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PG | Sales Transaction Data | $742M montly volume, 9 years depth | ...
PG | Sales Transaction Data | $742M montly volume, 9 years depth | Sales Tran...
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PG | Sales Transaction Data | $742M montly volume, 9 years depth | Sales Transaction Data perfect for Sales Analysis product image in hero

PG | Sales Transaction Data | $742M montly volume, 9 years depth | Sales Transaction Data perfect for Sales Analysis

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Data Samples
transactions day extra short 1.csv
#
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
Sign In To Preview Data
transactions day extra short 1.csv
Volume
742M
monthly volume
Avail. Formats
.csv and .xls
File
Coverage
2
Countries
History
9
years

Data Dictionary

[Sample] transactions day extra short 1.csv
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
Product Attributes
Attribute Type Example Mapping
country
 Text US Country Name
user_id
 Decimal 10054 UID

Description

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.
Our Sales Transaction Data spans 9 years and includes 105 million transactions from 128k users, offering unmatched depth and accuracy. With detailed transaction details and demographic insights, businesses can uncover consumer behavior patterns, forecast spending trends, and conduct precise identity verification. How is our Sales Transaction Data collected? Users securely link their bank accounts to our platform, enabling us to aggregate all their Ecommerce Data through integrations with Finicity and Plaid. Key Features of Sales Transaction Data: - Transaction Information: Includes Online Purchase Data transaction date, amount, merchant details, product types, and whether the transaction is recurring. - User-Specific Data: Covers user location (country, city, state, zip code) and spending behavior, reflected in Consumer Transaction Data and Bank Transaction Data. - Demographic Information: Attributes such as gender, birth year, marital status, employment status, and credit score, providing valuable insights through Ecommerce Data and Bank Transaction Data. Primary Applications of Sales Transaction Data: - Consumer Behavior Analysis: Leverage Consumer Transaction Data to track consumer spending behavior, seasonal trends, and product preferences, helping businesses adjust marketing and inventory strategies. - Purchase Intelligence: Use Sales Transaction Data to understand customer spending habits, especially for card-based and digital transactions, and refine product and service offerings. - Spending Analytics: Analyze Ecommerce Data to identify spending patterns on products, allowing brands to target promotions and optimize pricing strategies. - Financial Product Forecasting: Utilize Bank Transaction Data to predict demand for financial products, track banking trends, and understand consumer preferences for different financial services. - Targeted Marketing: Combine insights from Ecommerce Data and Online Purchase Data to develop personalized campaigns based on consumer spending habits. - Customer Segmentation: Integrate demographic information with Consumer Transaction Data to create enhanced segmentation strategies, allowing businesses to group customers by spending behavior, location, and financial habits. - Expense Monitoring & Budgeting Tools: Help consumers track spending with personalized tools by analyzing Online Purchase Data, offering savings and budgeting suggestions. - Financial Product Offering Optimization: Use Sales Transaction Data to tailor financial product offerings based on consumer preferences and transaction behavior. - Fraud Detection & Identity Verification: Analyze Bank Transaction Data and Consumer Transaction Data to verify identities and detect potential fraud through patterns of unusual spending behavior.

Country Coverage

North America (2)
Canada
United States of America

History

9 years of historical data

Volume

128,000 users
7.9 million merhcants
742 million monthly volume
105 million transactions

Pricing

Free sample available
PG has not published pricing information for this product yet. You can request detailed pricing information below.
Request detailed pricing

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Delivery

Methods
S3 Bucket
Frequency
daily
Format
.csv
.xls

Use Cases

Purchase Intelligence
Spending Analytics
purchase behavior analytics
Ecommerce Analysis
Sales Analysis

Categories

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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 Bright Data eCommerce Sales Intelligence: Weekly Updates on Historical & Real-Time Sales Metrics for Amazon, Target, Wayfair, and Overstock. You can compare the best Ecommerce Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Pricing available upon request

PG

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