N1 City South Africa POI Analysis
Footfall analytics and POI characterization through Big Data are being used by different business sectors in order to make smarter business decisions and thereby maximize their revenues and optimize their costs. Case Study: POI analysis of N1 City Mall in Cape Town, South Africa At PREDIK Data-Driven we conducted a detailed study of N1 City […]
Footfall analytics: McDonald’s Vs. Burger King South Africa
Footfall 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 the […]
How to profile mall visitors?
POI characterization through Big Data has become more frequent as it allows the implementation of strategies and site selection solutions within the various business sectors. Leaders use these techniques to make more efficient and concise decisions that generate greater profitability by maximizing revenues and optimizing costs. Case Study: Visitor profiling at Perisur, one of the […]
Foot traffic analytics in Madrid
Heat maps are used by any business sector to identify foot traffic and vehicular mobility patterns in an area or point of interest, as their visualization presents multiple pieces of data in a way that makes immediate sense. Heat maps can be used to identify foot traffic patterns from a country-level scale to a more […]
Footfall analytics: The largest Starbucks in India
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 At PREDIK Data-Driven we conducted a detailed study of Starbucks Coffe, the largest physical store in Bangalore, India. […]
How to determine audiences with artificial intelligence?
Understanding your target audience is more crucial than ever for almost all businesses. Accurate audience targeting gives businesses an advantage. It can create more relevant offers that appeal to customers. This leads to higher conversions and better return on investment. How AI Transforms the Landscape of Audience Targeting Breakthroughs in Artificial Intelligence (AI) have revolutionized […]
Foot traffic in pharmacies: CVS Pharmacy Vs. Walgreens (Case Study)
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. Foot traffic analytics and location intelligence are two powerful tools. They provide valuable insights into people’s movements, behaviors, and preferences in specific geographical areas. What is foot […]
Footfall analytics: Walmart Vs. Kroger, US
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 […]
Location intelligence for Retail Expansion Plans: Case Study
Companies rely on the efficient use of big data and location intelligence techniques as the axis of all their decision-making process, reducing the risks of new investments associated with expansion plans, site selection, or new store openings. At PREDIK Data-Driven we support global corporations to optimize their expansion strategies with 100% data-driven methodologies. One of […]
Retail analytics: PETCO Vs. PetSmart
Pet shop owners 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 pet shops franchises have been studied and proven, so the development of this type of analysis […]