Issuers should monitor more than transaction volume. A useful 3D Secure view includes authentication success, frictionless and challenge ratios, decoupled activity, decline reasons, errors, device channels, issuer and scheme views, and trends over time.<\/p>\n
The purpose of these metrics is not to create one universal benchmark. Authentication behaviour depends on the issuer\u2019s portfolio, risk strategy, merchant mix, geography, channel and regulatory environment.<\/p>\n
The value comes from understanding the issuer\u2019s own baseline, identifying changes and being able to investigate why those changes occurred.<\/p>\n
Transaction volume answers one question: how much activity passed through the authentication environment?<\/p>\n
It does not explain whether those transactions were authenticated successfully, whether they were frictionless or challenged, why they were declined, whether errors were increasing or which channels were involved.<\/p>\n
A useful ACS dashboard should therefore help teams move from volume to context.<\/p>\n
Authentication success ratio provides a high-level view of how many authentication attempts reach a successful outcome according to the organisation\u2019s reporting definition.<\/p>\n
The exact definition should be agreed internally and applied consistently. If teams calculate the metric differently across reports, trend comparisons become unreliable.<\/p>\n
The most useful question is often not \u201cis this number good?\u201d but \u201chas it changed, and if so, why?\u201d A change may justify segmentation by issuer, scheme, channel, authentication method or time period.<\/p>\n
One of the defining characteristics of EMV 3DS is the ability for suitable transactions to complete authentication without an active cardholder challenge.<\/p>\n
Tracking the proportion of frictionless and challenged authentication helps teams understand the mix of authentication outcomes.<\/p>\n
There is no universal ideal ratio. A portfolio with different risk characteristics, regulatory requirements or cardholder behaviour may naturally produce a different mix. The metric becomes most useful when it is monitored over time and investigated alongside risk and decline information.<\/p>\n
For more on how risk-based authentication supports frictionless decisions, see the GPayments RBA and 3D Secure 2 whitepaper<\/a>.<\/p>\n Where decoupled authentication is used, it should be visible separately from standard frictionless and challenge activity.<\/p>\n Decoupled flows allow authentication to occur outside the immediate 3DS interaction and can therefore have different timing and operational characteristics. Reporting them separately helps teams understand how often the capability is being used and investigate its outcomes appropriately.<\/p>\n A decline count without reason-level visibility can hide very different problems.<\/p>\n Some declines may reflect the issuer\u2019s authentication strategy. Others may relate to missing information, configuration or conditions that require investigation.<\/p>\n Reason-level reporting helps teams distinguish patterns and ask more specific questions. For example:<\/p>\n The objective is not only to count declines, but to understand their shape.<\/p>\n Errors provide a different signal from declines. They can point to protocol, integration, configuration or operational problems that need technical investigation.<\/p>\n Monitoring error categories and individual error codes over time can help teams identify recurring patterns and isolate where a problem is occurring.<\/p>\n A useful reporting view should make it possible to move from an overall error count into more specific distribution and segmentation.<\/p>\n 3D Secure authentication can occur across different channels, including browser, app and 3RI scenarios.<\/p>\n Channel-level reporting helps issuers understand whether authentication behaviour differs between those environments. If an error or challenge pattern appears primarily in one channel, that information can materially narrow the investigation.<\/p>\n Channel should therefore be treated as a standard reporting dimension, not simply a technical field.<\/p>\n Aggregated reporting is useful for executive context, but operational investigation usually requires segmentation.<\/p>\n Issuer teams should be able to filter or compare activity by dimensions such as:<\/p>\n Time is particularly important. A monthly total can hide a sharp change that lasted only a few hours or days. Daily, monthly and custom-range views provide different levels of context.<\/p>\n Metrics become useful when they lead to better questions.<\/p>\n Examples include:<\/p>\n The dashboard does not replace risk analysis or transaction-level investigation. It helps teams decide where to look next.<\/p>\n ActiveAccess<\/a> includes interactive dashboard and reporting capabilities designed to give issuer teams clearer visibility across authentication activity.<\/p>\n The dashboard includes views for transaction volumes, success ratios, challenge and frictionless activity, decoupled authentication, decline reasons, errors, device channels and issuer-level filtering, with daily, monthly and custom date-range analysis.<\/p>\n That visibility complements the wider ActiveAccess administration environment, which gives teams control over authentication configuration and cardholder challenge experiences.<\/p>\n If reporting and operational visibility are part of your ACS evaluation, see our enterprise ACS guide<\/a> or explore ActiveAccess<\/a> directly.<\/p>\n It is a reporting measure showing the proportion of authentication attempts that reach the organisation\u2019s defined successful outcome. The definition should be consistent so trends can be compared reliably.<\/p>\n Frictionless authentication completes without an active cardholder challenge, while challenge authentication requires additional cardholder interaction. Tracking the ratio helps teams understand the authentication mix.<\/p>\n Issuers should monitor overall errors, error categories and individual error codes relevant to their ACS and integrations, then segment by issuer, scheme, channel and time when investigating changes.<\/p>\n Useful views include transaction volume, authentication success, frictionless and challenge ratios, decoupled activity, declines, errors, channels, issuer or scheme filters and trends over time.<\/p>\nDecoupled authentication activity<\/h2>\n
Decline reasons<\/h2>\n
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Errors and error-code distribution<\/h2>\n
Device channel split<\/h2>\n
Scheme, issuer and time-based views<\/h2>\n
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Turn reporting into better questions<\/h2>\n
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How ActiveAccess brings these views together<\/h2>\n
Frequently asked questions<\/h2>\n
What is a 3D Secure authentication success rate?<\/h3>\n
What is the difference between frictionless and challenge rates?<\/h3>\n
Which 3DS errors should issuers monitor?<\/h3>\n
What should an ACS dashboard show?<\/h3>\n