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PG | Sales Data | 105M Transactions, $742M montly volume | Sales Da...
PG | Sales Data | 105M Transactions, $742M montly volume | Sales Data perfect...
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PG | Sales Data | 105M Transactions, $742M montly volume | Sales Data perfect for Spending Analytics product image in hero

PG | Sales Data | 105M Transactions, $742M montly volume | Sales Data perfect for Spending Analytics

PG
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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 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 makes our data unique? Our Sales Data spans 9 years and includes 105 million transactions from 128k users, delivering unmatched depth and accuracy. With detailed transaction information and demographic insights, businesses can uncover consumer behavior patterns, predict spending trends, and carry out precise identity verification. How is our Sales Data collected? Users securely link their bank accounts to our platform, allowing us to aggregate all their Ecommerce Data through integrations with Finicity and Plaid. Key Features of Sales Data: - Transaction Information: Includes 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 Online Purchase Data and Ecommerce Purchases Data. - Demographic Information: Attributes such as gender, birth year, marital status, employment status, and credit score, providing valuable insights through Ecommerce Data. Primary Applications of Sales Data: - Ecommerce Analysis: Use Online Purchase Data to track consumer buying behavior, seasonal purchase trends, and product preferences, helping businesses refine marketing and inventory strategies. - Purchase Intelligence: Leverage Ecommerce Purchases Data to understand customer preferences for digital purchases and adjust e-commerce offerings accordingly. - Spending Analytics: Analyze Ecommerce Data to identify patterns in consumer spending on products, helping brands target promotions and optimize pricing strategies. - Ecommerce Product Forecasting: Utilize Ecommerce Product Data to predict demand for products, monitor category trends, and understand consumer preferences in various ecommerce segments. - Targeted Marketing: Combine insights from Online Purchase Data, Ecommerce Purchases Data, and Ecommerce Product Data to develop personalized campaigns that match consumer buying habits. - Customer Segmentation: Integrate demographic information with Online Purchase Data to enhance segmentation strategies, allowing businesses to group customers based on shopping behavior, location, and product preferences. - Expense Monitoring & Budgeting Tools: Help consumers track their spending with personalized tools and recommendations by analyzing their Ecommerce Data, offering suggestions on savings and budgeting. - Product Offering Optimization: Use Ecommerce Product Data to tailor product offerings to align with consumer preferences and purchasing behavior, creating targeted promotions. - Fraud Detection & Identity Verification: Analyze Ecommerce Purchases Data and Online Purchase Data for identity verification and to detect fraudulent activity through patterns in unusual purchases.

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 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 Analyze Weather Forecast Data and Sales Data to Identify Business Trends Weather-Based Demand Forecast Indices Ecommerce Sales Data Impact. 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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