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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
User Drawn Polygon | e9ffffe2865bba2642284fd17c9cc9691fd4a78f | 20.614625 | -100.489143 | 1718234009 | MEX | Queretaro | 887.517286 | 2 | 2024-06-12 | 18:13:29 | Wed | ||||||||
User Drawn Polygon | 17304cf6e9798889de55e26a325eb5e0df2cd71e | 25.718666 | -100.286065 | 1714594795 | MEX | 1904600011661 | San Nicolas de los Garza | 914.959800 | 1 | 2024-05-01 | 15:19:55 | Wed | |||||||
User Drawn Polygon | a7f2c780ffd28cdeb416bc6222021330fefe6b3b | 20.204069 | -87.459008 | 1717197612 | MEX | 2300900010350 | Tulum | 77.130039 | 1 | 2024-05-31 | 18:20:12 | Fri | |||||||
User Drawn Polygon | 821dc2528e4d77a24c1fce0d745ba11d3a288ab6 | 19.479585 | -99.263776 | 1713484648 | MEX | 1505700011370 | Naucalpan de Juarez | 818.510620 | 1 | 2024-04-18 | 18:57:28 | Thu | |||||||
User Drawn Polygon | 1f227a580151e9eff0638836e87749ad33d160d0 | 22.140770 | -100.905467 | 1718129027 | MEX | 2402800013675 | San Luis Potosi | 911.778364 | 2 | 2024-06-11 | 13:03:47 | Tue | |||||||
User Drawn Polygon | 3b3d5612fb2fbab62645b743cefabab8da7a0d1f | 21.109826 | -86.852162 | 1719931351 | MEX | 2300500013943 | Benito Juarez | 5.680832 | 1 | 2024-07-02 | 09:42:31 | Tue | |||||||
User Drawn Polygon | 3e691d44164f91070862ef39296f3d541de66052 | 19.528001 | -99.227066 | 1716838557 | MEX | 1510400010533 | Tlalnepantla de Baz | 815.574136 | 1 | 2024-05-27 | 14:35:57 | Mon | |||||||
User Drawn Polygon | 18a90581e8e0bf7359d820f9848a8d197ab1fd25 | 19.510402 | -99.028394 | 1718556723 | MEX | 1503300013197 | Ecatepec de Morelos | 803.025880 | 1 | 2024-06-16 | 11:52:03 | Sun | |||||||
User Drawn Polygon | 6f7399245f435ae2033d8a31c9e3b205cd4eb804 | 21.176553 | -86.814841 | 1714951913 | MEX | 2300500010794 | Benito Juarez | 5.650793 | 1 | 2024-05-05 | 18:31:53 | Sun | |||||||
User Drawn Polygon | 12f680624ab6a016a82551a6063d337ebf7aca79 | 18.614508 | -90.743148 | 1720392374 | MEX | 0400900010466 | Escarcega | 311.103232 | 1 | 2024-07-07 | 17:46:14 | Sun |
Polygon ID | Hashed Device ID | Lat of Visit | Lon of Visit | Unix Timestamp of Visit | Date | Time of Day | Day of Week | Time Zone |
---|---|---|---|---|---|---|---|---|
User Drawn Polygon | 122b02871a9193c3c8db8cb2e238a5fe5ef41f6f | 21.109060 | -86.763550 | 1714437314 | 2024-04-29 | 19:35:14 | Mon | America/Cancun |
User Drawn Polygon | 122b02871a9193c3c8db8cb2e238a5fe5ef41f6f | 21.109000 | -86.763540 | 1714437315 | 2024-04-29 | 19:35:15 | Mon | America/Cancun |
User Drawn Polygon | 122b02871a9193c3c8db8cb2e238a5fe5ef41f6f | 21.109090 | -86.763560 | 1714437323 | 2024-04-29 | 19:35:23 | Mon | America/Cancun |
User Drawn Polygon | 122b02871a9193c3c8db8cb2e238a5fe5ef41f6f | 21.109010 | -86.763500 | 1714437324 | 2024-04-29 | 19:35:24 | Mon | America/Cancun |
User Drawn Polygon | 122b02871a9193c3c8db8cb2e238a5fe5ef41f6f | 21.109040 | -86.763560 | 1714437327 | 2024-04-29 | 19:35:27 | Mon | America/Cancun |
User Drawn Polygon | 122b02871a9193c3c8db8cb2e238a5fe5ef41f6f | 21.109020 | -86.763560 | 1714437328 | 2024-04-29 | 19:35:28 | Mon | America/Cancun |
User Drawn Polygon | ea693de5d4981109ec9bf81c537692c4d73608cf | 21.110560 | -86.764290 | 1714498838 | 2024-04-30 | 12:40:38 | Tue | America/Cancun |
User Drawn Polygon | ea693de5d4981109ec9bf81c537692c4d73608cf | 21.110630 | -86.763670 | 1714500419 | 2024-04-30 | 13:06:59 | Tue | America/Cancun |
User Drawn Polygon | ea693de5d4981109ec9bf81c537692c4d73608cf | 21.110510 | -86.764240 | 1714498835 | 2024-04-30 | 12:40:35 | Tue | America/Cancun |
User Drawn Polygon | ea693de5d4981109ec9bf81c537692c4d73608cf | 21.110630 | -86.763600 | 1714500413 | 2024-04-30 | 13:06:53 | Tue | America/Cancun |
Description
GapMaps GIS Data by Azira uses location data on mobile phones sourced by Azira which is collected from smartphone apps when the users have given their permission to track their location. It can shed light on consumer visitation patterns (“where from” and “where to”), frequency of visits, profiles of consumers and much more. Businesses can utilise GIS data to answer key questions including: - What is the demographic profile of customers visiting my locations? - What is my primary catchment? And where within that catchment do most of my customers travel from to reach my locations? - What points of interest drive customers to my locations (ie. work, shopping, recreation, hotel or education facilities that are in the area) ? - How far do customers travel to visit my locations? - Where are the potential gaps in my store network for new developments? - What is the sales impact on an existing store if a new store is opened nearby? - Is my marketing strategy targeted to the right audience? - Where are my competitor's customers coming from? Mobile Location data provides a range of benefits that make it a valuable GIS Data source for location intelligence services including: - Real-time - Low-cost at high scale - Accurate - Flexible - Non-proprietary - Empirical Azira have created robust screening methods to evaluate the quality of Mobile location data collected from multiple sources to ensure that their data lake contains only the highest-quality mobile location data. This includes partnering with trusted location SDK providers that get proper end user consent to track their location when they download an application, can detect device movement/visits and use GPS to determine location co-ordinates. Data received from partners is put through Azira's data quality algorithm discarding data points that receive a low quality score. Use cases in Europe will be considered on a case to case basis.
Country Coverage
(154 countries)Data Categories
- Location Data
- Mobile Location Data
- GIS Data
- Mobility Data
- Advertising Data
Pricing
One-off purchase |
Available |
Monthly License |
Not available |
Yearly License |
Available |
Usage-based |
Available |
Volumes
- countries
- 200
- million MAUs globally
- 641
- billion GPS pings
- 505
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