Location analytics to improve shopping centers performanceLocation 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.Monday, January 24, 2022
Shopping centers can use this technology to collect geospatial data sets, transaction history, and point-of-sale data, as well as other business processes for in-depth geographic analysis by providing demographic data on adjacent businesses, including competitors. Do you need this kind of intelligence to secure the success of your business? contact us!Need assistance? Contact us
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How to profile mall visitors?December 2021 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. Competitor analytics: Home Depot Vs. Lowe’s home improvementNovember 2021 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. Visits battle: Whole Foods Market vs. Sprouts Farmers MarketOctober 2021 Understanding consumer mobility patterns is critical for all types of businesses. Big Data tools, spatial data, and anonymized and aggregated mobility data play a very important role in these analyses, as they enable the measurement of foot traffic and consumer behavior patterns in any given area or point of interest. Business: Geospatial Data Uses and ApplicationsJuly 2021 While an increasing number of companies are extracting value from the proprietary data they generate in business, few are doing so with the perspective of how location data and spatial analytics can improve their business processes and workflows.
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