Electronic Payment Data: Best Electronic Payment Datasets & Databases
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
What is Electronic Payment Data?
Electronic payment data is information generated during electronic transactions, such as credit card purchases or online payments. It includes details like the transaction amount, date and time, merchant information, and customer data. This data is crucial for financial institutions, businesses, and individuals to track and reconcile payments, detect fraud, and analyze spending patterns. On this page, you’ll find the best data sources for digital payments dataset, online payments data.
Best Electronic Payment Databases & Datasets
Here is our curated selection of top Electronic Payment Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.
Envestnet | Yodlee's De-Identified Electronic Payment Data | Row/Aggregate Level | USA Consumer Data covering 3600+ corporations | 90M+ Accounts
Envestnet | Yodlee's De-Identified Electronic Payment Research Panel | USA Employee Payroll Data covering 4800+ employers | Cohort Analysis
Ecommerce Store Data | APAC E-commerce Sector | Verified Business Profiles with Key Insights | Best Price Guarantee
AI Training Data | Annotated Checkout Flows for Retail, Restaurant, and Marketplace Websites
Envestnet | Yodlee's De-Identified Food and Grocery Transaction Data | Row/Aggregate Level | USA Consumer Data covering 3600+ Companies | 90M+ Accts
Vision EUR Retail & Ecommerce Sales Data | Austria, France, Germany, Italy, Spain, UK | 6.7M Accounts, 5K Merchants, 600 Companies
Retail Data | Retail Sector in Asia | Verified Business Profiles & Insights | Best Price Guaranteed
Envestnet | Yodlee's De-Identified Electronrics Transaction Data | Row/Aggregate Level | USA Consumer Data covering 3600+ corporations | 90M+ Accounts
Geolytica POIData.xyz Points of Interest (POI) Geo Data - Egypt
Geolytica POIData.xyz Points of Interest (POI) Geo Data - Pakistan
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Top Electronic Payment Data Providers & Companies
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Envestnet | Yodlee
CoverageUSAEnvestnet® | Yodlee® is a market leader in de-identified consumer spend/income data. We tag thousands of public and private companies to billions of transactions that we capture in near real time (T+1) and make available via feeds or dashboard.15 m+Active usersSince 2011HistoryT+2Latency -
Measurable AI
CoverageUSAUK+248- Largest e-receipts panel for emerging markets: Asia, Latin America, Middle East, Turkey, and India - SKU level high definition transactional data that is anonymized and available in granular or aggregated form on a weekly basis - We own our datasets with strict privacy measures in placeGDPR/CCPACompliantSourceOwn consumer appsCoverageEmerging Markets -
Coface Business Information
CoverageUSAUK+248Gain confidence in your decision-making with Coface Business Information. We transform curated, daily data into actionable insights – so you get ahead of what’s coming next.$715 BInsurance risk exposure+200Markets covered75 yearsExpertise -
90 West Data
CoverageUSAUnique US consumer transaction data. Insights from millions of daily transactions.100%Client focused100%Clean, Complete, Transparent100%Research Ready -
Photon Commerce
CoverageUSAUK+113The company streamlines the collection, processing, validation, and management of purchase data from the receipts, invoices, and payments data of consumers and businesses from physical retail, eCommerce, and distribution. It has processed over $11B with First Data, Stripe, Microsoft, and others.Amazontransaction purchase historyAppleSKUsWalmarttransaction purchase history
Popular Use Cases for Electronic Payment Data
Electronic Payment Data is essential for a wide range of business applications, offering valuable insights and driving opportunities across industries. Below, we have highlighted the most significant use cases for Electronic Payment Data.
Main Attributes of Electronic Payment Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The name of a country. | View 6 datasets | |
| String | The address of a company or contact (street name, number, zip code, city, county, country). | View 4 datasets | |
| String | The identifier (ID) of an area. | View 4 datasets | |
| String | The name of a brand. | View 4 datasets | |
| String | The name of a city. | View 4 datasets | |
| String | The email address of a company or contact. | View 4 datasets |
What Are Examples of Electronic Payment Data?
Examples of electronic payment data include transaction details, customer information, payment method used, and purchase history. Here is the complete list:
- Transaction Amount: The total amount of the transaction.
- Date and Time: When the transaction occurred.
- Merchant Information: Details about the merchant receiving the payment.
- Customer Information: Data about the customer making the payment.
- Payment Method: Type of payment used, such as credit card, debit card, or electronic wallet.
- Purchase History: Record of past transactions by the customer.
Electronic Payment Data Attributes
Imagine an online purchase made through a digital wallet. The electronic payment data for this transaction would include:
- Transaction Amount: $120.00
- Date and Time: July 1, 2024, at 3:45 PM
- Merchant Information: ABC Electronics, merchant ID #4567
- Customer Information: John Smith, customer ID #12345
- Payment Method: Digital wallet
- Purchase History: Previous purchases including a laptop and headphones
You can find this type of data in databases and datasets that fall under the category of transaction data, consumer transaction data and B2B transaction data.
How is Electronic Payment Data Collected?
Electronic payment data is collected through various methods, depending on the payment system used:
- POS Systems: Capture Point of Sale (POS) data.
- Online Payment Gateways: Process payments for e-commerce transactions.
- Mobile Payment Apps: Collect data from transactions made via mobile devices.
- Bank Systems: Bank transaction data from electronic funds transfers and direct bank payments.
How is Electronic Payment Data Used?
Electronic payment data is used for various purposes such as:
- Fraud Prevention: Identifying unusual transaction patterns that may indicate fraud.
- Sales Analysis: Understanding revenue trends and financial performance.
- Customer Behavior Analysis: Gaining insights into customer purchasing habits.
- Payment Process Improvement: Streamlining and enhancing payment processes.
What Are the Models of E-Payment?
Several models of electronic payment systems cater to different needs:
- Single Payment Systems: Traditional one-time payment methods.
- Recurring Payment Systems: Models for subscriptions and recurring services.
- Micropayment Systems: Handling small transactions often used in digital content purchases.
- Mobile Payment Systems: Specialized models for transactions via mobile devices.
Digital Payment vs. Electronic Payment
While often used interchangeably, digital payments and electronic payments have distinct differences:
- Digital Payment: Encompasses all forms of payments made electronically, including cryptocurrencies and digital wallets.
- Electronic Payment: Typically refers to payments made using traditional electronic methods like credit cards and bank transfers.
Electronic Data Interchange (EDI) in Payments
EDI is a method used to transfer payment information between businesses in a standardized format:
- Automated Transactions: Streamlines the exchange of payment data between organizations.
- Standard Formats: Uses specific formats to ensure consistency and accuracy.
- Cost-Effective: Reduces the need for manual processing and minimizes errors.
Frequently Asked Questions
How Frequently is Electronic Payment Data Updated?
Electronic payment data can be updated on a daily, weekly, monthly, quarterly, or yearly basis. The update frequency depends on the provider and the specific needs of the business.
What Formats are Available for Electronic Payment Data?
Electronic payment data is commonly available in formats such as .sql, .txt, .json, .xml, and .csv. These formats facilitate easy integration with various data analysis and business intelligence systems.
What Geographic Areas Does Electronic Payment Data Cover?
Electronic payment data typically covers specific regions or countries. For example, some data cover the USA, while others might include regions like Asia, EMEA, LATAM, MENA, and India.
How Much Historical Data is Available for Electronic Payment Data?
The amount of historical data available varies by provider. Some datasets offer up to 10 years of historical data, enabling detailed trend analysis and long-term market research.
What is the Volume of Electronic Payment Data Available?
The volume of electronic payment data can be extensive, covering millions of transactions from thousands of merchants. For instance, some providers offer data from over 3,000 merchants and millions of users, with high precision tagging for detailed analysis.
How Accurate is Electronic Payment Data?
The accuracy of electronic payment data is typically high, with some providers reporting up to 100% match rates and 99% precision tagging. This ensures reliable and precise insights for business decision-making.
How Can Electronic Payment Data Be Delivered?
Electronic payment data can be delivered via methods such as S3 Bucket, REST API, and file formats including .sql, .txt, .json, .xml, and .csv. These delivery methods provide secure and efficient access to large volumes of data.
How is Electronic Payment Data Sourced?
Electronic payment data is sourced from de-identified consumer credit, debit, and ACH transactions. The data is aggregated from financial technology platforms and includes detailed information such as transaction history, account details, and merchant information.
What Privacy and Compliance Measures are Taken for Electronic Payment Data?
Electronic payment data is de-identified and aggregated to ensure privacy and compliance with industry standards. Providers apply rigorous data science practices and adhere to federal and state regulations to maintain data quality and privacy.
What is the Cost Structure for Electronic Payment Data?
The cost of electronic payment data varies depending on the provider and the specific requirements of the business. Pricing models are typically customized based on data volume, delivery frequency, and the level of detail required.
How Can Businesses Integrate Electronic Payment Data?
Businesses can integrate electronic payment data into their existing systems using the provided formats (.sql, .txt, .json, .xml, .csv) and delivery methods (S3 Bucket, REST API). This integration enables seamless data analysis and supports various business intelligence applications.
What Similar Data Types Complement Electronic Payment Data?
Electronic payment data can be complemented by other data types such as Point-of-Sale (POS) Data, Sales Transaction Data, B2B Transaction Data and SKU-Level transaction data.
