Mobility

Aggregate mobility data groups anonymized location signals from many devices into origin-to-destination flows and visit volumes between hex cells, instead of tracking individual trips. It's built from 90B+ daily movement signals and reflects observed behavior, not survey panels or modeled estimates.

Coverage: USA
Updated: Monthly Refresh
Record Count: 1 year of history
Delivery: H3 [Hex9 is the most granular delivery layer]

H3 Hex8, Hex7, and Hex6 can be easily generated by aggregating the Hex9 cells.

Use Cases

• OOH planning & footfall-lift - Plan out-of-home placements around where movement actually concentrates, and measure footfall-lift after a campaign runs. Inbound trips, dwell time, and peak windows are observed per hex cell, so media teams can compare candidate sites on real visit volume rather than modeled reach estimates, then go back after a flight to see whether visits to the target cells actually moved.
• Trade-area & catchment analysis - Define the true catchment for a store, branch, or site using visitor-origin geometry rather than a fixed drive-time radius. Since the data separates weekday from weekend and time-of-day patterns, teams can see how a trade area shifts by daypart, which matters for staffing, delivery radius, and site comparisons across a network.
• Network & visitor-flow planning- Understand how people and demand move between hex cells, not just how many people are in any one cell. Origin-to-destination flow counts support route and network planning, capacity decisions around transit or logistics hubs, and tourism flow analysis across corridors, districts, or entire regions.
  

Schema