![]() ![]() Analyzing average consumer spend and affluence metrics in a given area, businesses can optimize their price points from location to location. Retailers rely on location data to identify where to build brick-and-mortar stores, taking local demand, footfall, and competition into consideration. Location data enables companies to shape effective strategies throughout the sales cycle. Here’s just a few examples of how location data is underpinning decision-making in commerce, urban planning, and government: Location Data for commerce: from price-pointing to geo-marketing These data points enable users to monitor mobility trends and map POIs (points of interest). Location datasets also cover the flow of transport and goods through the supply chain, across seas, airspaces and territories. And by ‘movement’, we don’t just mean how the individual gets from A to B. International corporations, emerging startups, as well as governments and NGOs - all are investing in location data to shape their strategies around movement. Understanding the physical world and how people are moving around it provides the core analytics for a plethora of industries and organizations. This is largely because it’s so versatile - it has an endless number of use cases and market applications. 80% of external data collected in today’s data ecosystem has a location component. Location data is one of the most important external data categories available. But the chef knows how important the ingredient is,” - Auren Hoffmann, CEO, Safegraph, leading geospatial data provider. ![]() The end consumer of the croissant may not even know that there’s butter in the pastry. It’s like selling high-quality butter to pastry chefs.
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