Each dataset is designed to be simple to understand, easy to join, and immediately useful for data and analytics teams.
How people move through the physical world—visits and patterns around stores, venues, and neighborhoods.
Clean, consistent details about stores, restaurants, venues, points of interest, and their surroundings.
Privacy‑safe consumer graph covering demographics, income bands, lifestyle and interest indicators.
Local events that move demand: concerts, sports, conferences, school calendars, public holidays, and more.
Context on parcels and neighborhoods: land use, property types, and housing stress indicators.
Search and commerce signals: which brands, products, and categories are gaining attention across markets.
Retail sales indicators by market and category to show where spend is rising or softening.
Business density and composition by area: categories, formats, and competitive mix around your locations.
Local economic pulse of income, employment, and other fundamentals that shape background demand.
Thousands of ready‑made consumer segments by market: demographics, interests, behaviors, and intent signals.
Privacy‑first identity graph linking various types of identities for cross‑device reach and measurement.
Universal geo crosswalk of boundaries, ZIPs, parcels, and building footprints mapped to grid and ID systems.
Delivered in clean tables with geoIDs and clear documentation, so you can connect to your stores, branches, depots, and trade areas quickly.
Available through the major data clouds and easy to use in SQL, notebooks, BI tools, and ML pipelines.
Plain‑language columns your data, ops, and finance teams can all understand. No black boxes.
Aggregated where required, with a privacy‑first approach and transparent sourcing and refresh cadences.
Ready to see what changes when your models understand the real world?
Get a product tour to walk through your use cases, or explore our datasets to see exactly what’s available for your locations and markets.
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