Retail Data | Retail Store Data | Global Shopping Centre Tenant Lists | Categorised and Brand-tagged
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1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx |
2 | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx |
3 | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx |
4 | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx |
5 | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx |
6 | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx |
7 | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx |
8 | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx |
9 | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx |
10 | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx |
... | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx |
Data Dictionary
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
Country Coverage
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
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
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.