LBA for Shopping Centers

Large shopping malls often initiate activities to increase profits, such as themed fairs, visitor surveys and more. LBA empowers shopping mall operators by providing tools necessary to generate business intelligence and identify new trends in visitors' behavior. LBA identifies correlations between stores (stores often visited by the same person), the order in which stores are commonly visited (e.g. "store A is the first store visited in 73% of the time"), and can analyze and categorize "shopping spree" behaviors which provide information correlating between multiple stores and businesses.

LBA also identifies "hot spots" in the mall's area which are relevant to specific types of populations (For example, a hotspot relevant to people shopping for toys could be used with attractions for kids). LBA identifies routes taken through the mall and between stores, and the time frames involved: changes in visiting hours, correlation between visiting hours and the shops visited, average time at each shop, average return times, etc.