This is the second article in a two-part series on payments metrics for corporate treasury

Corporate treasury teams navigating today’s challenging environment cannot afford blind spots in how payments perform. In uncertain times, monitoring a targeted set of payments effectiveness metrics helps treasury move beyond speed and cost to ensuring transactions complete successfully, exceptions are minimised, payments fraud is contained, and counterparties experience reliable and predictable outcomes.

While Part 1 of this series outlined six key metrics to augment payments efficiency, and efficiency measures such as cost per payment or percentage of automated payments remain critical, they do not fully reveal whether payments are accurate, timely, and resilient to fraud. Payments effectiveness metrics close this gap by highlighting leakages, failures, and risk points across the payments value chain. Used together, efficiency and effectiveness metrics form a pragmatic dashboard for treasury to support strategic decisions related to bank relationships, technology investments, and fraud controls.

The following section—drawn from the Association for Financial Professionals® (AFP) Executive Guide: Selecting the Right Treasury Metrics—highlights ten key payments effectiveness metrics that give treasury leaders clear visibility into where payments succeed, fail, or introduce friction and risk. We have explained these below to help corporate treasury strengthen payments execution and control, particularly during periods of uncertainty.

1. Number of payment exceptions

This metric measures the volume of payments that fail, require manual review or repair, or trigger investigation.

A high number of payment exceptions often signals data quality issues, weak validation rules, or unstable connectivity between the ERP, TMS, and banking partners. Tracking exceptions helps treasury identify systemic weaknesses that disrupt cash visibility, delay settlement, and increase operational workload.

2. Exceptions by payment type

Breaking down exceptions by payment type—ACH, real‑time payments, wires, cards, or cheques—shows where issues or failures are concentrated.

Monitoring exceptions by payment type enables treasury teams to refine routing decisions, address payment method-specific risks, improve master data, and adjust channel strategy for greater accuracy and stability.

3. Average payment processing time

Average payment processing time captures how long it takes for a payment to move from initiation to settlement, including internal approvals, bank processing, and compliance screening. This metric is particularly important for cross‑border and high‑value payments, where delays can affect supplier relationships and working capital.​

Persistent bottlenecks may reveal fragmented systems or inefficient bank routing. Treasury can use this metric to prioritise automation, process improvements, and the selective adoption of real‑time or instant payments where speed is critical and justified.

4. Authorization rate

Authorization rate quantifies the percentage of payment attempts approved by the issuing bank or payment provider.

Low authorization rates may reflect outdated or incomplete transaction data, mismatched credentials, or misapplied payment rules. Improving this rate reduces unnecessary declines, protects revenue, and enhances counterparties’ payment experience.

5. Transaction success rate

This metric evaluates the percentage of transactions successfully completed after authorization.

A strong success rate assures treasury that authorized funds are reaching beneficiaries on time, enabling predictable cash outflows and accurate forecasting. Where rates lag, corporate treasury teams should review causes—cut‑off issues, bank rejections, compliance-related interruptions, or reconciliation breaks—and work with providers to resolve them.

6. Chargeback rate

Chargeback rate reflects the percentage of transactions disputed and reversed by customers.

High chargeback rates increase operational cost, expose the organization to loss, and can strain bank and provider relationships. Treasury plays a key role in partnering with sales, operations, and risk teams to understand chargeback patterns, tighten dispute management, and refine fraud prevention strategies while maintaining a frictionless payment experience.

7. Refund rate

Refund rate measures the proportion of transactions resulting in customer refunds, whether initiated by the customer or the company.

Although some refunds are inevitable, spikes can indicate billing errors, duplicate payments, product issues, or service breakdowns. From a treasury perspective, high refund rates complicate cash forecasting and reconciliation, while increasing processing costs. By analysing this metric, treasury can spotlight margin erosion or cashflow volatility and collaborate with finance and operations to address root causes.

8. Fraud rate

Fraud rate captures the proportion of transactions identified as fraudulent, including both external and internal attempts.

As AI‑driven fraud proliferates, monitoring fraud rates alongside authorization and success rates helps treasury balance robust controls with seamless execution.  Monitoring this metric over time helps treasury assess the impact of critical controls—such as multi‑factor authentication, positive pay fraud protection, payment screening and behavioural analytics. Ideally, fraud rates should decline even as payment volumes rise, demonstrating effective risk management.

9. Payment retry rate

Payment retry rate measures how often customers or counterparties must reattempt a payment following an initial failure.

High retry rates increase operational burden and frustrate customers or suppliers. They can point to authorization breakdowns, poor bank connectivity, configuration errors, or weak user experience. Targeting a lower retry rate drives improvement in end‑to‑end transaction monitoring, testing of new payment rails, and exception handling.

10. Account verification service positive match rate

This rate represents the percentage of payments where beneficiary account details are successfully validated through an account verification service before execution.

High positive match rates reduce misdirected payments, exceptions, and fraud, while building counterparties’ confidence in treasury’s reliability. As real-time and irrevocable payments expand, strong account verification becomes a critical safeguard for treasury operations, especially for high‑risk or high‑value transactions.

Conclusion

No single metric can fully capture payments effectiveness. The real power lies in viewing these ten measures as an integrated dashboard covering reliability, accuracy, risk management, and counterparty experience. When combined with payments efficiency metrics, they give corporate treasury a comprehensive view of how effectively payments are processed and how well they support enterprise strategy.

As the payments landscape transforms, fraud threats intensify, and macroeconomic uncertainty persists, treasury departments that consistently measure and act on these effectiveness metrics will be better positioned to safeguard cash flows, strengthen banking relationships, and deliver durable value to the organization. In complex times, disciplined measurement remains one of corporate treasury’s most powerful tools for maintaining control, trust, and resilience across the payments’ ecosystem.

 

To read the first part of this article series, click here: