Retail footfall analytics: Media Markt
Foot traffic analytics and point-of-interest analytics help large consumer electronics retailers measure mobility and understand consumer behavior patterns in any given zone of interest or point of sale. Case Study: Media Markt in Madrid At PREDIK Data-Driven we conducted a detailed study of a retail franchise store dedicated to the sale of consumer electronics products […]
Advertising agencies and Big Data benefits
With advertising analytics based on big data techniques, marketers can quickly determine the effectiveness of each channel and thus adjust their strategies, enabling them to run hyper-targeted campaigns, choosing the right ad content for the appropriate ad networks. What is it? This type of analytics refers to the use of data and technology tools that […]
Benefits of route planning with location intelligence
Location intelligence measures travel behavior accurately and comprehensively, identifying why last-mile delivery is often the least profitable in the supply chain, traffic dynamics and transportation congestion. Intelligent route optimization using geospatial data plays a crucial role in determining which vehicles to choose over possible routes and junction points to optimize the flow along the chain […]
Predictive modeling for site selection strategies
Retailers need to use predictive modeling and combine it with business, customer, and market data in order to forecast sales or new businesses profitability. Predictive modeling is a highly effective way to identify a suitable area for expansion strategies, as it has become a vital tool for narrowing down hundreds of potential sites or even […]
Which shopping center should I choose to open my store?
The key to attracting potential customers to any new location is to determine its foot traffic potential, the use of geospatial data combined with footfall analytics makes the retail site selection process easier, faster, and more reliable. At PREDIK Data-Driven we support corporations by optimizing their site selection strategies with 100% data-driven methodologies. One of […]
Location intelligence to optimize commercial strategies
Location analytics rely on anonymized geospatial data from mobile devices, which can be used to gather information on foot traffic trends and typical profiles of consumers visiting a specific area or zone. Location intelligence collects and analyzes competitive data, helping to gain a deep understanding of customers, market, and competitor strategy, identifying opportunities that would […]
Location analytics to improve shopping centers performance
Location intelligence is a key tool that shopping center managers should use since, via people’s location and mobility data, they gain valuable insights such as how much time consumers spend in stores and how often they visit. Shopping centers can use this technology to collect geospatial data sets, transaction history, and point-of-sale data, as well […]
Starbucks and Seattle Coffee Company foot traffic comparison
Coffee shop owners need to apply location intelligence and mobility analytics techniques to identify consumer behavior patterns, in order to maximize sales and generate more efficient expansion models. Case Study Foot traffic comparison: Starbucks Cavendish Square y Seattle Coffee Company Salt River, Cape Town, South Africa At PREDIK Data-Driven conducted a mobility study around two […]
Location intelligence: Measuring footfall in malls
Foot traffic analytics and point-of-interest analytics help shopping malls to understand consumer behavior patterns in any given zone of interest or point of sale. Case Study Foot traffic analytics: Miraflores Plaza Mall, Guatemala City At PREDIK Data-Driven we conducted a POI and foot traffic analysis of a popular shopping mall in the city of Guatemala: Miraflores, which contains […]
Footfall around UB City Mall, Bangalore, India
Mobility solutions based on Big Data techniques have revolutionized the way luxury shopping malls understand the behavioral patterns of their visitors, profile their consumers, and make business decisions. Leaders use these techniques to make more efficient and concise decisions that generate greater profitability by maximizing revenue and optimizing costs. Case Study: POi Categorization of UB […]