PG | Bank Transaction Data | US& Canada, $742M montly volume, 105M Transaction | Spending Data perfect for Consumer Trend Analysis
# | postedDate |
original_date |
amount |
normalizedPayeeName |
reccuring_status |
currencyType |
description |
type |
categoryName |
original_category |
married_status |
kidsCount |
employment_status |
annualIncome |
credit_score |
gender |
birth_year |
|||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx |
2 | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx |
3 | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx |
4 | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx |
5 | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx |
6 | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx |
7 | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx |
8 | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx |
9 | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx |
10 | Xxxxxxxx | xxxxxxxxx | 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 | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
Integer | 638 | UID | |
postedDate
|
String | 01.01.2024 8:00 | |
original_date
|
String | 01.01.2024 8:00 | |
amount
|
String | 1,03 | |
normalizedPayeeName
|
String | Earned | |
reccuring_status
|
Integer | 0 | |
currencyType
|
String | USD | |
description
|
|||
type
|
|||
categoryName
|
String | Income | |
original_category
|
String | Interest Income | |
married_status
|
String | Single | |
kidsCount
|
|||
String | ZIP Code | ||
String | US | Country Name | |
String | OK | State Abbreviation | |
String | Berlin | City Name | |
employment_status
|
|||
annualIncome
|
|||
credit_score
|
|||
gender
|
|||
birth_year
|
Attribute | Type | Example | Mapping |
---|---|---|---|
Text | US | Country Name | |
Decimal | 10054 | UID |
Description
Country Coverage
History
Volume
128,000 | users |
7.9 million | merhcants |
742 million | monthly volume |
105 million | transactions |
Pricing
License | Starts at |
---|---|
One-off purchase | Available |
Monthly License | Available |
Yearly License | Available |
Usage-based | Not available |
Suitable Company Sizes
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is PG Bank Transaction Data US& Canada, $742M montly volume, 105M Transaction Spending Data perfect for Consumer Trend Analysis?
Our Consumer Transaction Data includes 128k users, 105M transactions, and $742M monthly volume. We offer detailed insights including transaction amounts, merchants, and categories, as well as user demographics. Perfect for deep behavioral analysis and precise targeting.
What is PG Bank Transaction Data US& Canada, $742M montly volume, 105M Transaction Spending Data perfect for Consumer Trend Analysis used for?
This product has 5 key use cases. PG recommends using the data for Purchase Intelligence, Spending Analytics, purchase behavior analytics, Behavioral Analytics, and Bank Data Enrichment. Global businesses and organizations buy Credit Card Data from PG to fuel their analytics and enrichment.
Who can use PG Bank Transaction Data US& Canada, $742M montly volume, 105M Transaction Spending Data perfect for Consumer Trend Analysis?
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 PG to see what their data can do for your business and find out which integrations they provide.
How far back does the data in PG Bank Transaction Data US& Canada, $742M montly volume, 105M Transaction Spending Data perfect for Consumer Trend Analysis go?
This product has 9 years of historical coverage. It can be delivered on a daily basis.
Which countries does PG Bank Transaction Data US& Canada, $742M montly volume, 105M Transaction Spending Data perfect for Consumer Trend Analysis cover?
This product includes data covering 2 countries like USA and Canada. PG is headquartered in United States of America.
How much does PG Bank Transaction Data US& Canada, $742M montly volume, 105M Transaction Spending Data perfect for Consumer Trend Analysis cost?
Pricing information for PG Bank Transaction Data US& Canada, $742M montly volume, 105M Transaction Spending Data perfect for Consumer Trend Analysis is available by getting in contact with PG. Connect with PG to get a quote and arrange custom pricing models based on your data requirements.
How can I get PG Bank Transaction Data US& Canada, $742M montly volume, 105M Transaction Spending Data perfect for Consumer Trend Analysis?
Businesses can buy Credit Card Data from PG and get the data via S3 Bucket. Depending on your data requirements and subscription budget, PG can deliver this product in .csv and .xls format.
What is the data quality of PG Bank Transaction Data US& Canada, $742M montly volume, 105M Transaction Spending Data perfect for Consumer Trend Analysis?
You can compare and assess the data quality of PG using Datarade’s data marketplace.
What are similar products to PG Bank Transaction Data US& Canada, $742M montly volume, 105M Transaction Spending Data perfect for Consumer Trend Analysis?
This product has 3 related products. These alternatives include PG Sales Transaction Data $742M montly volume, 9 years depth Sales Transaction Data perfect for Sales Analysis, ClearScore Dataset Individual Tickers UK Consumer Transaction Data 1.4m users., and Envestnet Yodlee’s De-Identified Bank Transaction Data Row/Aggregate Level USA Consumer Data covering 3600+ corporations 90M+ Accounts. 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.