ClearScore Dataset | Individual Tickers UK Consumer Transaction Data | 1.4m users.

#	Transaction Reference	User Reference	User Registration Date	Age Band	Salary Band	Postcode Area	MSOA	Assumed gender	Transaction Date	Account Reference	Provider Group Name	Account Type	Transaction Description	Credit Debit	Amount	Auto Purpose Tag Name	Merchant Name	Merchant Business Line	Account Created Date	Account Last Refreshed	Data Warehouse Date Created	Data Warehouse Date Updated	Transaction Updated Flag	Bank Code	Transaction Currecy
1	xxxxxxxxxx	Xxxxxxxxx	xxxxxx	xxxxxxxxxx	Xxxxx	Xxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxxx	Xxxxx	xxxxxxxxxx	xxxxxx	Xxxxxxxxxx	xxxxxx	Xxxxx	Xxxxxx	xxxxx	xxxxxxxx	xxxxxxx
2	Xxxxx	Xxxxxxxx	xxxxxxxxxx	xxxxxx	Xxxxxxxxx	xxxxxx	Xxxxxxxxx	Xxxxxxxxx	xxxxxxxxxx	Xxxxxx	Xxxxx	xxxxxx	xxxxxxx	xxxxxxx	Xxxxx	xxxxxx	Xxxxxxxxxx	xxxxxxxx	xxxxxx	Xxxxx	Xxxxxxx	xxxxxx	Xxxxxxxx	Xxxxxxx	Xxxxx
3	xxxxxx	xxxxxxxxxx	Xxxxx	xxxxxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxxxxx	xxxxxxxx	Xxxxxxxxxx	Xxxxxxxx	Xxxxxxxx	xxxxxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	xxxxx	xxxxxxx	xxxxxxxxx	Xxxxxx	Xxxxxxx	Xxxxxxxxx	xxxxxxxxx	xxxxxxxxx	Xxxxx	xxxxxxxx
4	Xxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxx	Xxxxxxx	xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxx	xxxxxx	Xxxxxxxxx	xxxxx	Xxxxxxxxxx	xxxxxx	xxxxx	xxxxxxxx	Xxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxxx	xxxxxxxx	xxxxx
5	Xxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxx	xxxxx	xxxxxxxx	xxxxxx	Xxxxxxxxxx	xxxxxxxxxx	Xxxxx	xxxxxxx	Xxxxxxxx	Xxxxxxx	xxxxx	xxxxxxxx	xxxxxxxxxx	Xxxxxx	xxxxxxxxx	Xxxxx	xxxxx	xxxxxxxxx	xxxxxxx	Xxxxxxxxx	Xxxxxxx	xxxxxxxxxx
6	Xxxxx	xxxxxxxxx	xxxxxxx	Xxxxxx	xxxxxxxxx	xxxxx	Xxxxxxx	xxxxxxxxx	Xxxxxxxx	xxxxxxxx	Xxxxxxxx	Xxxxxxxx	xxxxxxxx	xxxxxxxxx	Xxxxxxx	Xxxxxxxxx	xxxxxxxx	xxxxx	Xxxxxxxxxx	xxxxxxxxxx	xxxxxx	Xxxxx	Xxxxxxx	Xxxxx	Xxxxxx
7	Xxxxx	Xxxxxxxxx	xxxxxx	xxxxxxxx	Xxxxxxxxx	Xxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxx	Xxxxxxx	xxxxxxxxx	Xxxxx	xxxxx	Xxxxxx	xxxxxxxxx	xxxxxxx	xxxxxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxx	Xxxxx	Xxxxxxxxx	xxxxxxxxxx	xxxxxx	xxxxxxxxx
8	xxxxxxx	Xxxxxxx	Xxxxxxxxxx	Xxxxxxxxxx	Xxxxxxxx	Xxxxxxxxx	xxxxx	Xxxxxxx	xxxxxxxxxx	Xxxxxxxxx	Xxxxxxxx	xxxxxxxxxx	xxxxxxx	Xxxxxxxx	xxxxx	Xxxxxx	xxxxxx	xxxxxxxx	xxxxxxx	Xxxxx	Xxxxxxxxx	Xxxxx	Xxxxxxx	Xxxxxxxx	xxxxxxxxx
9	xxxxxxxx	xxxxx	Xxxxxxxxxx	Xxxxxxx	xxxxxxxxx	xxxxxxx	xxxxxxxxxx	xxxxxx	xxxxx	Xxxxxxxxxx	Xxxxxxxxx	xxxxxxx	Xxxxxx	Xxxxx	Xxxxxxxx	xxxxxxxxx	xxxxxxxx	Xxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxx	Xxxxx	xxxxxxx	xxxxxxxxxx	Xxxxxx
10	Xxxxxxxxx	xxxxxxx	Xxxxxxxx	xxxxx	xxxxx	Xxxxxxxxxx	Xxxxxxx	Xxxxxxxx	Xxxxxxx	xxxxx	xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxxxxxx	xxxxxxx	Xxxxx	xxxxxxxxx	xxxxxxxx	Xxxxxxxx	xxxxxxxx	Xxxxxxx	Xxxxxx	Xxxxxxxxx	Xxxxxxxx	Xxxxxxxxxx
...	Xxxxxxx	Xxxxxx	Xxxxxxxxxx	xxxxxxxxxx	xxxxxxxxxx	Xxxxxxx	Xxxxx	Xxxxx	Xxxxx	Xxxxxxx	xxxxx	xxxxxxxxx	xxxxxxx	Xxxxxxx	xxxxxx	xxxxxxxxxx	xxxxxxxxxx	Xxxxxxx	xxxxxxxxx	Xxxxx	xxxxxxx	Xxxxxx	Xxxxx	xxxxxxxxxx	xxxxxxxxx

Volume

1.4M

Users

Avail. Format

.csv

File

Coverage

Country

History

years

[Sample] Raw Data Sample ONLY.csv

Attribute	Type	Example
Transaction Reference	Integer	891244380
User Reference	Integer	40401
User Registration Date	String	03/04/2014
Age Band	String	35-39
Salary Band	String	£24k-£29k
Postcode Area	String	PR3 1
MSOA	String	E01025549
Assumed gender	String	Female
Transaction Date	String	02/04/2022
Account Reference	Integer	1261305
Provider Group Name	String	Santander
Account Type	String	Savings
Transaction Description	String	credit from ao retail limited on 2022-03-31
Credit Debit	String	Credit
Amount	Integer	4
Auto Purpose Tag Name	String	Home
Merchant Name	String	AO World
Merchant Business Line	String	AO World
Account Created Date	String	24/04/2019
Account Last Refreshed	DateTime	2022-04-01T22:17:00+00:00
Data Warehouse Date Created	String	29/04/2022
Data Warehouse Date Updated	String	01/01/1900
Transaction Updated Flag	String	C
Bank Code
Transaction Currecy	String	GBP

Product Attributes

Attribute	Type	Example	Mapping
Age Bucket		38-39
Salary Band		£24k - £29k
Postcode Area	String	PR3 1	Postal Code
Derived Gender		M

Analyse aggregated or row-level spend, consumer loyalty, to granular demography and merchant brand level, for 330+ listed entities and 1.4k+ merchants in the UK . Acquire individual tickers or merchants of your interest.

This is our aggregated version of our Exact.One dataset. You can aggregate the transactions using different variables according to your needs: • Per merchant/ticker. • Per category/industry. • You can choose if you would like to see daily/weekly/monthly/quarterly aggregated data. What makes ClearScore's Exact.One dataset unique? • ClearScore provides consumer debit and credit card data at a transaction level. • The data is made available directly from open banking connections that users have with the ClearScore App. • A large active panel of 1.4m users ever connected and 1.8m accounts • Historic view of data spanning 5+ years. • Native categorisation methodology curated over the last 10 years. • Coverage of over 250 million transactions annually mapped to 330+ publicly listed companies. What is the panel size? • More than 1.4m users who have connected to share their data via Open Banking. 1.8m total accounts ever connected in the panel. How do I receive the data? • S3 bucket transfer (Preferred) • SFTP • Snowflake What’s the structure of the data? • Raw transactions (row-level data) or Aggregated data *Data dictionary available upon request. What is the quality of the panel? • The users who we have acquired have a re-auth rate of ~65%. • The coverage is 250 million transactions accounting for £6 billion in spend (Jan - Dec 2021 example) • Coverage of over 1400 merchants mapping to 330 tickers, 130 of which are UK publicly listed Exact.One is built on an industry-leading transaction categorisation service: • Our categorisation service is a rules based deterministic model which favours accuracy over coverage • We focus on accurately categorising spend at merchants, as well as spend pertaining to credit risk (e.g. income, gambling, benefits, financial institutions, cash withdrawals, and debt management services) • Clients can request improvements to the model, and these can easily be implemented by adding new rules or adapting existing rules Purpose tagging: We classify transactions utilising 286 purpose tags which are rolled up to higher level tags (e.g., childcare benefits > benefits > income). Merchant tagging: We tag 1.4k merchants in our model with updates applied each month. Version control: Strong version control allows us to improve our categorisation each month, whilst not breaking models. Unrivalled foundation: Engine trained on the richest data bank in the UK, with >1bn transactions from 60+ financial institutions

Europe (1)

United Kingdom

5 years of historical data

1.4 million

Users

Free sample available

ClearScore has not published pricing information for this product yet. You can request detailed pricing information below.

Request detailed pricing

Methods

Frequency

Format

Hedge Funds Competitor Analysis

Alternative Investment

Competitive Intelligence

Sales Insights

Credit Card Data Consumer Transaction Data Debit Card Data Retail Sales Data

1.4M users

2 countries covered

5 years of historical data

Analyse aggregated spend, consumer loyalty, to granular demography and merchant brand level, for 330+ listed entities and 1.4k+ merchants in the UK & EU. ...

138K panel size

95% panel stability

United Kingdom covered

Gener8's proprietary consumer transaction dataset covers 140+ merchants in retail & e-commerce with a stable 5-year history. The data is obtained with the pa...

3M rows daily

USA covered

14 years of historical data

Odyssey POS data provides a granular view into the CPG sales from our partner stores across 15 states in the US. We provide individual transaction data, incl...

3K + merchants

99% % high precision tagging, 600 tickers

USA covered

Envestnet®| Yodlee®'s Debit Card Panels (Aggregate/Row) consist of de-identified U.S. consumer credit/debit/ACH transaction level data, offering a wide view ...

What is ClearScore Dataset Individual Tickers UK Consumer Transaction Data 1.4m users.?

What is ClearScore Dataset Individual Tickers UK Consumer Transaction Data 1.4m users. used for?

This product has 5 key use cases. ClearScore recommends using the data for Hedge Funds, Competitor Analysis, Alternative Investment, Competitive Intelligence, and Sales Insights. Global businesses and organizations buy Credit Card Data from ClearScore to fuel their analytics and enrichment.

Who can use ClearScore Dataset Individual Tickers UK Consumer Transaction Data 1.4m users.?

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 ClearScore to see what their data can do for your business and find out which integrations they provide.

How far back does the data in ClearScore Dataset Individual Tickers UK Consumer Transaction Data 1.4m users. go?

This Tabular Data has 5 years of historical coverage. It can be delivered on a daily, weekly, monthly, quarterly, and yearly basis.

Which countries does ClearScore Dataset Individual Tickers UK Consumer Transaction Data 1.4m users. cover?

This product includes data covering 1 country like United Kingdom. ClearScore is headquartered in United Kingdom.

How much does ClearScore Dataset Individual Tickers UK Consumer Transaction Data 1.4m users. cost?

Pricing information for ClearScore Dataset Individual Tickers UK Consumer Transaction Data 1.4m users. is available by getting in contact with ClearScore. Connect with ClearScore to get a quote and arrange custom pricing models based on your data requirements.

How can I get ClearScore Dataset Individual Tickers UK Consumer Transaction Data 1.4m users.?

Businesses can buy Credit Card Data from ClearScore and get the data via S3 Bucket and SFTP. Depending on your data requirements and subscription budget, ClearScore can deliver this product in .csv format.

What is the data quality of ClearScore Dataset Individual Tickers UK Consumer Transaction Data 1.4m users.?

You can compare and assess the data quality of ClearScore using Datarade’s data marketplace. ClearScore 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 ClearScore Dataset Individual Tickers UK Consumer Transaction Data 1.4m users.?

This Tabular Data has 3 related products. These alternatives include ClearScore Dataset UK Aggregated Consumer Transaction Data 1.4m users., Gener8 Consumer Transaction Data 27M+ Transactions & 140+ Global and UK Retailers GDPR-Compliant, and DecaData Grocery Retail Transaction Data Point-of-Sale (POS). 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.

ClearScore Dataset | Individual Tickers UK Consumer Transaction Data | 1.4m users.

Data Dictionary

Description

Geography

History

Volume

Pricing

Suitable Company Sizes

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

ClearScore
Large UK Consumer Transaction Dataset

ClearScore Dataset | Individual Tickers UK Consumer Transaction Data | 1.4m users.

Data Dictionary

Description

Geography

History

Volume

Pricing

Suitable Company Sizes

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

ClearScore Large UK Consumer Transaction Dataset

ClearScore
Large UK Consumer Transaction Dataset