Consumer Mobility as DataUsing 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.Friday, June 4, 2021
People mobility is a concept that covers much more than just movement. It involves understanding where they travel, from where they come from and to where they go, what places they visit, at what times of the day and on what days of the week. There are now multiple ways to calculate it, from records generated on Internet sites to information provided by cell phones. The latter has proven to be the best option, as most people now have a mobile device. Visualization showing the location of consumers and the distribution of pedestrian flow at the point according to days of the week, hours of the day and socioeconomic level. The data analyst clarifies that "... this type of data does not affect anyone's privacy, as it is impossible to identify a specific person from the information used. All data is anonymous." Information from mobile devices showing concentration levels, based on consumer location. Learn about PREDIK Data-Driven, our new global brand. ¿Busca soluciones de inteligencia comercial para su empresa?Do you need Business Intelligence solutions? Contact UsNeed assistance? Contact us
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Big Data to Understand Consumer MobilityJune 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. 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. Mobility Data and Value for the Retail SectorJune 2021 Through the management of large volumes of data, it is possible to understand the pedestrian mobility of an area or city, and from this, predict the sales potential of a business according to its location and the characteristics of consumers who pass through the surrounding area. Big Data Vs. SurveysJuly 2020 Does it make sense to keep doing surveys to evaluate, for example, the ranking of a brand, when all the real, honest, and unbiased information can be inferred from people's behavior on the Internet?
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