If location-based services began collecting the size and frequency of purchases across all locations and mining the data of check-ins (including likes and dislikes), they could begin to build the next generation of loyalty rewards programs comprised of customer, spending, location, and sentiment. Such a program would benefit location-based service providers, brands, and customers alike.
Take this example: if every day a consumer purchases a latte from Starbucks and then walks across the street to Dunkin' Donuts to pick up a turkey sausage flatbread, both companies could benefit from that information. If many customers display similar habits, Starbucks could add a similar breakfast sandwich to their menu or even discontinue their current breakfast fare at that location.
Take this example: if every day a consumer purchases a latte from Starbucks and then walks across the street to Dunkin' Donuts to pick up a turkey sausage flatbread, both companies could benefit from that information. If many customers display similar habits, Starbucks could add a similar breakfast sandwich to their menu or even discontinue their current breakfast fare at that location.
With a ripe opportunity for brands to use location-based data to power the next generation of loyalty programs, mining the rich data of check-ins will give companies a more holistic view of consumer behavior, which will help cultivate customer loyalty and drive sales. In short, when finally taken seriously, location-based services have the potential to become more than just a game — and much more than having bragging rights as mayor of a local haunt.
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