SafeGraph aims to be the source of truth about the places in the physical world. We embarked on that goal by first defining what exists with SafeGraph Places, the most accurate business listing and building footprint dataset in the US.
Today, we’re excited to release Places Patterns: the answers to how people interact with the places in the physical world.
Places Patterns extends SafeGraph Places to answer questions like:
These insights are pre-aggregated, anonymized, and included directly in the Places Patterns dataset. There’s no extra data processing required.
Visit and visitor counts are available to understand footfall traffic to a place. Places Patterns is updated monthly to analyze aggregated and anonymized foot traffic over time for brand financial forecasts, site selection, or competitive intelligence.
Places Patterns includes the top census block groups (CBG) for visitor daytime and nighttime locations to analyze aggregated visitor demographics. Join this data with other publicly available datasets to understand visitor income, education, employment status, and other characteristics. Esri customers can seamlessly integrate Tapestry Segmentation to analyze the socioeconomic characteristics of visitors.
Early Places Patterns customers are already analyzing the changing demographics of neighborhoods over time to predict the next best location to open for their target audiences.
What brands do visitors frequent in the same day or month? Are they visiting a competitor? Is there an opportunity to do co-marketing with another brand? What are other trends?
Sears filed for bankruptcy last week and analysts are already trying to predict which retailers are most likely to pick up Sears’ customers. Turning to Places Patterns for direction, we found that Sears shoppers nationwide are most likely to also shop at Walmart, Dollar Tree, and Dollar General which suggests that these retailers will see the largest lift in sales in the upcoming months.
Our core mission is to be the geospatial data utility to all and power innovation through open access to data. One of the most sought after datasets has consistently been the data behind when people typically visit places and how long they stay. Google has refused to provide access to their popular times data despite it being a top feature request as it is in their interest to hoard this data for their own applications.
Places Patterns unlocks access to this data by including time spent, popularity by day, and popularity by hour for all places in the dataset.
What questions are you looking to answer? Reach out to start working with a data sample of Places Patterns or check out our documentation to learn more.
You can also get data directly from the SafeGraph Shop.
