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

Do you need to use this type of intelligence to guarantee the success of your business? contact us!

Your message has been sent. We will contact you shortly.

Name*

Last Name*

Email:*

Telephone (Country):*

Company:*

Title:*

Size of the Company:* Choose one... Less than 100 employees Between 100 and 500 Between 500 and 2500 More than 2500

Industry:* -None- Agro Alimentos y bebidas Construcción e infraestructura Banca y finanzas Farmacéutica y salud Servicios Retail Automotriz Energía y minería Química y plástico Bienes Raíces Educación Bienes de consumo Industria y manufactura Transporte y logística Telecomunicaciones Administración pública

Yes, I want to receive a call from a salesperson*

Comments:*  

this site is protected by reCAPTCHA and Google's privacy policy and terms of service.

Need assistance? Contact us

(506) 4001-6423

More on this topic

N1 City South Africa POI Analysis

December 2021

Footfall analytics and POI characterization through Big Data are being used by different business sectors in order to make smarter business decisions and thereby maximize their revenues and optimize their costs.

Case Study: POI analysis of N1 City in Cape Town, South Africa

Footfall analytics: McDonald’s Vs. Burger King South África

December 2021

Footfall analytics have revolutionized the way retailers implement site selection, commercial and operational strategies in the quick-service restaurant franchise market.

The correlation between location and footfall analytics, visits, sales, and the success of retail fast-food franchises have been studied and proven, so the development of this type of analysis has become a priority in the site selection process and expansion strategies.

How to profile mall visitors?

December 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.

Footfall analytics: Woolworths Food Vs. Shoprite South Africa

November 2021

Identifying mobility patterns and classifying consumers within a point of sale or areas of interest helps large retail supermarkets measure foot traffic in and out of their stores while understanding the behavioral patterns of their consumers.

The correlation between foot traffic, visits, sales, and the success of retail supermarkets has been studied and proven, so the development of this type of analysis has become a priority in the site selection process and expansion modeling.