Supermarkets can apply location intelligence techniques and footfall analytics to understand consumer mobility patterns, generate efficient site selection strategies, understand the performance of their stores, and estimate competitor turnover.
The correlation between foot traffic visitation, sales, and the success of retail supermarkets 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.
Supermarkets can apply location intelligence techniques and footfall analytics to understand consumer mobility patterns, generate efficient site selection strategies, understand the performance of their stores, and estimate competitor turnover.
The correlation between foot traffic visitation, sales, and the success of retail supermarkets have been studied and proven, so the development of this type of analysis has become a priority in the site selection process and expansion modeling.
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.
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.
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.
Mobility data analytics are transforming the way commercial strategies are defined in the retail business, and supermarket chains are no exception.
Understanding what consumers think, what they want and what they do is critical for companies in the retail sector. This is where Big Data tools play an important role, as it is possible to measure the affluence at a location and customer behavior, among other aspects.
In the last week of May 2021, El Salvador, Nicaragua, Honduras, Dominican Republic and Guatemala were the economies in which the number of people visiting establishments identified as supermarkets was considerably higher than the figures reported before the pandemic.
In the first five months of the year, and in the context of the reactivation of commercial activities, more Central American consumers have visited locations identified as supermarkets and pharmacies.
Between March and April, Walmart opened five new stores of the Palí format, located in Heredia, San José, Alajuela, Cartago and Guanacaste.
The supermarket chain informed that the company invested close to $6.7 million to open these five new stores. With these recent openings, there are now 181 points of sale of the Palí format.
In the first week of April 2021, El Salvador, Nicaragua, Honduras, Dominican Republic and Guatemala were the countries in the region where the number of people visiting establishments identified as supermarkets was higher than the figures reported before the pandemic.
Over the course of the months and in the context of the reactivation of commercial activities, more Central American consumers have visited locations identified as supermarkets and pharmacies.
Analyzing the offerings of a supermarket, department store or convenience store and examining what type of consumers frequent those establishments is key to establishing which chains a company's products should be present in to increase their profitability.
By analyzing large volumes of data, it is possible to combine information on the products that commercial establishments sell with details of the types of consumers that are attracted to the different chains.
Finding out how many people live in the surroundings of the establishment, their income levels, their ages and their tastes and interests, is fundamental information to measure the potential of a supermarket's location.
Using the Geomarketing solutions we have developed for our clients, CentralAmericaData's Business Intelligence team analyzed the environment of some of the main supermarket locations operating in Central American countries. Below is an excerpt of the study's findings.
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.
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.
At the end of January 2021, Nicaragua and El Salvador were the only two countries in the region where the number of people visiting establishments identified as supermarkets was similar to the figures reported before the pandemic.
As the months have gone by and in the context of the reactivation of commercial activities, more Central American consumers have visited locations identified as supermarkets and pharmacies.
Typical frozen foods, traditional beverages from the countries of origin and vacuum-packed fresh vegetables are some of the products that have sales growth potential in U.S. supermarket chains.
There are many opportunities for companies in the region, since it is estimated that two out of every three products placed on the shelves of U.S. supermarkets are of Latin American origin.
Following the implementation of the economic reopening process, in early November in some countries of the region the number of people visiting establishments identified as supermarkets was similar to the figures reported before the pandemic.
In mid-April 2020, the concentration of people in residential areas of cities reached its highest level, a situation explained by the mobility restrictions imposed by the covid-19 outbreak.
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