PG | Consumer Spending Data | 128k users, 105M Transactions | Consumer Purchase Data ideal for Purchase Intelligence
# | postedDate |
original_date |
amount |
normalizedPayeeName |
reccuring_status |
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 | |
String | USD | Currency Code | |
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
|
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 Consumer Spending Data 128k users, 105M Transactions Consumer Purchase Data ideal for Purchase Intelligence?
PG delivers high-quality, transaction-level data covering 105 million transactions from 128k users over a span of 9 years. This Consumer Spending Data provides detailed insights into consumer behavior, spending patterns, and demographic attributes.
What is PG Consumer Spending Data 128k users, 105M Transactions Consumer Purchase Data ideal for Purchase Intelligence used for?
This product has 5 key use cases. PG recommends using the data for Purchase Intelligence, Consumer Trend Analysis, Demand Forecasting, Economic Analysis, and Credit Decision Strategy. Global businesses and organizations buy Consumer Purchase Data from PG to fuel their analytics and enrichment.
Who can use PG Consumer Spending Data 128k users, 105M Transactions Consumer Purchase Data ideal for Purchase Intelligence?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Consumer Purchase 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 Consumer Spending Data 128k users, 105M Transactions Consumer Purchase Data ideal for Purchase Intelligence go?
This product has 9 years of historical coverage. It can be delivered on a daily basis.
Which countries does PG Consumer Spending Data 128k users, 105M Transactions Consumer Purchase Data ideal for Purchase Intelligence cover?
This product includes data covering 2 countries like USA and Canada. PG is headquartered in United States of America.
How much does PG Consumer Spending Data 128k users, 105M Transactions Consumer Purchase Data ideal for Purchase Intelligence cost?
Pricing information for PG Consumer Spending Data 128k users, 105M Transactions Consumer Purchase Data ideal for Purchase Intelligence 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 Consumer Spending Data 128k users, 105M Transactions Consumer Purchase Data ideal for Purchase Intelligence?
Businesses can buy Consumer Purchase 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 Consumer Spending Data 128k users, 105M Transactions Consumer Purchase Data ideal for Purchase Intelligence?
You can compare and assess the data quality of PG using Datarade’s data marketplace.
What are similar products to PG Consumer Spending Data 128k users, 105M Transactions Consumer Purchase Data ideal for Purchase Intelligence?
This product has 3 related products. These alternatives include Consumer Edge Vision Demographic Spending Data B2C Audience Purchase Behavior US Transaction Data 100M+ Cards, 12K+ Merchants, Industry, Channel, Factori Consumer Purchase Data USA 200M+ profiles, 100+ Attributes Behavior Data, Interest Data, Email, Phone, Social Media, Gender, Linkedin, and McGRAW Debt and Consumer Spending Data┃Real Time & Aged Debt Leads┃273MM Records. You can compare the best Consumer Purchase Data providers and products via Datarade’s data marketplace and get the right data for your use case.