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 […]
Foot traffic analytics in Madrid: McDonald’s Vs. Burger King
Foot traffic analytics have revolutionized the way retailers implement site selection, commercial and operational strategies in the quick-service restaurant franchise market. The correlation between location and footfall analytics, visits, sales, and the success of retail fast-food franchises have been studied and proven, so the development of this type of analysis has become a priority in […]
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 […]
Micro-mobility to determine where to locate retail stores
Micro-mobility analytics improve retailers’ expansion strategies by accurately identifying consumer demographics, understanding customer behavior, and understanding how their competitors are performing. Micro-mobility is a methodology that combines geospatial data and foot-traffic analytics to solve several problems and improve site selection strategies by helping to understand how people move around specific brick n’ mortar locations, allowing […]
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 […]
Foot traffic analytics in Spain: McDonald’s Vs. Carls Jr.
Foot traffic analytics have revolutionized the way retailers implement site selection, commercial and operational strategies in the quick-service restaurant franchise market. The correlation between location and footfall analytics, visits, sales, and the success of retail fast-food franchises have been studied and proven, so the development of this type of analysis has become a priority in […]
POI Analytics: Vega City Mall Bangalore
By applying POI analytics through spatial data, shopping centers can measure foot traffic and understand consumer behavioral patterns. Leaders use these techniques to make more efficient and concise decisions that generate greater profitability by maximizing revenue and optimizing costs. Case Study: POI Analysis of Vega City Mall in Bangalore, India At PREDIK Data-Driven we conducted a […]
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 […]