Thanks to predictive modeling and artificial intelligence (AI), marketers can now leverage these tools to segment audiences beyond traditional parameters and build a more accurate profile of consumers.
By using AI, it is possible to segment audiences at more granular levels and identify which ones are most valuable to marketing objectives.
Thanks to advanced Big Data techniques that make it possible to collect and analyze large volumes of mobility data, it is possible to establish where consumers live and where they go before visiting a shopping mall or supermarket.
Today, business leaders have access to Business Intelligence solutions that are based on millions of anonymized data generated every second by cell phones, records that allow increasingly accurate estimates of the levels of affluence received by commercial establishments.
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.
Using today's technology, it is possible to know and accurately monitor consumer mobility, identify the places they visit, how often they do so, at what times and on what days, and transform this mobility and pedestrian flow data into solutions for optimizing commercial and marketing strategies.
People mobility is a concept that covers much more than just movement.
Using big data management techniques, it is possible to know, with greater precision than with traditional methods, the socio-demographic characteristics, tastes, preferences and interests of consumers living in a specific area of a city or of groups of people who visit particular stores.
Nowadays, with the large volumes of data that exist, it is possible to examine absolute and relative numbers of potential customers of a shopping center or business that are in any other location.
It is estimated that in Central America close to one million people express interest in soups in the digital environment, being Ramen, Curry and Maggi, some of the terms most associated by consumers with high purchasing power with the subject.
An analysis of the interests and preferences of consumers in Central America, prepared by the Business Intelligence Area of CentralAmericaData, yields interesting results on the preferences and tastes of people in various foods, products, services and activities.
By collecting and analyzing the information that Internet search engines store on the queries that consumers make, it is possible to know with a high degree of precision what their interests are and to look for patterns or trends that help to measure performance indicators for a specific topic.
Through systems that provide real-time monitoring of changes in consumer interests and preferences in different countries, it is possible to project short- and long-term demand trends for the different products, services, sectors and markets operating in the regions.
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.
During the first quarter of 2021 in the countries of the region, consumers increased their interest in beer, motorcycles, vegetarian food, spa services, air travel, extreme sports and apartment rentals.
Through a system that monitors in real time changes in consumer interests and preferences in Central American countries, developed by CentralAmericaData, it is possible to project short and long term demand trends for the different products, sectors and markets operating in the region.
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.
As of March 29, 2021, Law 81 on Data Protection came into force in Panama, a legal framework that requires consumers to be asked for authorization for their information to be used.
According to the text that regulates these practices, "... those responsible for data processing may only transfer information about them when they have the prior, informed and unequivocal consent of the owner."
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.
After consumers in the region increased their interest in pest control in the context of the covid-19 outbreak, in the second half of 2020 and in January 2021 the number of interactions associated with pest control services dropped considerably.
Through a system that monitors in real time changes in consumer interests and preferences in Central American countries, developed by CentralAmericaData, it is possible to project short and long term demand trends for the different products, services, sectors and markets operating in the region.
In order to obtain truthful and accurate information free of any bias, it is preferred to analyze consumers through their online behavior, because when conducting traditional surveys, people tend to lie to give a good impression.
Although the most recommended is to analyze large volumes of data that are generated by consumers when interacting in the digital environment, surveys can work under specific conditions.