Welcome to the Location Data Blog!

As marketing strategies continue to evolve, mobile location data has emerged as a crucial resource for generating valuable insights that drive ROI. With its unparalleled ability to deliver targeted messages to the right audience, at the right place, and at the right time, human mobility data has become a game-changer for the advertising industry. We have also seen amazing results in using location data to measure the ROI of marketing campaigns. In this article, we elaborate on how location data can be applied to high-impact use cases in advertising, marketing, and related technology.

Last-mile, food delivery, e-commerce, and postal services companies constantly strive to improve their services and operational efficiency to remain competitive. In this highly saturated space, the quality of location data powering delivery apps and platforms can be detrimental to the efficiency of operations. In this post, we will discuss how location data (mobile location and POI data) enables businesses to locate customers accurately, optimize mapping and routing systems, and minimize the waste of time and resources.

Businesses across a host of industries (such as retail and FMCG) strive to improve supply chain efficiency to cut costs, meet customer demand, and increase profits. This article explores how geospatial data (mobile location and Point-of-Interest data) is a valuable tool for enabling these objectives and can be leveraged to support profitable decision-making in supply chain and delivery logistics. 

Mobile location data is a valuable resource for retailers, as it provides insights into the movement patterns of consumers in the physical world. By analyzing this data, retailers can gain a deeper understanding of human mobility and use it to improve their marketing campaigns, gain a competitive edge, and identify and address operational inefficiencies. In this article, we explore several ways in which retailers can use location data to enhance strategic decision-making, reduce costs, and boost profitability. 

Big data is a powerful tool for tackling climate change – humanity’s greatest challenge in the 21st century. Geospatial data is a form of Big Data that is drastically improving mitigation/adaptation strategies for climate change and increasing the likelihood that we collectively accomplish the Sustainable Development Goals. By giving businesses and governments a firm understanding of evolving mobility patterns and spatial relationships, geospatial intelligence can decrease resource consumption, lower pollution and carbon emissions, enhance our resilience to climate-induced natural disasters, and more.  

Researchers, businesses, and government agencies leverage mobile location and Point-of-Interest (POI) data to advance sustainability. Let's look at some of these use cases.