Footfall analytics and POI characterization through Big Data are being used by retail industry leaders to make smarter business decisions, by maximizing revenue and optimizing costs.
Case Study: Footfall analysis of the largest Starbucks Coffe in Bangalore India
Location intelligence and footfall analytics can be valuable tools for wholesale distributors to maximize their revenue, optimize their processes and choose the best distribution routes for their pickup and last-mile delivery processes.
The correlation between foot traffic patterns, visitation, sales, and the success of wholesale food distribution companies has been studied and proven, so the development of this type of analysis has become a priority in the process of site selection, supply chain process optimization, and expansion modeling.
Location intelligence through techniques based on Big Data collects spatial data in order to improve the decisions made in logistics centers, allowing the use of location and its related data points, creating solutions and optimizing distribution routes.
This new technological tool finds its immediate application in space-dependent businesses, such as delivery and logistics companies. The data collected through infrastructure sensors, cameras and traffic mapping not only allows them to determine the best locations for their businesses, warehouses and centers, but also allows them to know why certain locations have a direct impact on the success or failure of a business.
Foot traffic and location analytics help wholesale distributors maximize profits, allowing them to reveal where operational inefficiencies are and then implement solutions in problem areas.
Big Data technological tools and spatial data play a very important role in business by measuring footfall and helping to understand consumer behavior patterns in any given area of interest or point of sale.
Location intelligence is revolutionizing the way companies establish, operate and expand their business.
From deciding where to locate a new store to analyzing foot traffic to gauge market competition, the use of location data is growing.
One of the key components of location intelligence is data related to points of interest (POIs). POIs indicate a specific location in an area of interest to businesses: it can be a store, a hospital, a university, or a corporate building, among others, depending on the information required for the particular target, helping companies make faster, more informed and cost-effective decisions.
Location and Footfall Analytics has changed the way retailers implement marketing and commercial strategies in the fast-food restaurant franchise business.
Understanding consumers’ mobility behavioral patterns are critical for all types of restaurants. Big Data tools and spatial data play a very important role in these analyses since they make it possible to measure the foot traffic and mobility patterns of any area or point of interest. By performing these studies, businesses understand and predict the performance of their stores, as well as estimate the competitors’ turnover or identify areas for expansion planning. (site selection)
Location Analytics has changed the way marketing and commercial strategies are defined in the fast-food restaurant franchise business.
Understanding consumers’ behavior patterns is critical for all types of restaurants. Big Data tools play a very important role in this analysis, since they make possible to measure the foot traffic and mobility patterns of a specific area or location, among other variables. With these analyses, businesses can understand and predict the performance of their stores, as well as estimate the competitors’ turnover or identify areas for the opening of new locations. (site selection).
New data management methodologies now allow retailers to take advantage of even the smallest piece of information to generate valuable insights that help optimize their marketing and customer loyalty strategies.
What promotions do we do to get more customers to the point of sale?
The I Shop, which is located in San Salvador's Multiplaza shopping center, has a potential market of 380,000 consumers 15 minutes away by car, and 39% of them are interested in tablets, and 14% in desktop computers.
Using the Geomarketing solutions we have developed for our clients, CentralAmericaData's Trade Intelligence team analyzed the environment of some of the main locations of establishments dedicated to the sale of consumer electronics equipment, such as cell phones, laptops, desktops and other items, operating in the countries of Central America. Below is an extract of the study's findings.
How many people live around a shopping center, how old they are, what is their consumption level and what products or services they are looking for, are some of the questions that can be answered with the new geomarketing tools.
Measuring the potential demand of micro markets, based on the evaluation of the environment of a shopping center and its comparison with other similar sales points, has become essential to design adequate commercial strategies.
The Mega Mall is a sales point in San Pedro Sula, Honduras, which holds a captive market of more than 78 thousand people, which can be covered with home delivery just five minutes away by car.
At CentralAmericaData we developed a geomarketing tool based on interactive isochronous maps, through which you can identify where people are and what characteristics they have as consumers. The map incorporates, for any Central American country, the variables population, income and average monthly expenses. With this information, it is possible to identify potential clients and define promotional strategies accordingly, or also explore home delivery times from any point of sale.
The Galerias Shopping Center in Escalon and its surroundings is a commercial point that in San Salvador has a large market of more than 318 thousand people, which can be covered with home delivery just 15 minutes away by car.
In CentralAmericaData we developed a geomarketing tool based on interactive isochronous maps, through which you can identify where people are and what characteristics they have as consumers. The map incorporates, for any Central American country, the variables population, income and average monthly expenses. With this information, it is possible to identify potential clients and define promotional strategies accordingly, or also explore home delivery times from any sales point.
Multiplaza Escazu and its surroundings is a commercial point that in Costa Rica monopolizes a captive market of more than 176 thousand people, which can be covered with home deliveries just 15 minutes away by car.
In CentralAmericaData we developed a geomarketing tool based on interactive isochronous maps, through which you can identify where people are and what characteristics they have as consumers. The map incorporates, for any Central American country, the variables population, income and average monthly expenses. With this information, it is possible to identify potential clients and define promotional strategies accordingly, or also explore home delivery times from any sales point.
The location of a sales point in any city in Central America can yield significantly different results, since the concentration of people on site, the expense they incur and the estimated time for home delivery in the area all have a significant influence.
In CentralAmericaData we developed a geomarketing tool based on interactive maps, through which it is possible to identify where people are and what characteristics they have as consumers.
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