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.
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.
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.
During the first half of 2021, consumers in Central American countries increased their interest in comics, martial arts, motorcycles, vegetarian food, spa services, air travel, weight loss products and sporting goods.
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.
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.
Defining the design of a shopping center, determining the mix of store types and the optimal size of stores to maximize the benefits of commercial areas, are objectives that can be achieved through the proper analysis of large volumes of data.
The volumes of data being generated in the digital environment every second enables business leaders to make well-informed decisions that are based on the analysis of empirical evidence.
The large volumes of information that are generated at every moment in the digital environment allow transforming data into maps, tools that serve for the development of Business Intelligence solutions that are used by business leaders in all sectors.
After associating spatial or geographic information with phenomena that decision makers are interested in knowing and analyzing, it is possible to transform the data into digital maps, tools that allow companies to understand the environment of the locations of a commercial establishment, optimize their commercial routes, among other uses.
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.
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.
During January of this year in the countries of the region, consumers increased their interest in vehicle and home insurance, advertising services, motorcycles, vegetarian food 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.
Thanks to the digitalization of writing and the rise of Internet searches and interactions, words have become very valuable inputs for statistical models and algorithms that allow inferring and reaching very precise conclusions about consumer behavior, among other uses.
Today, language has become the subject of big data analysis. Since the links used by Google are composed of words and the searches performed on that page are also composed of words, the study of text as data is becoming increasingly important.
Brands offering a deeper and more emotional added value, delivering to their customers with immediacy and executing business strategies from a more local perspective are the most likely to succeed in this new commercial reality.
The outbreak of covid-19 and the mobility restrictions imposed by this pandemic significantly changed consumer behavior and perceptions of brands.
Because more than half of consumers born between 1996 and 2012, known as "Generation Z" or "Centennials", are immune to traditional advertising and television, brands and companies should focus on communicating with this group through digital channels, such as social networks and influencers.
Positioning a brand, product or service is currently a challenge for advertising agencies and companies, as they must overcome the challenge of communicating effectively with younger consumers.
Food, beverages, liquor, household and personal care items are the categories that are expected to drive the rise in consumption levels in Central America during the last month of the year.
Despite the fact that 2020 has been a complex year for all business sectors, due to the covid-19 outbreak that generated a serious economic crisis in all Central American countries, sales are expected to increase considerably in December.
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.