Consumer Transaction Data | UK & FR | 600K+ daily active users | Energy - Utilities | Raw, Aggregated & Ticker Level
# | 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 |
# | 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 |
Data Dictionary
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 |
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 |
Attribute | Type | Example | Mapping |
---|---|---|---|
Age Bucket
|
38-39 | ||
Salary Band
|
£24k - £29k | ||
String | PR3 1 | Postal Code | |
Derived Gender
|
M |
Description
Country Coverage
History
Volume
2 million | Users |
Pricing
Suitable Company Sizes
Delivery
Use Cases
Categories
Related Searches
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Frequently asked questions
What is Consumer Transaction Data UK & FR 600K+ daily active users Energy - Utilities 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 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 Energy - Utilities 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 Energy - Utilities 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 Energy - Utilities 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 Energy - Utilities 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 Energy - Utilities Raw, Aggregated & Ticker Level cost?
Pricing information for Consumer Transaction Data UK & FR 600K+ daily active users Energy - Utilities 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 Energy - Utilities 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 Energy - Utilities 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 Energy - Utilities Raw, Aggregated & Ticker Level?
This product has 3 related products. These alternatives include Consumer Transaction Data UK & FR 600K+ daily active users Energy - Integrated Oil & Gas 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.