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Consumer Transaction Data | UK & FR | 600K+ daily active users | Ai...
Consumer Transaction Data | UK & FR | 600K+ daily active users | Airlines - R...
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Consumer Transaction Data | UK & FR | 600K+ daily active users | Airlines - Regional / Budget | Raw, Aggregated & Ticker Level product image in hero

Consumer Transaction Data | UK & FR | 600K+ daily active users | Airlines - Regional / Budget | Raw, Aggregated & Ticker Level

ExactOne
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Data Samples
Agg Sample.csv Raw Sample.csv
#
Cohort Name
Merchant Business Line
Full Date
Merchant Footfall
Merchant Transaction Volume
Merchant Debit Amount
Merchant Normalised Spend
Merchant Transacting Accounts
Panel User Count
Panel Transacting Accounts
Panel Debit Amount
Panel Transacting Accounts Per User
Merchant Transacting Accounts Per User
Merchant Basket Size
Merchant User Penetration
Merchant Spend Per User
Merchant Visitor Frequency
Merchant Spend Per Panel User
Merchant Spend Per Panel Transacting Account
Wallet Share
1 xxxxxxxxxx Xxxxxxxxx xxxxxx xxxxxxxxxx Xxxxx Xxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxxxxxx xxxxxxxxx Xxxxxxx xxxxxx Xxxxx xxxxxxxxxx xxxxxx Xxxxxxxxxx xxxxxx
2 Xxxxx Xxxxxx xxxxx xxxxxxxx xxxxxxx Xxxxx Xxxxxxxx xxxxxxxxxx xxxxxx Xxxxxxxxx xxxxxx Xxxxxxxxx Xxxxxxxxx xxxxxxxxxx Xxxxxx Xxxxx xxxxxx xxxxxxx xxxxxxx Xxxxx
3 xxxxxx Xxxxxxxxxx xxxxxxxx xxxxxx Xxxxx Xxxxxxx xxxxxx Xxxxxxxx Xxxxxxx Xxxxx xxxxxx xxxxxxxxxx Xxxxx xxxxxxxxxx xxxxxxxxx Xxxxxxx xxxxxxxx xxxxxxxx Xxxxxxxxxx Xxxxxxxx
4 Xxxxxxxx xxxxxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxx xxxxx xxxxxxx xxxxxxxxx Xxxxxx Xxxxxxx Xxxxxxxxx xxxxxxxxx xxxxxxxxx Xxxxx xxxxxxxx Xxxxxxx xxxxxxxxx Xxxxxxx xxxxx Xxxxxxx
5 xxxxxxx Xxxxx xxxxxxxxxx Xxxxxxx Xxxxx xxxxxxxxxx Xxxxxx xxxxxx Xxxxxxxxx xxxxx Xxxxxxxxxx xxxxxx xxxxx xxxxxxxx Xxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxxxxxxx xxxxxxxx xxxxx
6 Xxxxxx xxxxxxxxxx xxxxxxxxx xxxxx xxxxx xxxxxxxx xxxxxx Xxxxxxxxxx xxxxxxxxxx Xxxxx xxxxxxx Xxxxxxxx Xxxxxxx xxxxx xxxxxxxx xxxxxxxxxx Xxxxxx xxxxxxxxx Xxxxx xxxxx
7 xxxxxxxxx xxxxxxx Xxxxxxxxx Xxxxxxx xxxxxxxxxx Xxxxx xxxxxxxxx xxxxxxx Xxxxxx xxxxxxxxx xxxxx Xxxxxxx xxxxxxxxx Xxxxxxxx xxxxxxxx Xxxxxxxx Xxxxxxxx xxxxxxxx xxxxxxxxx Xxxxxxx
8 Xxxxxxxxx xxxxxxxx xxxxx Xxxxxxxxxx xxxxxxxxxx xxxxxx Xxxxx Xxxxxxx Xxxxx Xxxxxx Xxxxx Xxxxxxxxx xxxxxx xxxxxxxx Xxxxxxxxx Xxxxxx Xxxxxxxxxx Xxxxxx Xxxxx Xxxxxxx
9 xxxxxxxxx Xxxxx xxxxx Xxxxxx xxxxxxxxx xxxxxxx xxxxxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxx Xxxxx Xxxxxxxxx xxxxxxxxxx xxxxxx xxxxxxxxx xxxxxxx Xxxxxxx Xxxxxxxxxx Xxxxxxxxxx Xxxxxxxx
10 Xxxxxxxxx xxxxx Xxxxxxx xxxxxxxxxx Xxxxxxxxx Xxxxxxxx xxxxxxxxxx xxxxxxx Xxxxxxxx xxxxx Xxxxxx xxxxxx xxxxxxxx xxxxxxx Xxxxx Xxxxxxxxx Xxxxx Xxxxxxx Xxxxxxxx xxxxxxxxx
... xxxxxxxx xxxxx Xxxxxxxxxx Xxxxxxx xxxxxxxxx xxxxxxx xxxxxxxxxx xxxxxx xxxxx Xxxxxxxxxx Xxxxxxxxx xxxxxxx Xxxxxx Xxxxx Xxxxxxxx xxxxxxxxx xxxxxxxx Xxxxxx xxxxxxxxxx xxxxxxxxx
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#
transaction_reference
user_reference
age_band
salary_band
postcode_area
lsoa_code
msoa_code
derived_gender
transaction_date
account_reference
provider_group_name
account_type
transaction_description
credit_debit_flag
transaction_amount
account_balance
purpose_tag
merchant_name
merchant_business_line
account_created_date
account_last_refreshed_date
insert_update_flag
bank_code
data_warehouse_created_date
data_warehouse_updated_date
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
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Agg Sample.csv Raw Sample.csv
Volume
2M
Users
Avail. Format
.csv
File
Coverage
2
Countries
History
6
years

Data Dictionary

[Sample] Agg Sample.csv
Attribute Type Example Mapping
Cohort Name
 String Two Year Cohort
Merchant Business Line
 String ASOS
Full Date
 String 07/06/2016
Merchant Footfall
 Integer 8
Merchant Transaction Volume
 Integer 8
Merchant Debit Amount
 Float 240.38
Merchant Normalised Spend
 Float 4745.903258
Merchant Transacting Accounts
 Integer 8
Panel User Count
 Integer 3715
Panel Transacting Accounts
 Integer 5065
Panel Debit Amount
 Float 552118.37
Panel Transacting Accounts Per User
 Float 1.363391655
Merchant Transacting Accounts Per User
 Integer 1
Merchant Basket Size
 Float 30.0475
Merchant User Penetration
 Float 0.002153432
Merchant Spend Per User
 Float 30.0475
Merchant Visitor Frequency
 Integer 1
Merchant Spend Per Panel User
 Float 0.064705249
Merchant Spend Per Panel Transacting Account
 Float 0.047459033
Wallet Share
 Float 0.000435378
[Sample] Raw Sample.csv
Attribute Type Example Mapping
transaction_reference
 String 3a6cefdb-1868-40a7-bb66-d61ddbe651168AA893B4A7346A7E00A95...
user_reference
 String e17c028b19caa787f5f7027a1dfe7df58f81eb0b10164ce23b0f6a636...
age_band
 String 25-29
salary_band
 String 30K to 40K
postcode_area
 String BS8 1
lsoa_code
 String E01014554
msoa_code
 String E02003037
derived_gender
 String M
transaction_date
 String 21/12/2022
account_reference
 String 3a6cefdb-1868-40a7-bb66-d61ddbe65116
provider_group_name
 String HSBC
account_type
 String Current
transaction_description
 String triplekirks aberdeen ab10
credit_debit_flag
 String Debit
transaction_amount
 Float 7.5
account_balance
 Float 53.58
purpose_tag
 String General Retail
merchant_name
 String No Merchant
merchant_business_line
 String Unknown Merchant
account_created_date
 String 10/12/2023
account_last_refreshed_date
 String 09/03/2024
insert_update_flag
 String I
bank_code
 String )))
data_warehouse_created_date
 String 10/12/2023
data_warehouse_updated_date
 String 01/01/1900
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

User Base: 2M total, 600K active daily open-banking users. Demographics: Age, income, gender, employment, home ownership. Coverage: 1,800+ merchants (400+ tickers) Efficiency: 90% of transactions in 2 days, 99% in 3. Delivery: Updated daily by 7 AM GMT via S3 or Snowflake.
ExactOne delivers unparalleled consumer transaction insights to help investors and corporate clients uncover market opportunities, analyze trends, and drive better decisions. Dataset Highlights - Source: Debit and credit card transactions from 600K+ active users and 2M accounts connected via Open Banking. Scale: Covers 250M+ annual transactions, mapped to 1,800+ merchants and 400+ tickers. Historical Depth: Over 6 years of transaction data. Flexibility: Analyse transactions by merchant/ticker, category/industry, or timeframe (daily, weekly, monthly, or quarterly). ExactOne data offers visibility into key consumer industries, including: Airlines - Regional / Budget Airlines - Cargo Airlines - Full Service Autos - OEMs Communication Services - Cable & Satellite Communication Services - Integrated Telecommunications Communication Services - Wireless Telecom Consumer - Services Consumer - Health & Fitness Consumer Staples - Household Supplies Energy - Utilities Energy - Integrated Oil & Gas Financial Services - Insurance Grocers - Traditional Hotels - C-corp Industrial - Misc Industrial - Tools And Hardware Internet - E-commerce Internet - B2B Services Internet - Ride Hailing & Delivery Leisure - Online Gambling Media - Digital Subscription Real Estate - Brokerage Restaurants - Quick Service Restaurants - Fast Casual Restaurants - Pubs Restaurants - Specialty Retail - Softlines Retail - Mass Merchants Retail - European Luxury Retail - Specialty Retail - Sports & Athletics Retail - Footwear Retail - Dept Stores Retail - Luxury Retail - Convenience Stores Retail - Hardlines Technology - Enterprise Software Technology - Electronics & Appliances Technology - Computer Hardware Utilities - Water Utilities Use Cases For Private Equity & Venture Capital Firms: - Deal Sourcing: Identify high-growth opportunities. - Due Diligence: Leverage transaction data to evaluate investment potential. - Portfolio Monitoring: Track performance post-investment with real-time data. For Consumer Insights & Strategy Teams: - Market Dynamics: Compare sales trends, average transaction size, and customer loyalty. - Competitive Analysis: Benchmark market share and identify emerging competitors. - E-commerce vs. Brick & Mortar Trends: Assess channel performance and strategic opportunities. - Demographic & Geographic Insights: Uncover growth drivers by demo and geo segments. For Investor Relations Teams: - Shareholder Insights: Monitor brand performance relative to competitors. - Real-Time Intelligence: Analyse sales and market dynamics for public and private companies. - M&A Opportunities: Evaluate market share and growth potential for strategic investments. Key Benefits of ExactOne - Understand Market Share: Benchmark against competitors and uncover emerging players. - Analyse Customer Loyalty: Evaluate repeat purchase behavior and retention rates. - Track Growth Trends: Identify key drivers of sales by geography, demographic, and channel. - Granular Insights: Drill into transaction-level data or aggregated summaries for in-depth analysis. With ExactOne, investors and corporate leaders gain actionable, real-time insights into consumer behaviour and market dynamics, enabling smarter decisions and sustained growth.

Country Coverage

Europe (2)
France
United Kingdom

History

6 years of historical data

Volume

2 million Users

Pricing

Free sample available
ExactOne 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 Consumer Transaction Data UK & FR 600K+ daily active users Airlines - Regional / Budget Raw, Aggregated & Ticker Level?

User Base: 2M total, 600K active daily open-banking users. Demographics: Age, income, gender, employment, home ownership. Coverage: 1,800+ merchants (400+ tickers) Efficiency: 90% of transactions in 2 days, 99% in 3. Delivery: Updated daily by 7 AM GMT via S3 or Snowflake.

What is Consumer Transaction Data UK & FR 600K+ daily active users Airlines - Regional / Budget Raw, Aggregated & Ticker Level used for?

This product has 5 key use cases. ExactOne 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 ExactOne to fuel their analytics and enrichment.

Who can use Consumer Transaction Data UK & FR 600K+ daily active users Airlines - Regional / Budget Raw, Aggregated & Ticker Level?

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

How far back does the data in Consumer Transaction Data UK & FR 600K+ daily active users Airlines - Regional / Budget Raw, Aggregated & Ticker Level go?

This product has 6 years of historical coverage. It can be delivered on a daily, weekly, monthly, quarterly, and yearly basis.

Which countries does Consumer Transaction Data UK & FR 600K+ daily active users Airlines - Regional / Budget Raw, Aggregated & Ticker Level cover?

This product includes data covering 2 countries like United Kingdom and France. ExactOne is headquartered in United Kingdom.

How much does Consumer Transaction Data UK & FR 600K+ daily active users Airlines - Regional / Budget Raw, Aggregated & Ticker Level cost?

Pricing information for Consumer Transaction Data UK & FR 600K+ daily active users Airlines - Regional / Budget Raw, Aggregated & Ticker Level is available by getting in contact with ExactOne. Connect with ExactOne to get a quote and arrange custom pricing models based on your data requirements.

How can I get Consumer Transaction Data UK & FR 600K+ daily active users Airlines - Regional / Budget Raw, Aggregated & Ticker Level?

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

What is the data quality of Consumer Transaction Data UK & FR 600K+ daily active users Airlines - Regional / Budget Raw, Aggregated & Ticker Level?

You can compare and assess the data quality of ExactOne using Datarade’s data marketplace. ExactOne 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 Consumer Transaction Data UK & FR 600K+ daily active users Airlines - Regional / Budget Raw, Aggregated & Ticker Level?

This product has 3 related products. These alternatives include Consumer Transaction Data UK & FR 600k+ daily active users Airlines - Cargo Raw, Aggregated & Ticker Level, Envestnet Yodlee’s De-Identified Shopper Data Row/Aggregate Level USA Consumer Data covering 3600+ corporations 90M+ Accounts, and Consumer Edge Vision Retention Data CPG, Grocery, Food Delivery Psychographic US Transaction 100M+ Cards, 12K+ Merchants, Retail & Ecommerce. 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

ExactOne

Consumer Transaction Data - UK & France
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