Maintaining a precise record of open and close data helps to maintain the integrity of a POI database and unlocks unique trends based on a changing economic landscape.
Open/close attributes in Core:
We double-checked our close data against Chase's company reported POI count. SafeGraph data showed a 0.94 correlation coefficient.
Combine with SafeGraph Patterns foot traffic data to understand how many consumers are visiting newly opened locations.
See who your customers are, where they come from, and what other brands they visit.
Places data to help data scientists ensure a location will drive real business results.
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.
Develop models and forecasts with real-world information to power due diligence and portfolio management.
`opened_on` and `closed_on` dates are determined from metadata at the source level. If a new POI from an existing source repeatedly appears in our build pipeline, it is flagged as `opened_on` during the month in which it first appears. Similarly, if a POI from an existing source repeatedly disappears in our build pipeline, it is flagged as `closed_on` during the month in which it first disappears. These flags are added to the Places product permitting final QA checks and overall data hygiene.
View our docs page "Determining when POI Open and Close" for more info.
You can view fill rates for each of our columns in Core on our docs page titled Places Summary Statistics.
Every month we update the data and deliver new files to our customers.