How to profile mall visitors?
Tuesday, December 21, 2021
POI characterization through Big Data has become more frequent as it allows the implementation of strategies and site selection solutions within the various business sectors.
Leaders use these techniques to make more efficient and concise decisions that generate greater profitability by maximizing revenues and optimizing costs.

Case Study: Visitor profiling at Perisur, one of the most exclusive shopping malls in Mexico City.

PREDIK Data-Driven conducted a detailed study of Perisur Mall, the third-largest shopping mall in Mexico City. Through a foot traffic analysis and POI characterization of the people who visited this shopping mall, we estimated the footfall, identified the most and least crowded places, visitors classification, observations per day, the most and least visited places by customers of the establishment as well as their relative wealth index characteristics.

In this case study, we analyze the foot traffic and the immediate surroundings of the point of interest, with the objective of identifying the behavioral patterns of the people who visit the establishment. Read the full article here



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