Visitor and demographic aggregations drawn from anonymous mobile data, delivered weekly.
Weekly Patterns provides answers to questions like:
We rigorously test for bias by comparing our panel to the true proportions reported in the US Census.
Patterns data can be used to estimate foot traffic to locations and tell a story about the economic health of a set of an area.
Complex engineering to clean, cluster, and combine visit data allows us to precisely attribute a device ping to a specific POI or census block group.
Places data to help data scientists ensure a location will drive real business results.
See who your customers are, where they come from, and what other brands they visit.
Trade area analysis fueled by accurate data can forecast whether a business will succeed or fail in a given geographical area.
Accurate and precise points of interest (POI), building footprint, and foot traffic data reveal where people go, and how easy it is for them to get there.
Measure consumer activity at precise locations to optimize network performance and planning.
Places Patterns is updated and delivered on a monthly cadence to our customers. Weekly Patterns is the exact same dataset, but updated and delivered on a weekly cadence.
Small geographic bias exists in our panel based on our understanding of the home locations of the devices in the panel. SafeGraph tested for geographic bias by comparing its determination of the state-by-state numbers of home location of the devices in the panel to the true proportions reported by the 2016 US Census. Based on that analysis, SafeGraph panel density closely mirrors true population density. The overall average percentage point difference is < 1% with a maximum of +/-3% per state. For a deep dive on geographic bias in the panel, see Quantifying Sampling Bias in SafeGraph Patterns.