In today’s digital era, payments have seamlessly integrated into everyday life, encompassing online transactions, point-of-sale (POS) operations, e-commerce purchases, and other modern methods. Merchants increasingly rely on payment service providers to facilitate these transactions, utilizing solutions such as payment links, hosted checkout pages, and direct integrations.
The performance of these providers is often measured through the analysis of transaction success rates (also referred to as authorization rates), a critical metric merchants use when conducting a cost-benefit analysis — evaluating the success percentage against transaction charges. As many merchants integrate with multiple providers, success rates play a pivotal role in determining transaction routing strategies, ultimately influencing who gets the bulk of their transaction volumes.
While at first glance, the concept of a success rate seems straightforward — the proportion of successfully processed transactions relative to the total number of attempts — the reality is more nuanced. Two key factors complicate this definition:
- Timing of Calculation: Whether the success rate is calculated in real-time or at a later point in the transaction lifecycle.
- Status Consideration: The variety of transaction statuses that must be accounted for.
Many transactions may not have a conclusive status in real time, often remaining in a “pending” state that requires further decisioning. These pending transactions may eventually resolve into statuses such as success, failure, forced success, or forced failure. Ideally, these eventual outcomes should be incorporated into the success rate calculation. (Note: In rare instances, transactions originally marked as failed may be manually forced to “success.” However, such cases are typically few and cannot be systematically included.)
Common Causes of Failed or Pending Transactions
Failures or pending outcomes can stem from multiple points within the payment flow:
As evident, the majority of failure or pending reasons do not originate from the payment provider’s side. Instead, they are often attributable to:
- Technical issues at the payer’s bank
- Configuration or validation issues on the merchant’s end
- Business logic or financial constraints at the payer, their issuing bank, or the merchant
Redefining Success Rate Calculation
Given the above, a more accurate formula for determining a payment provider’s success rate would be:
Success Rate (Provider)=Successful Transactions / Total Transactions(Failures not due to Provider)
To implement this approach, payment providers should classify all error codes into the categories (A–H) described earlier and apply this adjusted calculation accordingly.
An Opportunity for Deeper Merchant Insights
This refined approach not only offers a fairer evaluation of payment providers but also opens up opportunities for merchants to analyse their own transaction issues more effectively. By studying error codes in detail, merchants can identify patterns related to:
- Specific payer behaviours
- Issuing bank shortcomings
- Internal system or process gaps
Understanding these patterns enables proactive optimization of their payment strategies.
Conclusion
The payments ecosystem demands collaborative efforts from payment providers, merchants, and payers alike to ensure seamless transaction journeys. By redefining how success rates are evaluated and acting upon deeper transaction insights, stakeholders can collectively drive improved authorization rates and better overall user experiences.