Reomnify Branded Retail Locations - Monthly, All Markets
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Verified Data Provider| # | 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 Products
Frequently asked questions
What is Reomnify Branded Retail Locations - Monthly, All Markets?
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 Branded Retail Locations - Monthly, All Markets 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 Branded Retail Locations - Monthly, All Markets?
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 Branded Retail Locations - Monthly, All Markets cover?
This product includes data covering 249 countries like USA, China, Japan, Germany, and India. Reomnify is headquartered in Singapore.
How much does Reomnify Branded Retail Locations - Monthly, All Markets cost?
Pricing for Reomnify Branded Retail Locations - Monthly, All Markets 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 Branded Retail Locations - Monthly, All Markets?
Depending on your data requirements and subscription budget, Reomnify can deliver this product in .csv format.
What is the data quality of Reomnify Branded Retail Locations - Monthly, All Markets?
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 Branded Retail Locations - Monthly, All Markets?
This Tabular Data has 3 related products. These alternatives include Reomnify Shopping Centre Tenant Lists - Monthly, All Markets, Grepsr Walgreens US Stores Across the United States Geospatial Data Insights, and Xtract.io - Point-of-Interest (POI) Data Retail Locations data Warehouse Retail Stores All Walmart and Sam’s Club locations in US and Canada. 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.
Reomnify
Location data simplified
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