GapMaps Foot Traffic Data by Azira | Global Foot Traffic Data | Current and Historical | Privacy Compliant

#	Polygon ID	Hashed Device 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 Device 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

#	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

Volume

641

million MAUs globally

Avail. Format

.csv

File

Coverage

154

Countries

History

years

[Sample] part-00009-0290449f-02da-4072-a4da-6f92b2c060a7.c001.csv

Attribute	Type	Example	Mapping
Polygon ID	String	MEX
Hashed Device ID	String	####*#############################	MAID
Lat of Visit	Float	19.417872	Latitude
Long of Visit	Float	-99.140156	Longitude
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

[Sample] 4264784_La_Isla_Shopping_Mall_pin_report.csv

Attribute	Type	Example	Mapping
Polygon ID	String	User Drawn Polygon
Hashed Device ID	String	########################	MAID
Lat of Visit	Float	21.10906	Latitude
Lon of Visit	Float	-86.76355	Longitude
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

[Sample] 4264784_La_Isla_Shopping_Mall_expanded_cel_cdl_report_cdl.csv

Attribute	Type	Example
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

Product Attributes

Attribute	Type	Example	Mapping
Polygon ID	String		Area ID
Hashed Device ID	String		MAID
Latitude of Visit	Float	40.786342970476895	Latitude
Longitude of Visit	Float	-119.2065156609571	Longitude
Unix Timestamp of visit	Integer
Date	String
Time of Day	String
Day of Week	String
Time Zone	String

GapMaps Foot Traffic 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.

GapMaps Foot Traffic Data 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 foot traffic 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? Foot Traffic data provides a range of benefits that make it a valuable addition to 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 Foot Traffic 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.

Africa (53)

Algeria

Angola

Benin

Botswana

Burkina Faso

Burundi

Cabo Verde

Cameroon

Central African Republic

Chad

Comoros

Congo

Côte d'Ivoire

Djibouti

Egypt

Eritrea

Ethiopia

Gabon

Gambia

Ghana

Guinea

Guinea-Bissau

Kenya

Lesotho

Liberia

Libya

Madagascar

Malawi

Mali

Mauritania

Mauritius

Mozambique

Namibia

Niger

Nigeria

Rwanda

Réunion

Saint Helena, Ascension and Tristan da Cunha

Sao Tome and Principe

Senegal

Seychelles

Sierra Leone

Somalia

South Africa

South Sudan

Sudan

Swaziland

Tanzania, United Republic of

Togo

Tunisia

Uganda

Zambia

Zimbabwe

Asia (50)

Afghanistan

Armenia

Azerbaijan

Bahrain

Bangladesh

Bhutan

Brunei Darussalam

Cambodia

Cyprus

Georgia

Hong Kong

India

Indonesia

Iran (Islamic Republic of)

Iraq

Israel

Japan

Jordan

Kazakhstan

Korea (Democratic People's Republic of)

Korea (Republic of)

Kuwait

Kyrgyzstan

Lao People's Democratic Republic

Lebanon

Macao

Malaysia

Maldives

Mongolia

Myanmar

Nepal

Oman

Pakistan

Palestine, State of

Philippines

Qatar

Saudi Arabia

Singapore

Sri Lanka

Syrian Arab Republic

Taiwan

Tajikistan

Thailand

Timor-Leste

Turkey

Turkmenistan

United Arab Emirates

Uzbekistan

Vietnam

Yemen

North America (13)

Belize

Bermuda

Canada

Costa Rica

El Salvador

Greenland

Guatemala

Honduras

Mexico

Nicaragua

Panama

Saint Pierre and Miquelon

United States of America

Oceania (24)

American Samoa

Australia

Cook Islands

Fiji

French Polynesia

Guam

Kiribati

Marshall Islands

Micronesia (Federated States of)

Nauru

New Caledonia

New Zealand

Norfolk Island

Northern Mariana Islands

Palau

Papua New Guinea

Pitcairn

Samoa

Solomon Islands

Tokelau

Tonga

Tuvalu

Vanuatu

Wallis and Futuna

South America (14)

Argentina

Bolivia (Plurinational State of)

Brazil

Chile

Colombia

Ecuador

Falkland Islands (Malvinas)

French Guiana

Guyana

Paraguay

Peru

Suriname

Uruguay

Venezuela (Bolivarian Republic of)

5 years of historical data

200	countries
641	million MAUs globally
505	billion GPS pings

Free sample available

License	Starts at
One-off purchase	Available
Monthly License	Not available
Yearly License	Available
Usage-based	Available

Request detailed pricing

Methods

Format

Predictive Analytics

Competitor Analysis Retail Site Selection Urban Planning Transportation Planning

Location Data Foot Traffic Data Mobile Location Data Mobility Data Advertising Data

641 million MAUs globally

154 countries covered

5 years of historical data

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What is GapMaps Foot Traffic Data by Azira Global Foot Traffic Data Current and Historical Privacy Compliant?

What is GapMaps Foot Traffic Data by Azira Global Foot Traffic Data Current and Historical Privacy Compliant 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 GapMaps Foot Traffic Data by Azira Global Foot Traffic Data Current and Historical Privacy Compliant?

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 GapMaps Foot Traffic Data by Azira Global Foot Traffic Data Current and Historical Privacy Compliant go?

This product has 5 years of historical coverage.

Which countries does GapMaps Foot Traffic Data by Azira Global Foot Traffic Data Current and Historical Privacy Compliant cover?

This product includes data covering 154 countries like USA, Japan, India, Brazil, and Canada. GapMaps is headquartered in Australia.

How much does GapMaps Foot Traffic Data by Azira Global Foot Traffic Data Current and Historical Privacy Compliant cost?

Pricing information for GapMaps Foot Traffic Data by Azira Global Foot Traffic Data Current and Historical Privacy Compliant 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 GapMaps Foot Traffic Data by Azira Global Foot Traffic Data Current and Historical Privacy Compliant?

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 GapMaps Foot Traffic Data by Azira Global Foot Traffic Data Current and Historical Privacy Compliant?

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 GapMaps Foot Traffic Data by Azira Global Foot Traffic Data Current and Historical Privacy Compliant?

This product has 3 related products. These alternatives include GapMaps Mobility Data by Azira Global Mobility Data Current and Historical Privacy Compliant, Irys Mobility Data Insights Global Real-Time & Historical [Foot Traffic Data], and Veraset Location Data GLOBAL HISTORICAL (2018 - Present) Mobility Data Foot Traffic Data Reliable, Compliant, Precise Location Data. You can compare the best Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Pricing available upon request

License	Starts at
One-off purchase	Available
Monthly License	Not available
Yearly License	Available
Usage-based	Available

Verified Provider

9h Avg. response time

100% Response rate

GapMaps Foot Traffic Data by Azira | Global Foot Traffic Data | Current and Historical | Privacy Compliant

Data Dictionary

Description

Country Coverage

History

Volume

Pricing

Suitable Company Sizes

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

GapMaps
Make better location decisions globally

Trusted by

GapMaps Foot Traffic Data by Azira | Global Foot Traffic Data | Current and Historical | Privacy Compliant

Data Dictionary

Description

Country Coverage

History

Volume

Pricing

Suitable Company Sizes

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

GapMaps Make better location decisions globally

Trusted by

GapMaps
Make better location decisions globally