CONSUMER
How to Identify Audiences with Artificial Intelligence?
Dec-9-21 | Thanks to predictive modeling and artificial intelligence (AI), marketers can now leverage these tools to segment audiences beyond traditional parameters and build a more accurate profile of consumers.
Retail analytics: Sodimac Homecenter Vs. The Home Depot
Nov-10-21 | 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.
How to increase foot traffic in clothing stores?
Nov-4-21 | 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.
Competitor analytics: Home Depot Vs. Lowe’s home improvement
Nov-1-21 | 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.
How to Maximize Revenue and Visits in Shopping Centers?
Oct-18-21 | Analytics based on Big Data allows mall operators to maximize revenues and visits by better selecting tenants, optimizing mall design, determining rents, establishing signage and advertising campaigns, etc.
How to use POI analytics to understand commercial areas?
Oct-12-21 | Location intelligence and POI characterization through Big Data are increasingly being used to make business decisions in the retail, real estate, logistics, and port sectors, among others.
Big data and Market Share
Oct-6-21 | Big Data together with mobility analytics and location intelligence techniques allow increasingly accurate estimates of the levels of visits received by points of sale, revealing geographic patterns of brand loyalty and market penetration.
Expansion Plans Data Science Models
Sep-30-21 | Business intelligence and technology tools enable retail businesses to deeply analyze the behavior of their customers inside and outside their stores, in order to identify the ideal location for future expansion plans.
How does Data Analytics improve Outdoor Advertising?
Sep-28-21 | Location intelligence and mobility analytics allow companies to create Out-of-Home advertising strategies focused 100% on the tastes and preferences of the people who pass through each point.
Analytics to understand customers' behavior patterns
Sep-10-21 | Customer behavior analysis it's important because it helps businesses to understand how users interact with a brand, now it can be done in a more objective and real way using Big Data management techniques
Foot Traffic Data Business Benefits
Sep-7-21 | Foot traffic data consists of spatial data (GIS), and is at the core of building intelligent strategies, transportation routes, processes and decision making in both public and private sectors.
How to Increase Customer Dwell Time?
Aug-31-21 | Customer dwell time is an analysis that should be closely monitored to capitalize on the full potential of each point of sale, indicating greater customer satisfaction.
What is Customer Analytics?
Aug-4-21 | Customer analytics along with Big Data tools, predictive modeling and geospatial data are used to understand consumer needs, analyze price sensitivity, and the general behavioral patterns that customers follow when choosing products or services.
Location analytics can drive retailers to success
Aug-4-21 | Retail companies are already implementing Big Data and geolocation analytics tools to understand consumer mobility patterns, measure foot traffic in each store, understand the performance at their points of sale and estimate competitors’ turnover.
Big Data to Understand Consumers
Jul-21-21 | Consumers today have access to information anytime, anywhere, including what, where and when to buy, how much to pay, among other things. This makes it increasingly important to use consumer-focused data analytics to predict how they will behave when interacting with brands.
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