Payment Analytics FAQ
Last updated:May 18, 2026
What is Payment Analytics?
Payment Analytics is a modern, self‑service analytics capability that provides visibility into payment performance across the full transaction lifecycle, including authorization and authentication (for example, 3DS). It consolidates payment data into a single, consistent experience and replaces fragmented legacy reporting solutions such as BIP Analysis and WebFocus.
What business problem does Payment Analytics solve?
Payment Analytics helps customers understand what drives payment performance and acceptance rates and identify where optimization actions have the highest impact. It enables data-driven decisions to improve acceptance, conversion, and revenue.
Who is Payment Analytics for?
Payment Analytics is designed for:
- Merchants looking to improve payment performance
- PSPs and enterprise customers managing multiple merchants and markets
- Internal teams supporting performance analysis and optimization programs
Access depends on user roles and entity attachment (for example, PSP, merchant, channel).
What kind of visibility does Payment Analytics provide?
Payment Analytics provides transparency into authorization, authentication, and decline behavior.
- Authorization success and decline rates
- Authentication and 3DS performance
- Performance by provider, method, brand, and market
- Decline reason contribution and trends
What dashboards and analysis views are available?
Available views include:
- Payment Overview – high-level performance monitoring
- Authorization and Authentication analysis
- Payment Profiling – detailed analysis with filters
How does Payment Analytics support optimization?
Payment Analytics identifies optimization opportunities and supports data-driven improvements.
- Highlight underperforming providers or flows
- Identify decline drivers
- Enable before/after comparisons
How can users filter and analyze data?
Users can filter data by payment provider, payment type, brand, method, and customer country.
Is the data real time?
No. Payment Analytics is not a real-time tool. Data may be delayed by up to approximately 30 minutes.
Does Payment Analytics change underlying transaction data?
No. It uses existing data sources and provides a modern analytics layer for visualization and analysis.
Can users export analytics data?
Yes. Export is currently supported in .xlsx format.
Will there be further enhancements?
Yes. Planned enhancements include additional dashboards, improved drill-down capabilities, and AI-assisted insights.