SafeGraph

We're going to CES! From January 7-8, SafeGraph's CEO Jason Richman will be in Las Vegas to explore the latest in tech, retail, and advertising. If you plan to be there and want to learn how SafeGraph's places data is shaping the future of these industries, let us know.

Here's what's new in our December 2024 release: More than a million new places in specific countries and categories 📈 Improved Geometry for US brands in select categories 🎯 104 new brands across 79 countries 🎉 View the entire release notes for this month here: https://lnkd.in/eyDCRd_5

For today’s #30DayMapChallenge (the final map), I took a slightly different approach to analyzing food deserts. First, instead of looking at "all grocery stores," I classified SafeGraph Places data into three groups and assigned weights to indicate the likelihood of the place offering food for at-home consumption: 1.) Grocery stores, supermarkets, or large convenience stores. Weight = 3 2.) Discount/dollar stores with some array of food products, specialty food marts (like meat markets), etc. Weight = 2 3.) Gas stations and small convenience stores offering at least snacks or small packaged foods. Weight = 1 *Note: Restaurants, cafes, bars, etc. are excluded from food desert analyses. Our goal is to infer access to food for at-home consumption only. I then summed the weighted scores by county and divided by the county population (as reported by the US Census) to arrive at estimated food access per county normalized by population. A food desert analysis by administrative boundary overlooks the fact that populations may live on the border of a county where it's only a short drive to food in a neighboring county, but it still highlights large swaths of low vs. high access and raises the question of government programs/policy at the county level. Check out the results of this approach in Virginia, and happy mapping! https://lnkd.in/gjMjpbRm

For today’s #30DayMapChallenge with the theme "Conflict," explore our interactive "Starbucks vs. Dunkin' Predominance" map built by Nathan Kobinsky! ☕ Visualize county-level brand dominance across the US, based on brand counts from SafeGraph Places. Dive into the data—zoom, click, and pan your way through it here: https://lnkd.in/gXv_BvFi

We're thrilled to be ranked #5 in Datarade's Top 100 Best Data Providers! 🏆 A huge thank you to our team, partners, and customers for helping us achieve this recognition. Here's to continuing to deliver top-tier places data! https://lnkd.in/dR9s4VQY

🌐 AI is driving a massive surge in data center investments. As demand for powerful infrastructure grows, data centers have become essential for supporting AI’s heavy workloads. Our latest blog dives into key investment areas, with examples like Nvidia’s AI-optimized chips and Microsoft’s data center expansions, plus insights using SafeGraph's places data. 👇

We're looking forward to connecting with PropTech and Real Estate leaders at the CREtech conference next week! Let us know if we'll see you there 🏢

Chicago is getting ready to sparkle! The Magnificent Mile Lights Festival arrives on November 23rd, driving $79.4 million in spending 🎆 But how can businesses turn this event-based spending into real revenue? Discover how to combine PredictHQ's predictive demand intelligence and SafeGraph's point of interest data via Placekey to: ✅ Accurately predict foot traffic, sales, and staffing needs ✅ Allocate resources efficiently and avoid bottlenecks ✅ Gain a competitive edge with actionable insights Read the article to learn how to illuminate your business with predictive demand intelligence combined with POI data: https://lnkd.in/eCWC-BUc

Here's what's new in our November 2024 release: Revamped Category Model improves naics_code for millions of non-branded POIs 💥 Updated stock_exchange and stock_symbol for hundreds of publicly traded brands 📈 💸 Increased enclosed detection for indoor mall tenants 🏬 🛍 View the entire release notes for this month here: https://lnkd.in/e7prPQFi

#30daymapchallenge we have SafeGraph polygons in Miami Beach, FL created with Fused.