Skyhook
Metered Venues Dataset
Geo-location
Delivery Frequency/Timezone
Daily via S3/EST
History
Since 2017
Coverage
190 US retail equities (over 100k unique storefronts)
Skyhook has developed a proprietary set of geometries to map each location to deliver the most accurate and timely geo-locational retail footfall. Skyhook analyzes billions of location samples from mobile devices monthly.
Skyhook’s patented VenueLock technology uncovers locations and infrastructure based on WIFI signal. Metered Venues tables provide store-level operational status, WiFi infrastructure details and WiFi signal-measured and geometry-measured place-of-business data.
Data field descriptions
Venues | Venue map dataset |
| Current exchange ticker |
| Venue ID. Individual store identifier |
| Venue set ID. Maps secondary-brands by ticker |
| Venue set name. Shared name of vsid |
| Venue city |
| Venue state |
| Venue Nielsen DMA code |
| Nielsen DMA name |
| Primary taxonomic category of venue/business |
| First date venue/business detected in Skyhook db |
| Most recent date venue/business detected in Skyhook db |
| Detection qualifier. P = primary, S = secondary |
| Count of detected MAC addresses or business at location |
| Count of unique SSID names for businesses at location |
| Footfall dataset |
| Local timestamp. Value is calculated for all locations globally to provide unified local state-of-operations view |
| Venue ID |
| Count of unique devices detected at Venue ID for declared hour. Counts are aggregated into following hour value. |
Download full data dictionary
Benzinga’s data samples are intended to provide a data sample large enough for testing data quality and application for the financial markets. These files demonstrate a sample of the formats and content that can be delivered.
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