PG | Sales Transaction Data | $742M montly volume, 9 years depth | Sales Transaction Data perfect for Sales Analysis
# | user_id |
postedDate |
original_date |
amount |
normalizedPayeeName |
reccuring_status |
currencyType |
description |
type |
categoryName |
original_category |
married_status |
kidsCount |
zipCode |
country |
state |
city |
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 |
---|---|---|---|
user_id
|
Integer | 638 | |
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
|
|||
zipCode
|
|||
country
|
String | US | |
state
|
String | OK | |
city
|
|||
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
Suitable Company Sizes
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is PG Sales Transaction Data $742M montly volume, 9 years depth Sales Transaction Data perfect for Sales Analysis?
Our Sales Transaction Data includes 128,000 users, 105 million transactions, and a monthly transaction volume of $742 million. It offers detailed insights into transaction amounts, merchant information, and categories, making it perfect for Purchase Intelligence and Spending Analytics.
What is PG Sales Transaction Data $742M montly volume, 9 years depth Sales Transaction Data perfect for Sales Analysis used for?
This product has 5 key use cases. PG recommends using the data for Purchase Intelligence, Spending Analytics, purchase behavior analytics, Ecommerce Analysis, and Sales Analysis. Global businesses and organizations buy Ecommerce Data from PG to fuel their analytics and enrichment.
Who can use PG Sales Transaction Data $742M montly volume, 9 years depth Sales Transaction Data perfect for Sales Analysis?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Ecommerce 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 Sales Transaction Data $742M montly volume, 9 years depth Sales Transaction Data perfect for Sales Analysis go?
This product has 9 years of historical coverage. It can be delivered on a daily basis.
Which countries does PG Sales Transaction Data $742M montly volume, 9 years depth Sales Transaction Data perfect for Sales 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 Sales Transaction Data $742M montly volume, 9 years depth Sales Transaction Data perfect for Sales Analysis cost?
Pricing information for PG Sales Transaction Data $742M montly volume, 9 years depth Sales Transaction Data perfect for Sales 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 Sales Transaction Data $742M montly volume, 9 years depth Sales Transaction Data perfect for Sales Analysis?
Businesses can buy Ecommerce 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 Sales Transaction Data $742M montly volume, 9 years depth Sales Transaction Data perfect for Sales Analysis?
You can compare and assess the data quality of PG using Datarade’s data marketplace.
What are similar products to PG Sales Transaction Data $742M montly volume, 9 years depth Sales Transaction Data perfect for Sales Analysis?
This product has 3 related products. These alternatives include PG Sales Data 105M Transactions, $742M montly volume Sales Data perfect for Spending Analytics, Consumer Edge Home & Garden Transaction Data US Retail Sales Tickerized Data 100M Credit & Debit Cards, 12K Merchants, 800 Companies, 600 Tickers, and Granular SKU-Level Transaction Data Global Ecommerce Transactional Data for Emerging Markets. You can compare the best Ecommerce Data providers and products via Datarade’s data marketplace and get the right data for your use case.