Strategic Location = Successful Business

Whether it is a restaurant, a coffee shop, a hotel, a supermarket, or an auto parts store, location is, if not the most important, one of the most decisive factors in determining the success or failure of a business.

Monday, March 29, 2021

Agustina Cobas
Content Director, CentralAmericaData



Real estate companies, restaurants and retail chains know better than anyone how valuable and decisive it is for the success of a business to find the best location. Technology, together with the new Big Data analysis methodologies, now allow to simplify part of this complex process of location selection, analyzing in detail the pedestrian flow in each location.

You may be interested in "Geomarketing and expansion plans: Real cases of success"

Everyone knows that every year hundreds of businesses, large and small, fail around the world because of poor decisions in the process of selecting the location for the point of sale, among other factors.

Whether it is a restaurant, a coffee shop, a hotel, a supermarket, or an auto parts store, location is, if not the most important, one of the most decisive factors in determining the success or failure of a business.

Recent technological advances, coupled with the increasing availability of information, are helping more and more to reduce the uncertainty gap that normally exists about the future performance of a new point of sale.

One of the main advances has to do with how to estimate foot traffic at a given location. Now it is possible, among other things, to estimate with a high degree of accuracy how many people enter a shopping center every hour, how many pass through a certain avenue at a certain time of the day, or, for example, how many people enter and leave an industrial distribution center, without the need to have a person at the entrance of the place to manually count those who enter.

For example, it is possible to identify not only how many people pass through the door of a store or hospital each day, but also where they come from.


(Illustrative image showing the mobility of people. Each blue dot corresponds to a device at a specific time and location).


Therefore, a department store chain could, for example, estimate how many potential consumers visited its doorstep over the course of a month and did not enter, and of these, how many were previously at a competitor's point of sale.

With more layers of information, the analysis becomes even richer.


When other layers of information are added to the pedestrian flow data, such as the socio-demographic characteristics of people, or their tastes and preferences, the value of the analysis grows exponentially.

By crossing these layers of information, it is possible to further optimize the search and selection of the most suitable areas to open, for example, a sporting goods store. It is possible not only to measure the pedestrian flow in a given street, but also to cross-reference it with data on the interest in sports expressed by people passing through the area in question.

The uses and applications of data are multiple. Contact us to show you what we can do.









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

Competitor analytics: Home Depot Vs. Lowe’s home improvement

November 2021

Retailers are already implementing Big Data tools such as location intelligence and foot traffic analytics to understand consumer mobility patterns, measure foot traffic at each store, understand the performance of their outlets, and estimate competitor turnover.

Footfall analytics, location intelligence, and POI analytics have revolutionized the way the retail and home improvement industries implement expansion, commercial and operational strategies.

Footfall analytics: Costco Wholesale Vs. Sam's Club

October 2021

Big Data technological tools and spatial data play a very important role in business by measuring footfall and helping to understand consumer behavior patterns in any given area of interest or point of sale.

Footfall analytics, location intelligence and point-of-interest categorization have revolutionized the way the retail and wholesale industries implement expansion, commercial and operational strategies in the franchised warehouse clubs.

Visits battle: Whole Foods Market vs. Sprouts Farmers Market

October 2021

Understanding consumer mobility patterns is critical for all types of businesses. Big Data tools, spatial data, and anonymized and aggregated mobility data play a very important role in these analyses, as they enable the measurement of foot traffic and consumer behavior patterns in any given area or point of interest.

Foot traffic analytics, location intelligence, and point-of-sale categorization have revolutionized the way retailers implement expansion models, commercial and operational strategies in the supermarket franchise focused on more organically sourced products.

Traditional Channel: How to Increase Profitability?

April 2021

Determining if the highest possible profitability is being obtained at each point of sale and if the establishments with the greatest billing potential are being reached, is part of what can be solved with geomarketing solutions.

Through Big Data management techniques, it is possible to collect, validate and analyze large volumes of information for all types of points of sale, such as convenience stores or grocery stores that operate in Central American countries.