Retail Data | Retail Store Data | Global Shopping Centre Tenant Lists | Categorised and Brand-tagged product image in hero

Retail Data | Retail Store Data | Global Shopping Centre Tenant Lists | Categorised and Brand-tagged

Reomnify
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Sign In To Preview Data
Data Quality
95%
Accuracy
Avail. Format
.csv
File
Coverage
140
Countries

Data Dictionary

Product Attributes
Attribute Type Example Mapping
String Westefield Stratford Location Name
String cccwoih37f93f Location ID
String 51.54401, -0.00527 Latitude-Longitude
String ********** ** Address
String E20 1EJ Postal Code
String London City Name
String UK Country Name
String Nike Stratford Location Name
String Nike Brand Name
String hc578feiufuiweh Brand ID
String Retailer POI Category
String Clothing retailer POI Sub-category

Description

Reomnify tracks, monthly, the names and categories of the tenants of all major shopping centres in any market (eg 900+ shopping centres covered in Australia). Used by Shopping Centre owners and advisors to drive leasing, location and investment decisions.
For any given market, we identify the major and regional shopping centres and, every month, update our dataset of the tenants in those centres, and tag the appropriate categories (eg Clothing Retailer, Restaurant, Bank etc). Major firms like Stockland REIT and GapMaps leverage this data to inform: - Better leasing decisions, such as identifying brands that are expanding/reducing their presence. - Tenant mix analysis - Shopping centre valuations - New development location strategy - Centre competitor analysis We have data available off-the-shelf for a number of major markets, and can create new market datasets as quickly as 3-4 weeks. Why work with us? - Clean, comprehensive and credible datasets - 61% cost savings compared to traditional data sourcing and processing methods - 89% time savings compared to traditional data sourcing and processing methods - Customizable datasets to your needs

Country Coverage

Asia (51)
Afghanistan
Armenia
Azerbaijan
Bahrain
Bangladesh
Bhutan
Brunei Darussalam
Cambodia
China
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
Europe (51)
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Germany
Gibraltar
Greece
Guernsey
Holy See
Hungary
Iceland
Ireland
Isle of Man
Italy
Jersey
Latvia
Liechtenstein
Lithuania
Luxembourg
Macedonia (the former Yugoslav Republic of)
Malta
Moldova (Republic of)
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovakia
Slovenia
Spain
Svalbard and Jan Mayen
Sweden
Switzerland
Ukraine
United Kingdom
Åland Islands
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 (25)
American Samoa
Australia
Cook Islands
Fiji
French Polynesia
Guam
Kiribati
Marshall Islands
Micronesia (Federated States of)
Nauru
New Caledonia
New Zealand
Niue
Norfolk Island
Northern Mariana Islands
Palau
Papua New Guinea
Pitcairn
Samoa
Solomon Islands
Tokelau
Tonga
Tuvalu
Vanuatu
Wallis and Futuna

Pricing

License Starts at
One-off purchase
$20,000 / purchase
Monthly License
$4,000 / month
Yearly License Not available
Usage-based Not available

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Quality

Self-reported by the provider
95%
Accuracy

Delivery

Frequency
monthly
quarterly
on-demand
Format
.csv

Use Cases

Location Analytics
Competitor Analysis
Retail Analytics
Expansion Strategy Development
Location Planning

Categories

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Frequently asked questions

What is Retail Data Retail Store Data Global Shopping Centre Tenant Lists Categorised and Brand-tagged?

Reomnify tracks, monthly, the names and categories of the tenants of all major shopping centres in any market (eg 900+ shopping centres covered in Australia). Used by Shopping Centre owners and advisors to drive leasing, location and investment decisions.

What is Retail Data Retail Store Data Global Shopping Centre Tenant Lists Categorised and Brand-tagged used for?

This product has 5 key use cases. Reomnify recommends using the data for Location Analytics, Competitor Analysis, Retail Analytics, Expansion Strategy Development, and Location Planning. Global businesses and organizations buy Store Location Data from Reomnify to fuel their analytics and enrichment.

Who can use Retail Data Retail Store Data Global Shopping Centre Tenant Lists Categorised and Brand-tagged?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Store Location Data. Get in touch with Reomnify to see what their data can do for your business and find out which integrations they provide.

Which countries does Retail Data Retail Store Data Global Shopping Centre Tenant Lists Categorised and Brand-tagged cover?

This product includes data covering 140 countries like USA, China, Japan, Germany, and India. Reomnify is headquartered in Singapore.

How much does Retail Data Retail Store Data Global Shopping Centre Tenant Lists Categorised and Brand-tagged cost?

Pricing for Retail Data Retail Store Data Global Shopping Centre Tenant Lists Categorised and Brand-tagged starts at 4,000 per month. Connect with Reomnify to get a quote and arrange custom pricing models based on your data requirements.

How can I get Retail Data Retail Store Data Global Shopping Centre Tenant Lists Categorised and Brand-tagged?

Depending on your data requirements and subscription budget, Reomnify can deliver this product in .csv format.

What is the data quality of Retail Data Retail Store Data Global Shopping Centre Tenant Lists Categorised and Brand-tagged?

Reomnify has reported that this product has the following quality and accuracy assurances: 95% Accuracy. You can compare and assess the data quality of Reomnify using Datarade’s data marketplace. Reomnify appears on selected Datarade top lists ranking the best data providers, including Who’s New on Datarade? .

What are similar products to Retail Data Retail Store Data Global Shopping Centre Tenant Lists Categorised and Brand-tagged?

This product has 3 related products. These alternatives include Global Independent & Multi-National Retail Location Data, Global Store Location Data Business Location Data Places Data: Categorized Branded Retail Locations, and Point-of-Interest (POI) Data Shopping & Retail Store Locations in US and Canada Retail Store Data Comprehensive Data Coverage. You can compare the best Store Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Starts at
$4,000 / month
License Starts at
One-off purchase
$20,000 / purchase
Monthly License
$4,000 / month
Yearly License Not available
Usage-based Not available