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PG | Bank Transaction Data | US& Canada, $742M montly volume, 105M...
PG | Bank Transaction Data | US& Canada, $742M montly volume, 105M Transacti...
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PG | Bank Transaction Data | US& Canada, $742M montly volume, 105M Transaction | Spending Data perfect for Consumer Trend Analysis product image in hero

PG | Bank Transaction Data | US& Canada, $742M montly volume, 105M Transaction | Spending Data perfect for Consumer Trend Analysis

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 UID
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
 String ZIP Code
country
 String US Country Name
state
 String OK State Abbreviation
city
 String Berlin City Name
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 Consumer Transaction Data includes 128k users, 105M transactions, and $742M monthly volume. We offer detailed insights including transaction amounts, merchants, and categories, as well as user demographics. Perfect for deep behavioral analysis and precise targeting.
What sets our data apart? Our Bank Transaction Data, covering 9 years, includes 105 million transactions from 128k users, delivering exceptional depth and quality. With detailed transaction insights and demographic information, businesses can uncover precise behavioral patterns, predict spending trends, and perform identity verification with high accuracy. How do we gather our Bank Transaction Data? Users link their bank accounts to our platform, and we aggregate all their Bank Transaction Data through Finicity and Plaid. Key Attributes of the Bank Transaction Data: - Transaction Details: Includes posted date, transaction amount, merchant information, currency, and whether transactions are recurring. - User-Specific Information: Covers user location (country, city, state, zip code) and spending habits, reflected in Debit Card Data and Credit Card Spending Data. - Demographic Data: Features attributes such as gender, birth year, marital status, employment status, and credit score, contributing to detailed Consumer Demographic Data insights. - Identity Verification Elements: Includes KYC Data for secure user identification and transaction behavior analysis, aiding in accurate identity and credit assessments. Primary Applications of Bank Transaction Data: - Spending Analytics: Analyze Bank Transaction Data to gain insights into overall spending patterns and trends, supporting effective financial management and budgeting. - Behavioral Analytics: Use Bank Transaction Data to uncover detailed behavioral patterns, helping to predict future spending habits and inform marketing strategies. - Bank Data Enrichment: Enhance existing customer profiles with additional information from Bank Transaction Data, providing a richer view of financial behaviors and preferences. - Purchase Intelligence: Leverage data to gain deep insights into purchase behaviors, enabling more targeted and effective product and service offerings. - Purchase Behavior Analytics: Analyze spending data to understand consumer purchasing habits and preferences, aiding in tailored marketing efforts and product development.

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
License Starts at
One-off purchase Available
Monthly License Available
Yearly License Available
Usage-based Not available
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
Behavioral Analytics
Bank Data Enrichment

Categories

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Frequently asked questions

What is PG Bank Transaction Data US& Canada, $742M montly volume, 105M Transaction Spending Data perfect for Consumer Trend Analysis?

Our Consumer Transaction Data includes 128k users, 105M transactions, and $742M monthly volume. We offer detailed insights including transaction amounts, merchants, and categories, as well as user demographics. Perfect for deep behavioral analysis and precise targeting.

What is PG Bank Transaction Data US& Canada, $742M montly volume, 105M Transaction Spending Data perfect for Consumer Trend Analysis used for?

This product has 5 key use cases. PG recommends using the data for Purchase Intelligence, Spending Analytics, purchase behavior analytics, Behavioral Analytics, and Bank Data Enrichment. Global businesses and organizations buy Credit Card Data from PG to fuel their analytics and enrichment.

Who can use PG Bank Transaction Data US& Canada, $742M montly volume, 105M Transaction Spending Data perfect for Consumer Trend Analysis?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Credit Card 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 Bank Transaction Data US& Canada, $742M montly volume, 105M Transaction Spending Data perfect for Consumer Trend Analysis go?

This product has 9 years of historical coverage. It can be delivered on a daily basis.

Which countries does PG Bank Transaction Data US& Canada, $742M montly volume, 105M Transaction Spending Data perfect for Consumer Trend 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 Bank Transaction Data US& Canada, $742M montly volume, 105M Transaction Spending Data perfect for Consumer Trend Analysis cost?

Pricing information for PG Bank Transaction Data US& Canada, $742M montly volume, 105M Transaction Spending Data perfect for Consumer Trend 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 Bank Transaction Data US& Canada, $742M montly volume, 105M Transaction Spending Data perfect for Consumer Trend Analysis?

Businesses can buy Credit Card 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 Bank Transaction Data US& Canada, $742M montly volume, 105M Transaction Spending Data perfect for Consumer Trend Analysis?

You can compare and assess the data quality of PG using Datarade’s data marketplace.

What are similar products to PG Bank Transaction Data US& Canada, $742M montly volume, 105M Transaction Spending Data perfect for Consumer Trend Analysis?

This product has 3 related products. These alternatives include PG Sales Transaction Data $742M montly volume, 9 years depth Sales Transaction Data perfect for Sales Analysis, TagX - Transactions data Consumer Spending data Bank Transaction data, and Consumer Transaction Data UK & FR 600K+ daily active users Consumer - Services Raw, Aggregated & Ticker Level. You can compare the best Credit Card Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Pricing available upon request
License Starts at
One-off purchase Available
Monthly License Available
Yearly License Available
Usage-based Not available

PG

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