
Jason Calacanis tried spinning Mahalo as Web 3.0 and got flamed all around the Blogosphere. Being a savvy promoter and ex publisher I am sure he is tickled pink at the free attention he got for his start-up.
I have to admit I rather liked his definition of Web 3.0:
“Web 3.0 is defined as the creation of high-quality content and services produced by gifted individuals using Web 2.0 technology as an enabling platform.”
Leaving aside the entirely correct view that all this versioning is just silly (it is silly, but methinks it is here to stay, the concept of continous evolution is too messy to grasp, we need defined phase transition points), Calacanis is just a bit wrong. What he described is Web 2.5. I think he is onto something big with Mahalo and it is a potentially great model, particularly with a few million more knowledge workers coming on stream from “the countries formerly known as emerging markets”. Mahalo is an interim step and brilliantly timed.
The reason is that the real Web 3.0 when we combine the Web 2.0 user generated social web with STRUCTURE (like we had in all those boring 30-year old databases) is a technically very, very tough thing to pull off. There are some big attempts such as Freebase and Radar Networks but these are very early stage.
So the interim, using humans rather than relying solely on algorithms, will be a great business model. It might not be Mahalo that pulls it off. But the basic idea is bang on target IMHO.
What amazes me is that the Mahalo concept was not invented in India.