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 |
|
Ticker |
Current exchange ticker |
|
vid |
Venue ID. Individual store identifier |
|
vsid |
Venue set ID. Maps secondary-brands by ticker |
|
vsame |
Venue set name. Shared name of vsid |
|
city |
Venue city |
|
state |
Venue state |
|
dma_code |
Venue Nielsen DMA code |
|
dma_name |
Nielsen DMA name |
|
taxonomy |
Primary taxonomic category of venue/business |
|
sigdtct_first |
First date venue/business detected in Skyhook db |
|
sigdtct_last |
Most recent date venue/business detected in Skyhook db |
|
sigdct_last_src |
Detection qualifier. P = primary, S = secondary |
|
mac_count |
Count of detected MAC addresses or business at location |
|
ssid_count |
Count of unique SSID names for businesses at location |
|
metered_venues |
Footfall dataset |
|
local_ts |
Local timestamp. Value is calculated for all locations globally to provide unified local state-of-operations view |
|
vid |
Venue ID |
|
devices |
Count of unique devices detected at Venue ID for declared hour. Counts are aggregated into following hour value. |
Benzinga’s data samples are intended to provide a data sample large enough for testing data quality and application for the financial markets. These sample files demonstrate a sample of the formats and content that can be delivered
