Mobility Data | Premium Consumer Visitation Insights To Inform Operations and Marketing Decisions | Foot Traffic Data | Mobility Data
# | Polygon ID |
Lat of Visit |
Long of Visit |
Unix Timestamp of Visit |
Date |
Time of Day |
Day of Week |
Time Zone |
|
---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx |
2 | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx |
3 | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx |
4 | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx |
5 | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx |
6 | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx |
7 | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
8 | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx |
9 | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx |
10 | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx |
... | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx |
# | Polygon Id |
Hashed Ubermedia Id |
Common Daytime Lat |
Common Daytime Long |
First Visit Timestamp |
Common Daytime Country |
Common Daytime Census |
Common Daytime Micro |
Common Daytime Municipality |
Common Daytime Admin |
Common Daytime Province |
Common Daytime Postal1 |
Common Daytime Postal2 |
Common Daytime Custom1 |
Common Daytime Custom2 |
Common Daytime Distance Mi |
Visits |
First Visit Date |
First Visit Time |
First Visit Day of Week |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx |
2 | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx |
3 | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx |
4 | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx |
5 | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx |
6 | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx |
7 | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx |
8 | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx |
9 | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx |
10 | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx |
... | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx |
# | Polygon ID |
Lat of Visit |
Lon of Visit |
Unix Timestamp of Visit |
Date |
Time of Day |
Day of Week |
Time Zone |
|
---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx |
2 | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx |
3 | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx |
4 | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx |
5 | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx |
6 | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx |
7 | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
8 | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx |
9 | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx |
10 | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx |
... | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
Polygon ID
|
String | MEX | |
String | MAID | ||
Lat of Visit
|
Float | 19.417872 | |
Long of Visit
|
Float | -99.140156 | |
Unix Timestamp of Visit
|
Integer | 1719768675 | |
Date
|
DateTime | 2024-06-30T00:00:00+00:00 | |
Time of Day
|
String | 17:31:15 | |
Day of Week
|
String | Sunday | |
Time Zone
|
String | Mexico/General |
Attribute | Type | Example | Mapping |
---|---|---|---|
Polygon Id
|
String | User Drawn Polygon | |
Hashed Ubermedia Id
|
String | e9ffffe2865bba2642284fd17c9cc9691fd4a78f | |
Common Daytime Lat
|
Float | 20.614625 | |
Common Daytime Long
|
Float | -100.489143 | |
First Visit Timestamp
|
Integer | 1718234009 | |
Common Daytime Country
|
String | MEX | |
Common Daytime Census
|
|||
Common Daytime Micro
|
|||
Common Daytime Municipality
|
String | Queretaro | |
Common Daytime Admin
|
|||
Common Daytime Province
|
|||
Common Daytime Postal1
|
|||
Common Daytime Postal2
|
|||
Common Daytime Custom1
|
|||
Common Daytime Custom2
|
|||
Common Daytime Distance Mi
|
Float | 887.517286 | |
Visits
|
Integer | 2 | |
First Visit Date
|
DateTime | 2024-06-12T00:00:00+00:00 | |
First Visit Time
|
String | 18:13:29 | |
First Visit Day of Week
|
String | Wed |
Attribute | Type | Example | Mapping |
---|---|---|---|
Polygon ID
|
String | User Drawn Polygon | |
String | MAID | ||
Lat of Visit
|
Float | 21.10906 | |
Lon of Visit
|
Float | -86.76355 | |
Unix Timestamp of Visit
|
Integer | 1714437314 | |
Date
|
DateTime | 2024-04-29T00:00:00+00:00 | |
Time of Day
|
String | 19:35:14 | |
Day of Week
|
String | Mon | |
Time Zone
|
String | America/Cancun |
Description
Country Coverage
History
Volume
200 | countries |
641 | million MAUs globally |
505 | billion GPS pings |
Pricing
Suitable Company Sizes
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Mobility Data Premium Consumer Visitation Insights To Inform Operations and Marketing Decisions Foot Traffic Data Mobility Data?
GapMaps Mobility Data by Azira provides actionable insights on consumer travel patterns at a global scale empowering Marketing and Operational Leaders to confidently reach, understand, and market to highly targeted audiences and optimize their business results.
What is Mobility Data Premium Consumer Visitation Insights To Inform Operations and Marketing Decisions Foot Traffic Data Mobility Data used for?
This product has 5 key use cases. GapMaps recommends using the data for Predictive Analytics, Competitor Analysis, Retail Site Selection, Urban Planning, and Transportation Planning. Global businesses and organizations buy Location Data from GapMaps to fuel their analytics and enrichment.
Who can use Mobility Data Premium Consumer Visitation Insights To Inform Operations and Marketing Decisions Foot Traffic Data Mobility Data?
This product is best suited if you’re a Medium-sized Business or Enterprise looking for Location Data. Get in touch with GapMaps to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Mobility Data Premium Consumer Visitation Insights To Inform Operations and Marketing Decisions Foot Traffic Data Mobility Data go?
This product has 5 years of historical coverage.
Which countries does Mobility Data Premium Consumer Visitation Insights To Inform Operations and Marketing Decisions Foot Traffic Data Mobility Data cover?
This product includes data covering 154 countries like USA, Japan, India, Brazil, and Canada. GapMaps is headquartered in Australia.
How much does Mobility Data Premium Consumer Visitation Insights To Inform Operations and Marketing Decisions Foot Traffic Data Mobility Data cost?
Pricing information for Mobility Data Premium Consumer Visitation Insights To Inform Operations and Marketing Decisions Foot Traffic Data Mobility Data is available by getting in contact with GapMaps. Connect with GapMaps to get a quote and arrange custom pricing models based on your data requirements.
How can I get Mobility Data Premium Consumer Visitation Insights To Inform Operations and Marketing Decisions Foot Traffic Data Mobility Data?
Businesses can buy Location Data from GapMaps and get the data via S3 Bucket, SFTP, UI Export, and REST API. Depending on your data requirements and subscription budget, GapMaps can deliver this product in .csv format.
What is the data quality of Mobility Data Premium Consumer Visitation Insights To Inform Operations and Marketing Decisions Foot Traffic Data Mobility Data?
You can compare and assess the data quality of GapMaps using Datarade’s data marketplace. GapMaps has received 1 review from clients.
What are similar products to Mobility Data Premium Consumer Visitation Insights To Inform Operations and Marketing Decisions Foot Traffic Data Mobility Data?
This product has 3 related products. These alternatives include Foot Traffic Data Global Consumer Visitation Insights To Inform Marketing and Operational Decisions Mobile Location Data, Irys Mobility Data Insights Global Real-Time & Historical [Foot Traffic Data], and Real-Time Foot-Traffic Data Location Data Mobility Data Mobile Location Data Global Coverage 600+ Customers. You can compare the best Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.