Transactional data

Transactional data is information captured when users buy your service or product.

Examples of transactional data include:

  • Products/subscriptions purchased, the customer who made the purchase, the date and time of the purchase, how much the customer spent in total, applied discounts or promotions, where the transaction occurred, the payment method used, etc.
  • Customer service communication between the business and customers, types of issues, how the problems were resolved, customer satisfaction and retention metrics, etc.
  • Shipping status, suppliers, logistics partner data, etc.
  • Products returned by customers, reasons for the returns, the amount of refunded money, etc.

Your business can benefit from transactional data by:

  • Identifying trends and patterns in customer behavior.
  • Tracking sales across different channels or regions.
  • Understanding how specific products or services are performing over time.
  • Improving customer service.
  • Making informed decisions about business processes and operations.
  • Enhancing customer experience by delivering more consistent services.
  • Discovering new opportunities for growth and profitability.
  • Tracking your business’ financial performance.

You can combine transactional data with other types of information – such as behavioral data – to provide context to everyday transactions and help organizations better understand what their customers are doing online. Insights provided by transactional data can become actionable – for example, by connecting it to a customer data platform.


  • EU hosting vs. EU sovereignty: Why the difference matters for privacy-first analytics

    As EU-US data transfer tensions continue to evolve, driven by legal uncertainties and heightened regulatory scrutiny, organizations are under increasing pressure to make informed decisions about where and how their analytics data is stored. The collapse of previous data transfer frameworks and the uncertain future of the current EU-U.S. Data Privacy Framework have made one…

  • Why Shopify stores need privacy-compliant analytics

    Shopify store owners depend on analytics to track sales, understand customer behavior, and measure marketing performance. However, as privacy regulations like GDPR, CCPA, and the ePrivacy Directive evolve — and as consumers become more aware of how their data is used — traditional analytics platforms pose increasing risks. Tools that rely on third-party cookies and…