TagX - Transactions data | Consumer Spending data | Bank Transaction data product image in hero

TagX - Transactions data | Consumer Spending data | Bank Transaction data

TagX
4.9(2)Badge iconVerified Data Provider
Description
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Name
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Volume
8M
records
Data Quality
100%
match rate
Avail. Format
.csv
File
Coverage
2
Countries
History
4
years

Data Dictionary

Product Attributes
Attribute Type Example Mapping
Description
PAYPAL *DOLL D
amount
16.33
date
01-09-2021
Name
Harry Loft

Description

Analyze GDPR compliant credit card/debit card transactions happening all over the world to create world-class data science or Artificial intelligence products for finance, banking, insurance, lending services, and much more. Use cases - Training AI models.
We curate data from thousands of bank statements, credit card statements, and debit card statements to create a multipurpose financial dataset for fintech, banking, insurance, and lending companies. Clients can analyze spending behavior, consumer preferences, loan eligibility, credit worthiness, previous credit history, and consumer preferences based on income, geography, and much more. The dataset is very extensive but clients can request more data points based on their requirements. Deliveries can be one-time or subscription-based as well. About TagX : We are a premier data solutions company based out of the UAE helping companies to secure images, text, audio, videos, and information-rich data assets for their artificial intelligence or data science efforts. We are a young vibrant team of about 90 people helping companies in their data journey since 2020

Country Coverage

North America (2)
Canada
United States of America

History

4 years of historical data

Volume

8 million records
8 million records
8 million records

Pricing

Free sample available
10% discount if you buy via Datarade
License Starts at
One-off purchase
$3,000$2,700 / purchase
Monthly License Not available
Yearly License Not available
Usage-based Not available

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Quality

Self-reported by the provider
100%
match rate

Delivery

Methods
S3 Bucket
Email
UI Export
Frequency
monthly
on-demand
Format
.csv

Use Cases

Consumer Trend Analysis
Consumer Intelligence Account Profiling
Consumer Data Enrichment
Account Scoring

Categories

Related Searches

Related Products

Frequently asked questions

What is TagX - Transactions data Consumer Spending data Bank Transaction data?

Analyze GDPR compliant credit card/debit card transactions happening all over the world to create world-class data science or Artificial intelligence products for finance, banking, insurance, lending services, and much more. Use cases - Training AI models.

What is TagX - Transactions data Consumer Spending data Bank Transaction data used for?

This product has 5 key use cases. TagX recommends using the data for Consumer Trend Analysis, Consumer Intelligence, Account Profiling, Consumer Data Enrichment, and Account Scoring. Global businesses and organizations buy B2B Intent Data from TagX to fuel their analytics and enrichment.

Who can use TagX - Transactions data Consumer Spending data Bank Transaction data?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for B2B Intent Data. Get in touch with TagX to see what their data can do for your business and find out which integrations they provide.

How far back does the data in TagX - Transactions data Consumer Spending data Bank Transaction data go?

This product has 4 years of historical coverage. It can be delivered on a monthly and on-demand basis.

Which countries does TagX - Transactions data Consumer Spending data Bank Transaction data cover?

This product includes data covering 2 countries like USA and Canada. TagX is headquartered in United Arab Emirates.

How much does TagX - Transactions data Consumer Spending data Bank Transaction data cost?

Pricing for TagX - Transactions data Consumer Spending data Bank Transaction data starts at USD3,000 per purchase. TagX offers a 10% discount when you buy data from them through Datarade. Connect with TagX to get a quote and arrange custom pricing models based on your data requirements.

How can I get TagX - Transactions data Consumer Spending data Bank Transaction data?

Businesses can buy B2B Intent Data from TagX and get the data via S3 Bucket, Email, and UI Export. Depending on your data requirements and subscription budget, TagX can deliver this product in .csv format.

What is the data quality of TagX - Transactions data Consumer Spending data Bank Transaction data?

TagX has reported that this product has the following quality and accuracy assurances: 100% match rate. You can compare and assess the data quality of TagX using Datarade’s data marketplace. TagX has received 2 reviews from clients. TagX appears on selected Datarade top lists ranking the best data providers, including Who’s New on Datarade? June Edition, Best 5 Facebook Data Scrapers to Utilize in 2023, and Best +8 Web Scraping APIs to use in 2023.

What are similar products to TagX - Transactions data Consumer Spending data Bank Transaction data?

This product has 3 related products. These alternatives include Envestnet Yodlee’s De-Identified Bank Transaction Data Row/Aggregate Level USA Consumer Data covering 3600+ corporations 90M+ Accounts, Transact Leisure & Recreation Consumer Transaction Data USA Data 100M Credit & Debit Cards, 12K Merchants, 800 Parent Companies, 600+ Tickers, and TagX - Synthetic Bank Statements Data Savings account / Checking accounts / Business accounts Global coverage. You can compare the best B2B Intent Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Starts at
$3,000$2,700 / purchase
License Starts at
One-off purchase
$3,000$2,700 / purchase
Monthly License Not available
Yearly License Not available
Usage-based Not available

TagX

We create digital data assets powering Artificial Intelligence

Verified provider icon Verified Provider
10h Avg. response time
100% Response rate

Trusted by

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