Retail store expansion strategies are one of the most fundamental issues for growing retailers. Opening a new store can be a game changer if you get the location right, or your new store could be doomed to failure if the location doesn’t attract enough customers.
In addition to geographical factors, such as transportation accessibility and real estate prices, demographic factors and mobility patterns in the areas of interest play a key role in decision making. These data on population, purchasing power and consumption habits are what generate an optimal expansion strategy.
The secret to site selection in such a competitive market is based on the ability to analyze the right data and be able to understand and interpret the site selection strategies of nearby locations to stay ahead of their expansion plans and gain a competitive advantage.
Where? This is the fundamental question that guides any site selection decision. Tools such as location intelligence and footfall analytics enable the aggregation, analysis and visualization of spatial data and bring significant advantages to the site selection process.
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 companies to analyze movement patterns around specific locations, such as retail stores, to extract meaningful information.
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 otherwise be more difficult to recognize.
Supermarkets can apply location intelligence techniques and footfall analytics to understand consumer mobility patterns, generate efficient site selection strategies, understand the performance of their stores, and estimate competitor turnover.
The correlation between foot traffic visitation, sales, and the success of retail supermarkets have been studied and proven, so the development of this type of analysis has become a priority in the site selection process and expansion strategies.
Identifying mobility patterns and classifying consumers within a point of sale or areas of interest helps large retail fast fo measure foot traffic in and out of their stores while understanding the behavioral patterns of their consumers.
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 the site selection process and expansion strategies.
Pharmaceutical companies need to apply location intelligence techniques and foot traffic analytics to identify consumer mobility patterns, in order to maximize sales and generate more efficient expansion models.
The correlation between foot traffic, sales, and the success of pharmacy franchises have been studied and proven, so the development of this type of analysis has become a priority in the site selection process and expansion modeling.
Supermarkets can apply location intelligence techniques and footfall analytics to understand consumer mobility patterns, generate efficient site selection strategies, understand the performance of their stores, and estimate competitor turnover.
The correlation between foot traffic visitation, sales, and the success of retail supermarkets have been studied and proven, so the development of this type of analysis has become a priority in the site selection process and expansion modeling.
Organizations rely on the effective use of big data and geomarketing techniques as the backbone of all their processes and decision making, reducing the risks of new investments associated with expansion plans and new store openings.
At PREDIK Data-Driven we support global corporations to optimize their expansion strategies with 100% data-driven methodologies.
In the competitive retail market, in-store analytics helps retailers to better monitor and understand their customers while providing valuable information on the actual point-of-sale performance.
This type of analytics has become an indispensable part of the operational strategy of brick & mortar retail stores. Its benefits can also be reflected in other areas, such as marketing, merchandising, and fraud prevention.
Understanding mobility and identifying points of interest help large retail office products suppliers to measure foot traffic in and out of their stores and to better comprehend the behavioral patterns of consumers.
The correlation between foot traffic, visits, sales, and the success of retail office products suppliers has been studied and proven, so the development of this type of analysis has become a priority in the site selection process and expansion modeling.
Retail home improvement franchises need to apply location intelligence techniques and foot traffic analytics to identify consumer mobility patterns, in order to maximize sales and generate more efficient expansion models.
The correlation between foot traffic, visits, sales, and the success of hardware home improvement franchises have been studied and proven, so the development of this type of analysis has become a priority in the site selection process and expansion modeling.
Retailers can apply location intelligence techniques and foot traffic analytics to understand consumer mobility patterns, measure foot traffic at each store, understand the performance of their outlets, and estimate competitor turnover.
The correlation between foot traffic visitation, sales, and the success of retail apparel franchises have been studied and proven, so the development of this type of analysis has become a priority in the site selection process and expansion modeling.
Retailers are already implementing Big Data tools such as location intelligence and foot traffic analytics to understand consumer mobility patterns, measure foot traffic at each store, understand the performance of their outlets, and estimate competitor turnover.
Mobility analytics and location intelligence play an important role in business by helping to understand the behavioral patterns of consumers in any given zone of interest or point of sale.
Pedestrian flow analysis, location intelligence and point-of-interest categorization have revolutionized the way retail and wholesale industries implement expansion, commercial and operational strategies in the pharmaceutical sector.