Retailers can apply location intelligence techniques 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.
The correlation between foot traffic visitation, sales, and the success of retail apparel 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 modeling.
Analytics based on Big Data allows mall operators to maximize revenues and visits by better selecting tenants, optimizing mall design, determining rents, establishing signage and advertising campaigns, etc.
New technological tools allow mall operators to measure the number of consumers spending in and out of stores, the time they spend in and out of stores, know their relative wealth index and understand visitor behavior patterns, helping to determine the best mix of stores, site infrastructure, rent price range and implement more efficient signage and advertising.
Big Data together with mobility analytics and location intelligence techniques allow increasingly accurate estimates of the levels of visits received by points of sale, revealing geographic patterns of brand loyalty and market penetration.
Get to know the competition and how they behave in the market is now possible, thanks to technological tools that provide an overview of mobile device activity associated with brand locations, helping to visualize a detailed picture of consumer engagement, brand loyalty, and market share.
Foot traffic data consists of spatial data (GIS), and is at the core of building intelligent strategies, transportation routes, processes and decision making in both public and private sectors.
What is it?
Foot traffic data associates people's movements with physical locations, and can be collected in different ways, such as WiFi signals, GPS from mobile devices and sensors, providing useful information for sectors like retail, real estate, agriculture, financial services, insurance, tourism, sports, entertainment, among others.
Customer analytics along with Big Data tools, predictive modeling and geospatial data are used to understand consumer needs, analyze price sensitivity, and the general behavioral patterns that customers follow when choosing products or services.
The analysis of customer information offers great advantages in strategy development, as customer interactions, consumer response and behavioral patterns, among others, can be monitored and predicted.
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.
In Costa Rica, most of the customers who make purchases through digital channels are young women, a good part of this group of people resides in San Jose and buy through social networks.
E-commerce has become important in all markets, especially since the declaration of emergency due to the outbreak of Covid-19 and the restrictions on the mobility of people imposed by Central American governments.
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.
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.
The Decatlón X store, located in Guatemala City in Pradera Zone 10, has a potential market of 225,000 consumers 15 minutes away by car, 47% of whom are interested in basketball and 9% in swimming.
Using the Geomarketing solutions that we have developed for our clients, CentralAmericaData's Trade Intelligence team analyzed the environment of some of the main locations of the establishments dedicated to the sale of sports articles, operating in the countries of Central America. Below is an extract of the findings of the study.
In Costa Rica, the number of people visiting commercial establishments, restaurants and entertainment venues has been rising in recent months, but consumption levels are still low, due to unemployment and limited income.
Because of the quarantine caused by the covid-19 outbreak, April was when people stayed longer in residential areas; however, according to Google mobility reports, as of June mobility patterns began to change.
Although in Central America the period of mandatory confinement has been exceeded, it is still a priority for consumers in the region to spend their free time in their homes and to devote themselves to household cleaning and home cooking.
It has been six months since the first cases of covid-19 were detected in the region. When the outbreaks began, governments chose to subject consumers to strict household quarantines, a measure that affected not only the economy but also people's behavior in the medium term.
In Central America, nearly 11 million people are looking to make seasonal purchases online, and of this group of consumers, approximately 30% explore options for purchasing Christmas items.
CentralAmericaData's interactive information system monitors in real time the changes in consumer habits in all markets of the region, with fundamental information to understand the current commercial environment in which companies of all industries must operate.