Footfall analytics: The largest Starbucks in India

Footfall analytics and POI characterization through Big Data are being used by retail industry leaders to make smarter business decisions, by maximizing revenue and optimizing costs.

Wednesday, December 15, 2021

Case Study: Footfall analysis of the largest Starbucks Coffe in Bangalore India

At PREDIK Data-Driven we conducted a detailed study of Starbucks Coffe, the largest physical store in Bangalore, India. Through a footfall analysis and POI characterization of the area and people who visited that establishment, we estimated the foot traffic, identified the most and least crowded places, classified the users who visit, live or work in the area, the observations per day, the most and least visited places by the establishment’s customers 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 people visiting the establishment. This analysis aims to answer the following questions:

Which areas and locations have the highest concentration of foot traffic

Generating a heat map covering the entire POI analyzed, around the Starbucks, the most prominent foot traffic areas are Shantala Nagar, Ashok Nagar, Sampangirama Nagar, and Shanti Nagar. these are the places where the highest mobility around the establishment is concentrated. Read the full article here


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