PG | Sales Data | 105M Transactions, $742M montly volume | Sales Data perfect for Spending Analytics
# | 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 Data 105M Transactions, $742M montly volume Sales Data perfect for Spending Analytics?
Our Sales Data covers 128,000 users, 105 million transactions, and a monthly volume of $742 million. It provides comprehensive insights into transaction amounts, merchant details, and categories, along with demographic information. Ideal for Spending Analytics and Sales Analysis.
What is PG Sales Data 105M Transactions, $742M montly volume Sales Data perfect for Spending Analytics 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 Data 105M Transactions, $742M montly volume Sales Data perfect for Spending Analytics?
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 Data 105M Transactions, $742M montly volume Sales Data perfect for Spending Analytics go?
This product has 9 years of historical coverage. It can be delivered on a daily basis.
Which countries does PG Sales Data 105M Transactions, $742M montly volume Sales Data perfect for Spending Analytics 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 Data 105M Transactions, $742M montly volume Sales Data perfect for Spending Analytics cost?
Pricing information for PG Sales Data 105M Transactions, $742M montly volume Sales Data perfect for Spending Analytics 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 Data 105M Transactions, $742M montly volume Sales Data perfect for Spending Analytics?
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 Data 105M Transactions, $742M montly volume Sales Data perfect for Spending Analytics?
You can compare and assess the data quality of PG using Datarade’s data marketplace.
What are similar products to PG Sales Data 105M Transactions, $742M montly volume Sales Data perfect for Spending Analytics?
This product has 3 related products. These alternatives include PG Ecommerce Purchases Data US & Canada, $742M montly volume, 128k users Ecommerce Purchases Data perfect for Spending Analytics, Consumer Edge Vision EUR Retail & Ecommerce Sales Data Austria, France, Germany, Italy, Spain, UK 6.7M Accounts, 5K Merchants, 600 Companies, and wetter.com data Weather-based demand forecast indices Ecommerce data Ecommerce sales data Advertising data. You can compare the best Ecommerce Data providers and products via Datarade’s data marketplace and get the right data for your use case.