Reomnify | Location Data | Branded Retail Locations | Categorised | Updated Monthly (Global)
# | Brand |
ro_place_id |
Location Name |
top_category |
sub_category |
lat |
long |
street_address |
city_clean |
postal_code_clean |
iso_country_code |
open_hours |
timestamp |
created_at |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx |
2 | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx |
3 | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx |
4 | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx |
5 | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx |
6 | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx |
7 | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
8 | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx |
9 | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx |
10 | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx |
... | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
Brand
|
String | Uniqlo | |
ro_place_id
|
String | ro:f93805d2-ad25-47ef-99e8-f4477315f2c1 | |
Location Name
|
String | Uniqlo Manchester | |
top_category
|
String | Retail Shopping | |
sub_category
|
String | Clothing Retailers | |
lat
|
Float | 53.48241936 | |
long
|
Float | -2.240129684 | |
street_address
|
String | 57 Market St | |
city_clean
|
String | Manchester | |
postal_code_clean
|
String | M1 1WN | |
iso_country_code
|
String | UK | |
open_hours
|
String | Friday 10 am–8 pm, Saturday 10 am–8 pm, Sunday 11 am–5 pm... | |
timestamp
|
Integer | 42023 | |
created_at
|
DateTime | 2023-04-21T21:10:44+00:00 |
Attribute | Type | Example | Mapping |
---|---|---|---|
String | Nike | Brand Name | |
String | Nike Soho | Location Name | |
String | 40.7232, -73.9990 | Latitude-Longitude | |
String | Address | ||
String | 10012 | Postal Code | |
Brand ID
|
|||
String | xxeniwuc73c3 | Location ID | |
String | New York | City Name | |
String | USA | Country Name | |
String | Retailer | POI Category | |
String | Clothing Retailer | POI Sub-category |
Description
Geography
Pricing
License | Starts at |
---|---|
One-off purchase |
$20,000 / purchase |
Monthly License | Not available |
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 Reomnify Location Data Branded Retail Locations Categorised Updated Monthly (Global)?
Reomnify tracks, monthly, the locations and categories of all major retail brands in any market (eg 1000+ brands covered in Australia). Used by retailers, landlords, advisors and PropTechs to drive location, competition and investment decisions.
What is Reomnify Location Data Branded Retail Locations Categorised Updated Monthly (Global) used for?
This product has 5 key use cases. Reomnify recommends using the data for Location Analytics, Competitor Analysis, Retail Site Selection, 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 Reomnify Location Data Branded Retail Locations Categorised Updated Monthly (Global)?
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 Reomnify Location Data Branded Retail Locations Categorised Updated Monthly (Global) cover?
This product includes data covering 249 countries like USA, China, Japan, Germany, and India. Reomnify is headquartered in Singapore.
How much does Reomnify Location Data Branded Retail Locations Categorised Updated Monthly (Global) cost?
Pricing for Reomnify Location Data Branded Retail Locations Categorised Updated Monthly (Global) starts at 20,000 per purchase. Connect with Reomnify to get a quote and arrange custom pricing models based on your data requirements.
How can I get Reomnify Location Data Branded Retail Locations Categorised Updated Monthly (Global)?
Depending on your data requirements and subscription budget, Reomnify can deliver this product in .csv format.
What is the data quality of Reomnify Location Data Branded Retail Locations Categorised Updated Monthly (Global)?
Reomnify has reported that this product has the following quality and accuracy assurances: 95% Coverage. 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 Reomnify Location Data Branded Retail Locations Categorised Updated Monthly (Global)?
This Tabular Data has 3 related products. These alternatives include Grepsr Comprehensive Dataset of Walgreens US Stores Across the United States, Unacast Retail Store Data - Global Retail Store Data - Current & Historical, and Reomnify Shopping Centre Tenant Lists Categorised and Brand-tagged Monthly Updates (Global). 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.