How We Turn Billions of Transactions into Market Intelligence

Our data is built on a multi-step data modeling process, powered by transaction data sourced from card issuers and processors.

1bn+

Transactions per Month

100m+

Debit & Credit Cards

Near Real-Time

Update Cycle

Our Transaction Data

Follow the Money

The core of our data are transaction data. All of the transaction data comes from card issuers or processors based on the transactions going over their networks.

Almost real-time data: The transaction data will be delivered with a delay of 7 days after the purchase event and will be immediately processed.

Credit & Debit Cards
Transaction data is captured directly from card issuers or processors when payments are made using credit or debit cards.
E-Wallets
Data from e-wallet transactions is sourced directly from processors handling payments through these digital platforms.
Bank Accounts
Transaction insights are obtained from bank account activity processed through financial networks.
Privacy Regulations
All transaction data collection complies strictly with privacy regulations, ensuring secure and lawful data handling.

Other Data Sources

Our Data Stands on Multiple Pillars

Beyond comprehensive transaction data, our insights are enriched by diverse data sources that provide a holistic understanding of the eCommerce landscape.

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Our Cube Approach

A Multi-Dimensional Model for High-Quality Market Intelligence

The ECDB Cube serves as the core framework of our data model - a coherent, multi-dimensional construct that reflects the complexity of eCommerce by interlinking key perspectives such as markets, retailers, and consumers. It provides the structural foundation for deriving consistent ECDB Revenue Equations that systematically connect key metrics across these dimensions.

Data Cube

The Revenue Equation

The Revenue Equation As Our Backbone

At the core of our approach lies the ECDB Revenue Equation – the logic that connects all dimensions of the ECDB Cube. Unlike many others who rely on isolated or single-source data, we use this equation to systematically link key metrics across retailers, markets, and consumers. This ensures that every figure fits into a consistent structure, validates interdependencies, and enables reliable, source-independent eCommerce market intelligence.

Revenue equation

Our Multi-Stage Approach

A Structured Path to High-Quality Data

From raw information to refined eCommerce market intelligence data, our process is comprehensive and multi-stage. Each step is designed to ensure accuracy, consistency, and reliability, resulting in market intelligence of the highest quality. Through this structured approach, we create insights that stand out in the market.

Data Collection

Research and collection of all relevant data and information.

We draw on a wide range of independent data sources – including retailer figures, store-level research, traffic, transactions, and market statistics. At the core of our collection process are over one billion real-world eCommerce transactions every month. This breadth reduces reliance on any single input, enables cross-checking from multiple angles, and ensures a more accurate and robust data foundation.

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