Location, Location, Location

Yes the joke has been made before - what has long been said about the real estate industry is now also true of the mobile industry and even of the Internet more broadly as mobile access continues to grow and eventually becomes the primary way we access the Internet. The ability to detect a user's location is changing the way we design and use applications and is already creating enormous new business opportunities. What is truly amazing is that this is only the first of a series of sensors we'll carry with us in our phones -- the "low hanging fruit" of the mobile revolution that the 2010s will bring to our society.

Here at Open-First we have been studying the emergence of the mobile paradigm and have been applying our knowledge in advising our corporate clients. The graph shown here is an important key to understanding the tremendous shift underway. It shows the first 5 quarters of user growth for the now enormously popular Twitter service, and the more recently launched Foursquare service. Both of these services can be seen as "lightweight social networks" in the sense that they provide one particular way in which people will interact, as opposed to Facebook and others that aggregate a variety of interaction modes.

But Foursquare reached 1 million users in half the time that Twitter did, even after a huge growth spurt for Twitter following the 2007 SXSW conference, largely acknowledged as the point at which the technology world "discovered" Twitter. Why has Foursquare grown so much more quickly?

In our opinion the disparate growth has everything to do with what Geoff Moore called in his famous book of the same name, "Crossing the Chasm." At the risk of losing all of the subtlety of Geoffrey's invaluable book (go buy it and read it if you haven't already) the simple explanation for how a product moves from "visionaries" to "pragmatists" is by providing some easily understood real value in the use of the product. Thus the difference in the growth rate of Twitter and Foursquare in our view was the time it took for each to establish that value.

Foursquare's advantage in this race was location. The shift is at once subtle but fundamental. Twitter is at heart a message bus, merely a facility that enables a wide range of activities. But Foursquare inherently incorporates purpose into its use. One could even say that location is a proxy for purpose -- I am in a particular place because I am doing a specific thing there. Others that come to that place are likely to be doing something similar for similar reasons. I immediately share purpose with others -- a social network of purpose will prove its value much more rapidly than a social network of interest like Twitter.

And even aside from mobile we currently have an explosion of social networks of purpose. The social buying site Groupon for example. But the other important aspect of Foursquare is the way in which it is leveraging a mobile sensor, in this case GPS for establishing location. This is important because we are about to see an explosion in the number and variety of sensors deployed in the built environment and on our bodies, generating vast new quantities of data, often into social pools (see Dr. Andreas Weigend's Social Data Revolution for more on this).

In each case, as a type of sensor is popularized, new applications (and new businesses) will emerge and because they will be tightly coupled with purpose, these applications will leap to "pragmatists" quickly and grow in importance and use quickly. What are these other sensors you ask? How about a device that accurately monitors how many calories you are burning? Or a personal pollutant sensor? Location will be extended to monitor social proximity and we'll also know more and more about an individual's activities while with others based on text, audio, and visual content collected and correlated based on content location tagging.

Our mobile phones have been turned into a global distributed sensor network. These devices will contain an increasing level of sophistication in what they are able to sense and transmit into networked database that will then overlay and correlate data from other sources. In a recent guest post for TechCrunch Robert Scoble imagines how this new world of location based services will change the way we live -- Location 2012.

And really, this is just the beginning.

The Strategic Use of Social Data

There is a tidal wave coming, or as my friend and colleague Andreas Weigend likes to say, a "Social Data Revolution." I like the metaphor of the tidal wave because it evokes the image of a force of nature that cannot be stopped whereas "revolution" might fail or be reversed by "counter-revolution." And I don't think the change coming can be stopped or reversed.

In the past few weeks since attending a fabulous workshop in Zurich hosted by the Gottlieb Duttweiler Institute I have been even more attuned to the emerging corporate practices in which social data is informing decision making processes. A few examples:

• A retailer checking to see if your email address is active on a range of social networks as a way of deciding whether or not to clear your online order


• A credit card company that has realized that customers who have extensive and long standing LinkedIn profiles are significantly less likely to default on their credit cards


• An insurance company that is making decisions about which insurance claims to further investigate based on the social graph of the claimant


• An enterprise IT equipment company that has modified its sales lead scoring algorithm to include a variety of factors from activity in social networks and social media


• An appliance manufacturing company that has reduced the delay in knowing that they have a product defect issue by two months by monitoring online conversation rather than waiting for data from their field repair organization

The list goes on. Companies of all kinds, in every industry and region, are discovering that there is an enormous pool of information -- call it social data -- that is being created at an every increasing pace from which they can learn more, and make better decisions more quickly.

This trend will only accelerate with advanced mobile technologies. Every individual now has the capability of being a "sensor" in their physical environment, recording and transmitting physical data (location, speed, etc) but also behavioral and emotional data. When people walk into a particular store, say Starbucks, are they happier than before they walked in? How does that one store's data compare to other stores in the area?

AMBIENT INFORMATION MEETS BUSINESS INTELLIGENCE
For the past ten years we have been building out a network of sensors in roadways that can transmit data about the speed of passing vehicles and allow us to aggregate that data into a visualization (typically a map) to help us decide which roads we should choose to get from point A to point B. This is an example of data-driven decision making with which we have all become familiar.

Now every person is a "sensor" and is using their computer or mobile phone to transmit information into public (and private) databases. Businesses must learn how to build the analytical models and visualization tools to give their employees the equivalent of a map in order to comprehend this information and use it to make better decisions.

The companies that utilize these tools effectively in their industries will have an enormous strategic advantage over their competitors. The time to join the tidal wave or revolution is now.