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

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.

Wednesday, June 23, 2021

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.

Using innovative Big Data tools and the application of appropriate methodologies, in addition to determining the levels of customer traffic in commercial establishments and estimating their consumption capacity, it is also possible to infer consumer movement patterns.

CentralAmericaData carried out a comparative analysis of the levels of affluence reported in the establishments that in the State of California, USA, are operated by the hardware store chains The Home Depot and Ace Hardware.

For this study, the data generated during 14 days by the cell phones of consumers who visited these establishments was used.

The study's fact sheet specifies that, in order to create the report on the behavior of visitors to the hardware stores under analysis, almost 40 thousand observations were obtained.

Details of some of the main findings:

-The highest levels of affluence at The Home Depot are reported on Sundays, Tuesdays and Thursdays.
-The highest levels of affluence at Ace Hardware are reported on Sundays and Wednesdays.
-From 6 p.m. to 8 p.m. is the time when most people visit The Home Depot stores, and in the case of Ace Hardware, its stores have the highest affluence at 2 p.m.

-From the 40 thousand observations, it was established that out of every 100 consumers, 93 visit The Home Depot and 7 prefer to go to Ace Hardware stores.




This is just a fragment 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 types of complementary information.

¿Busca soluciones de inteligencia comercial para su empresa?

Do you need more information about this type of solution? Contact Us









this site is protected by reCAPTCHA and Google's privacy policy and terms of service.
Need assistance? Contact us
(506) 4001-6423


More on this topic

How to Increase Foot Traffic in stores?

August 2021

In the digital age, location intelligence and foot traffic analytics based on mobility data are changing the retail business, giving many retailers an edge over their competitors.

Location intelligence is defined as a methodology for understanding and visualizing mobility data to help solve a wide variety of retail problems.

Location analytics can drive retailers to success

August 2021

Retail companies are already implementing Big Data and geolocation analytics tools to understand consumer mobility patterns, measure foot traffic in each store, understand the performance at their points of sale and estimate competitors’ turnover.

Big Data techniques allow the recollection of large volumes of geospatial and anonymous data from various mobile devices such as cell phones, computers, tablets, etc., making possible to generate different detailed and general analysis that help to solve any kind of business problems in any specific sector.

Big Data to Understand Consumer Mobility

June 2021

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.

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.

ok