PG | Ecommerce Data | 128k users, 105M Transactions | Ecommerce Data ideal for Ecommerce 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
|
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 Ecommerce Data 128k users, 105M Transactions Ecommerce Data ideal for Ecommerce Analysis?
PG offers high-quality transaction-level data, encompassing 105 million transactions from 128k users over the past 9 years. This Ecommerce Data provides comprehensive insights into consumer behavior, spending trends, and demographic details.
What is PG Ecommerce Data 128k users, 105M Transactions Ecommerce Data ideal for Ecommerce 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 Ecommerce Data 128k users, 105M Transactions Ecommerce Data ideal for Ecommerce 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 Ecommerce Data 128k users, 105M Transactions Ecommerce Data ideal for Ecommerce Analysis go?
This product has 9 years of historical coverage. It can be delivered on a daily basis.
Which countries does PG Ecommerce Data 128k users, 105M Transactions Ecommerce Data ideal for Ecommerce 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 Ecommerce Data 128k users, 105M Transactions Ecommerce Data ideal for Ecommerce Analysis cost?
Pricing information for PG Ecommerce Data 128k users, 105M Transactions Ecommerce Data ideal for Ecommerce 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 Ecommerce Data 128k users, 105M Transactions Ecommerce Data ideal for Ecommerce 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 Ecommerce Data 128k users, 105M Transactions Ecommerce Data ideal for Ecommerce Analysis?
You can compare and assess the data quality of PG using Datarade’s data marketplace.
What are similar products to PG Ecommerce Data 128k users, 105M Transactions Ecommerce Data ideal for Ecommerce Analysis?
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, Accurate Append Verified US Ecommerce Leads Data 900M+ Consumer Emails, Landline & Mobile Phone Append Location/Demographics/Interests Data, and Ecommerce Market data -Amazon Data , Walmart product data, Ecommerce data Ecommerce data extraction 50% Cost Saving Free Sample. You can compare the best Ecommerce Data providers and products via Datarade’s data marketplace and get the right data for your use case.