What's New?
In this release, we’ve improved the way payment analytics are tracked and presented, allowing you to gain more accurate, actionable insights into your store's payment health. This update addresses some key limitations of our previous approach and introduces a more segmented view of the payment lifecycle.

How We Used to Track Payment Analytics:

Previously, our payment analytics tracked under recovery as part of all our key metrics calculations. This included failed payment attempts that were still in the process of recovery, skewing the results. The problem with this approach was:

1. Under Recovery Included in All Metrics

   • We included under-recovered payments (payments that were in the process of being recovered through retries or card updates) in payment success metrics.
   • This inflated the base values for Success, making the rate appear lower than actual.
   • The inclusion of under-recovery caused lower accuracy and misleading trends, especially in understanding the actual success and failure rates for payment attempts.

2. Lack of Clear Segmentation

   • We did not have a clear distinction between the initial payment attempt, first cycle recovery, and subsequent cycles of recovery.
   • This made it challenging to see how payments were performing across different stages of the recovery process and resulted in an incomplete picture of payment health.
     
     
     
     
     

What’s Changed: More Segmented & Accurate Payment Analytics

In this update, we’ve introduced a new segmentation model that divides payment attempts into three clear stages:

1. First Attempt
2. First Cycle Recovery
3. Multiple Cycle Recovery (1+ Cycle)

This change drastically improves the accuracy and clarity of the payment data provided, offering you a more insightful view of your store’s payment health.

Key Benefits of the New Approach:

1. Clearer Payment Lifecycle View

   • Payments are now segmented into distinct stages, giving you a better picture of payment success and recovery performance at each point in the lifecycle.

   • You can track:

     • First Attempt: How often initial payment attempts are successful.
     • First Cycle Recovery: How well we recover payments that fail on the initial attempt (via retries and card updates).
     • Multiple Cycle Recovery: How payments that fail in the first order cycle are recovered in subsequent order cycles 

2. More Accurate Metrics

   • By excluding under recovery from the core metrics, we now focus on actual realized payments. This allows us to calculate Success, Recovered, and Lost more accurately and reflects the true payment performance.
   • The under-recovery amount is now tracked separately, which provides clearer insights into payments that are still in the process of recovery. This prevents distortion of the success rate calculations.

3. Improved Payment Health Understanding

   • The new approach helps you understand where in the payment lifecycle issues are happening:

     • Are payment failures occurring at the first attempt?
     • Is the recovery process working well after the first cycle?
     • What’s happening with payments in dunning and after multiple retry attempts?
   • By analyzing these distinct stages, you can target improvements in the payment process more effectively.

🔧 To learn more about Payment analytics, check out our help article to get started.