For years, offline merchants have been acquiring data about you in attempts to personalize your experience through loyalty and rewards cards, credit card data, and surveys. But the problem is these interactions occur after it’s too late: at the point of sale. You’ve already checked out and are leaving the store, or have ordered dinner. For a merchant to convince you to add an extra item to your shopping cart, or buy an appetizer with your meal, the interaction must happen sooner.
Online check-ins, as a trend and use-case, have created a remarkably compelling opportunity for offline merchants to interact with consumers who are in the store before the sale happens. When you announce you’re at a store or restaurant by checking into Foursquare or Facebook Places, for example, your experience can be shaped and molded in compelling ways.
This is precisely why check-ins are incredibly powerful—they give the offline merchants an opportunity to shape your behavior before you buy or consume. Unfortunately, check-ins alone provide little value to merchants in the absence of contextual data about you. And checking into a place definitely does not equate to liking it. Imagine how many restaurants you visit, then consciously decide to never return to. Without a feedback loop this context will be used erroneously for future offers and recommendations.
The real power in converged online/offline interactions will come from a hybrid of realtime contextual offers, deals, and advertisements which can change a consumer’s behavior long before any transaction occurs. Recommendations and offers that take into account nearly everything about you as an individual.
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