TxnMetrics

Data Marketplaces

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This platform provides anonymized and aggregated transaction data to support data analytics, benchmarking, and market intelligence for data teams and financial analysts. It offers structured datasets covering merchant activity, payment channels, settlement performance, user profitability, and network identity, available in formats such as CSV, Parquet, and API-ready exports with frequent updates to ensure current insights, aimed at organizations seeking to analyze payment distribution, settlement efficiency, merchant performance, and user behavior.

TxnMetrics can be found in Data Marketplaces categories.

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Drequ Verified profile Promoted → Spade → Prism Data → Lune → Wenalyze →

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TxnMetrics Main Features

• Identity Edge
  Links merchant users into a network using hashed identities for better user analysis.
• Merchant Data
  Includes information about merchant deposits, payouts, net value, payout ratios, and activity windows.
• Whale Segments
  Classifies top users based on their deposit totals and payout behavior to identify high-value users.
• Recurring Updates
  New data is added regularly to keep your analytics current and accurate.
• Analytics-Ready Data
  Data is prepared for immediate use in your data systems without extra processing.
• Network User Summary
  Provides global summaries of users across merchants, including deposits, payouts, active days, and network segments.
• Payment Channel Data
  Includes information about different payment methods like Cards, ACH transfers, and Wallets.
• Payout Integrity Data
  Offers a view of unresolved payout records to ensure payout accuracy and security.
• User Profitability Data
  Shows how profitable users are, including their deposit frequency, payout activity, and cashout timings.
• Multiple Delivery Formats
  Exports data in CSV, Parquet, or API format so you can use it easily with your tools.
• Average Settlement Latency
  Tracks how long it takes on average (8.4 hours) to settle transactions across different segments.
• Release of Complete Tables
  Provides full sets of data with schema, sample rows, and documentation with each update.
• Structured, Aggregated Datasets
  Offers organized data about merchants, payments, settlements, and fees for easy analysis and benchmarking.
• Anonymized Transaction Analytics
  Provides data about transactions that doesn't include personal information, helping data teams analyze activity safely.

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