Unbanx Real-Time UK Consumer Transaction Data (de-identified, pay as you go, Stock ticker)
# | Amount |
User DOB |
Booking date |
Area name |
Currency |
Shop Name |
User Gender |
Category |
Transaction type |
Ticker |
---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx |
2 | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx |
3 | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx |
4 | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx |
5 | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx |
6 | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx |
7 | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx |
8 | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx |
9 | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx |
10 | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx |
... | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
Amount
|
Float | 9.4 | |
User DOB
|
Integer | 1981 | |
Booking date
|
DateTime | 2023-07-26T00:00:00+00:00 | |
Area name
|
String | null | |
Currency
|
String | GBP | |
Shop Name
|
String | "Thameslink, Southern and Great Northern franchise" | |
User Gender
|
String | fem | |
Category
|
String | [{"S":"Transportation"},{"S":"Transportation expenses"}] | |
Transaction type
|
String | PAYMENT | |
Ticker
|
Attribute | Type | Example | Mapping |
---|---|---|---|
Integer | £10 | Product Price | |
User DOB
|
Date | 9/10/1998 | |
Booking date
|
Date | 21/10/23 | |
String | Greggs | City Name | |
Integer | £ | Currency Symbol | |
String | Starbucks | Product Name | |
String | Contact Gender | ||
String | [{"S":"Food and drinks"},{"S":"Groceries"}] | Product Category | |
Transaction type
|
String | Payment | |
String | AAPL | Stock Ticker |
Description
Country Coverage
History
Volume
10,000 | Users |
2 | million transactions |
Pricing
License | Starts at |
---|---|
One-off purchase | Not available |
Monthly License | Not available |
Yearly License |
€7,500€7,125 / year |
Usage-based | Not available |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Unbanx Real-Time UK Consumer Transaction Data (de-identified, pay as you go, Stock ticker)?
UK consumer banking transaction data for over 10,000+ users. 2 years account level (Unified bank accounts and debit/credit cards) history. Clean tagged consumer transaction data. Suitable for all investment use cases and includes ticker - Fundamental, Quant, Private Equity, Venture Capital.
What is Unbanx Real-Time UK Consumer Transaction Data (de-identified, pay as you go, Stock ticker) used for?
This product has 5 key use cases. Unbanx recommends using the data for Lead Generation, Consumer Trend Analysis, Ecommerce Intelligence, Company Analysis, and Digital Advertising. Global businesses and organizations buy Credit Card Data from Unbanx to fuel their analytics and enrichment.
Who can use Unbanx Real-Time UK Consumer Transaction Data (de-identified, pay as you go, Stock ticker)?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Credit Card Data. Get in touch with Unbanx to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Unbanx Real-Time UK Consumer Transaction Data (de-identified, pay as you go, Stock ticker) go?
This product has 2 years of historical coverage. It can be delivered on a minutely, hourly, and daily basis.
Which countries does Unbanx Real-Time UK Consumer Transaction Data (de-identified, pay as you go, Stock ticker) cover?
This product includes data covering 2 countries like United Kingdom and Ireland. Unbanx is headquartered in Ireland.
How much does Unbanx Real-Time UK Consumer Transaction Data (de-identified, pay as you go, Stock ticker) cost?
Pricing for Unbanx Real-Time UK Consumer Transaction Data (de-identified, pay as you go, Stock ticker) starts at EUR7,500 per year. Unbanx offers a 5% discount when you buy data from them through Datarade. Connect with Unbanx to get a quote and arrange custom pricing models based on your data requirements.
How can I get Unbanx Real-Time UK Consumer Transaction Data (de-identified, pay as you go, Stock ticker)?
Businesses can buy Credit Card Data from Unbanx and get the data via S3 Bucket, REST API, and Streaming API. Depending on your data requirements and subscription budget, Unbanx can deliver this product in .json and .csv format.
What is the data quality of Unbanx Real-Time UK Consumer Transaction Data (de-identified, pay as you go, Stock ticker)?
Unbanx has reported that this product has the following quality and accuracy assurances: 2% years. You can compare and assess the data quality of Unbanx using Datarade’s data marketplace. Unbanx appears on selected Datarade top lists ranking the best data providers, including Best Credit & Debit Card Transaction Data Providers: Q1 2023.
What are similar products to Unbanx Real-Time UK Consumer Transaction Data (de-identified, pay as you go, Stock ticker)?
This product has 3 related products. These alternatives include Consumer Transaction Data UK & FR 600K+ daily active users Consumer - Services Raw, Aggregated & Ticker Level, PG Bank Transaction Data US& Canada, $742M montly volume, 105M Transaction Spending Data perfect for Consumer Trend Analysis, and Amazon Data, Product Data, Product Reviews, Best Sellers & Deals + More E-Commerce Data Real-Time API. You can compare the best Credit Card Data providers and products via Datarade’s data marketplace and get the right data for your use case.