Patterns Data

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Weekly Patterns

Foot Traffic Data Insights, Updated Weekly

Weekly Patterns data provides the same foot traffic data insights from Patterns, updated weekly.

Arm Your decision-making with precise visit data

Visitor and demographic aggregations drawn from anonymous mobile data, delivered weekly.

Weekly Patterns provides answers to questions like:

  • How often do people visit a location?
  • How long do they stay?
  • Where do they come from?
  • Where else do they go?

High Quality

Reliable outcomes without the bias

We rigorously test for bias by comparing our panel to the true proportions reported in the US Census.

Learn more about handling bias in foot traffic data >

Reliable outcomes without the bias

Precision

Fine tune your financial indicators

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.

See how the chief US economist at Goldman Sachs uses Patterns data >

Fine tune your financial indicators

Reliable

Attribution you can trust

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.

Learn more about our data curation process >

Attribution you can trust

Solve challenges to your business

Delivery

Bulk download
Configure an S3 bucket for monthly data deliveries
Free sample
Get started with $100 in free credits to buy data today
Places API
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FAQ

How is Weekly Patterns different from Places Patterns?

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.

How much does Weekly Patterns cost?

Like all of our data, the cost of Weekly Patterns depends on the amount of rows, columns, and frequency of delivery you request. You can buy data directly from the shop or contact our sales team to learn about enterprise pricing.

How does SafeGraph account for geographical bias in their data?

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.

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