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

ClearScore
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Data Samples
Raw Data Sample ONLY.csv
#
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
Sign In To Preview Data
Raw Data Sample ONLY.csv
Volume
1.4M
Users
Avail. Format
.csv
File
Coverage
1
Country
History
5
years

Data Dictionary

[Sample] Raw Data Sample ONLY.csv
Attribute Type Example Mapping
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

Description

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

Country Coverage

Europe (1)
United Kingdom

History

5 years of historical data

Volume

1.4 million Users

Pricing

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

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Delivery

Methods
S3 Bucket
SFTP
Frequency
daily
weekly
monthly
quarterly
yearly
Format
.csv

Use Cases

Hedge Funds Competitor Analysis
Alternative Investment
Competitive Intelligence
Sales Insights

Categories

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Frequently asked questions

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

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.

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 product 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 product has 3 related products. These alternatives include ClearScore Dataset UK Consumer Transaction Data 1.4m users., Envestnet Yodlee’s De-Identified Shopper Data Row/Aggregate Level USA Consumer Data covering 3600+ corporations 90M+ Accounts, and Consumer Edge Home & Garden Transaction Data US Retail Sales Tickerized Data 100M Credit & Debit Cards, 12K Merchants, 800 Companies, 600 Tickers. 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.

Pricing available upon request

ClearScore

Large UK Consumer Transaction Dataset
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100% Response rate