Big Data to Understand Consumer Mobility

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.

Friday, June 25, 2021

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 addition to estimating the number of consumers attending a shopping mall or supermarket, it is also possible to infer people's movement patterns.

In this sense, studies can answer questions such as:

  • Where do the people who visit a certain mall or supermarket actually live?
  • What places do consumers frequent before visiting a commercial establishment?


CentralAmericaData carried out an analysis of consumers who visit the "Centro Comercial El Polo", located in the city of Lima, capital of Peru. The study's fact sheet specifies that, in order to create the report on the behavior of visitors to the shopping mall under analysis, more than one million observations were obtained.




Detail of some of the main findings:

-One out of every three consumers who visit the mall do so between 4pm and 7pm.
-Santiago de Surco and San Juan de Miraflores are the districts where most of the consumers who visit the mall are likely to reside.
-Commercial sites or premises located in the Monterrico and San Borja sectors are those frequented by people prior to visiting the mall.

These results are a small part of a business solution, which can be more detailed and in-depth, since it is possible to combine the records generated by cell phones with other complementary information.



More on this topic

Big Data: How Many Visits Receives My Store Vs. the Competition?

June 2021

Analyzing the number of consumers who visit the establishments of any retail company, establishing the days and hours of greatest affluence and comparing it with competing sales points, is possible with Big Data techniques that allow the collection and analysis of large volumes of mobility data.

The millions of anonymized data generated every second by cell phones in all markets around the world make it possible to make increasingly accurate estimates of the levels of customer traffic received by commercial establishments.

Central America: More Consumers Back to Supermarkets

June 2021

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.

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.

Strategic Location = Successful Business

March 2021

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.

Agustina Cobas
Content Director, CentralAmericaData

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