Date: Thursday, July 17, at 12:00 p.m. ET

Description: Merchants face a significant challenge in balancing the potential for revenue recovery through retrying failed transactions against the associated costs and penalties. While retries can help recover lost sales, every retry action carries inherent risk to your business, including immediate financial loss (e.g. processing fees and excessive retry penalties) and more long term consequences like negative customer experiences and churn. The critical question is: How can merchants determine the optimal number of retries that maximize their return on investment (ROI) without incurring excessive costs or penalties?

By analyzing the balance between the potential gains from successful retries and the costs or penalties from unsuccessful ones, merchants can develop a data-driven approach to retrying transactions. The aim is to provide actionable insights and guidance on the optimal retry approach, helping merchants maximize revenue while minimizing cost and risk.

We will demonstrate how to effectively track and analyze your retries, evaluate the associated costs, and understand the long-term revenue impact of successfully approved retries. This includes monitoring the following metrics within your own historical and incoming payments data

• Average number of retry attempts made per transaction
• Percentage of initially failed transactions that eventually succeed upon being retried
• Count of total retry declines broken down by decline reason code
• Success rates of retries per PSP and issuing bank
• Percentage of retried transactions that are either flagged as fraudulent or result in chargebacks/refunds (and the associated costs)