For example, certain deals are only unlocked if you do certain tasks, such as check-in at a certain time of day. This could be enticing to venues because while something like a coffee shop may be busy in the morning, it may be dead in the afternoon, and may want a way to pull in more traffic at only that time. There are also incentives for users to check-in with friends, which obviously benefits the venues since it means more people in the store. There are also options to give customers real goods or virtual goods. Users will also have an easy way to see what specials they are close to unlocking.
Perhaps most significantly though, LooptCard will be built entirely on top of Facebook’s social graph, we hear. This means there is a low barrier to entry to gain new users who may be wary of signing up for yet another social network. This also means that it will be tightly integrated with Facebook Connect so that all of these deals and check-ins will pour back into users’ Facebook streams, upping the viral potential of both the app and the deal.
From: "Loopt To Start Pushing Check-In Specials Hard Using A New App And Facebook."
Loopt's recognition of real-time, personally relevant context for geopromotions is the first build I've seen take individual routines into account.
The behavioral data this kind of app has the potential to generate is the real Easter Egg here. Fascinating implications for mHealth design.