Payment analytics
The Payments Analytics section provides valuable insights into your payment performance, recovery efforts, and failure trends. This is crucial for understanding the subscription payment lifecycle, tracking payment success, evaluating recovery rates, and identifying potential risks.
In this article, we’ll break down the key features and metrics available in the Payments Analytics section and guide you on how to leverage these insights for better payment management.
In this article
- Key highlights
- Key payment metrics
- Recovery analytics
- Payment Failure Analytics
- Upcoming Payments
- Key Takeaways
- Related articles
- Need help?
Key Highlights
- Payment Success & Failures: Track how much of your subscription revenue was successfully realized and identify where and why payments are failing.
- Recovery Performance: Evaluate the effectiveness of the payment recovery efforts through retries and backup payment methods.
- Backup Payments: Assess how backup card attempts impact your recovery rates and overall revenue.
- Failure Reasons: Dive deep into the reasons for payment failures and explore ways to mitigate them.
- Country and Payment Provider Analysis: Analyze payment performance by country and payment provider to identify trends and optimize payment strategies.
- Time-Based Trends: Track the performance of payments over time to see how payment success and failure trends evolve.
Key Payment Metrics
- Payments Snapshot (Last 30 Days)
Provides a quick glance at your payment performance over the last 30 days, including total attempted, success, recovery, and losses.
Insights: This snapshot is your starting point to evaluate the overall health of your payment systems over the past month. It helps you assess if you're achieving your payment goals and identify areas that need attention.
Total Attempted: The total subscription order value attempted in the last 30 days.
Insights: This metric shows you the total value of orders processed for payment attempts. A high value could indicate strong sales volume, while a low value might suggest fewer subscriptions or issues in payment processing.
Success: The total subscription order value realized against attempted payments.
Insights: This shows the amount of revenue successfully collected from attempted payments. A low success rate could indicate issues with payment processing, potentially due to failures in authorization or card issues.
Recovered: The amount of subscription value recovered through Loop’s retry engine after initial failure.
Insights: Recovered payments indicate the effectiveness of Loop's retry mechanism in recovering failed payments. High recovery is a positive sign that you are able to salvage payments that would otherwise have been lost.
Lost: The amount of subscription value lost from payments where the last retry attempt failed.
Insights: This metric highlights the value that was lost due to payment failures. Identifying high loss values can help you identify weak points in your payment flow, whether it’s recurring billing issues or inadequate retry strategies.
*. Success vs Failed Revenue (Last 12 Months)
A month-on-month trend of realized payments (success) versus failed payments over the last 12 months.
Insights: This provides a longitudinal view of payment trends, helping you assess if payment failures are increasing or decreasing over time. Regular failures could signal an issue in payment provider relationships or a need for stronger recovery efforts.
- Payments Summary
Tracks overall, non-dunning, and dunning payment realization over a selected time period.
Insights: By monitoring overall payment realization, you can better assess how your payments are performing in comparison to non-dunning and dunning cases. This insight helps you identify where your payment flow might be breaking down.
Overall Success: Total payments realized over the selected time period.
Insights: This metric gives you a summary of the total payments successfully processed during the selected period. A low overall success could point to recurring issues in payment processing or
First Attempt Success: The percentage of subscription payments that were successful on the first attempt.
Insights: A high first attempt success rate is a positive indicator that payment methods and details are correct at the time of transaction. A low rate might suggest customers are encountering issues during checkout.
Retry Attempt Success: Subscription payments that were recovered by Loop’s retry engine after an initial failure.
Insights: This metric is crucial in understanding how well your system recovers from initial payment failures. High success rates here indicate that your retry engine is effective in saving transactions that would have otherwise been lost.
- Backup Payments Summary
A summary of backup card attempts and recovery rates.
Insights: This metric evaluates how effective backup card attempts are in recovering failed payments. A higher backup recovery rate indicates that backup cards are a valuable tool in maintaining subscription revenue.
Backup Attempt Rate: The percentage of failed orders where a backup card was attempted.
Insights: A higher backup attempt rate suggests that you’re proactively using backup payment methods to recover failed transactions, which can improve payment success rates.
Backup Recovered: The number of orders successfully recovered via backup payments and the associated revenue.
Insights: This metric shows the direct impact of backup payments on your revenue, providing insight into how well your backup card strategy is contributing to payment recovery.
- Payment Source Distribution
Analyzes payment realization by provider, along with non-dunning and dunning recovery splits.
Insights: This breakdown helps you understand which payment providers are contributing to successful payment processing and which might be underperforming. This insight is valuable when evaluating or negotiating with payment processors.
- Country-Wise Payment Distribution
Analyzes payment realization by country, along with non-dunning and dunning recovery splits.
Insights: Country-specific performance data helps you identify regional trends, including potential issues with certain payment methods or providers in specific countries. It allows for targeted optimization strategies in different markets.
- Payments Over Time
A trend of realized vs. failed payments grouped by different time periods.
Insights: This visualization allows you to track changes in payment performance over time, helping you understand seasonal patterns or the impact of changes made to your payment process.
Recovery Analytics
- Recovery Performance
Overview of subscription recovery efforts, including recovered, still in recovery, customer skipped/cancelled, and lost subscriptions.
Insights: This provides a snapshot of how your payment recovery efforts are going. It’s key to understanding whether your payment failures are recoverable or lost, and where you can focus to improve recovery rates.
- Recovery Contribution Split
Breaks down payment recovery efforts by method (card update vs retry).
Insights: This breakdown allows you to evaluate which recovery methods are working better—whether updating payment methods or retrying payments is more effective.
- Recovery Contribution Trend
Tracks the overall trend of recovered payments over time, breaking down the impact of card updates versus payment retries.
Insights: This metric helps you understand how payment recovery is evolving over time, including which recovery methods (card updates vs retries) are having a greater impact on your overall success.
- Failure Reason Wise Recovery Contribution
Definition: Breaks down recovery performance by the leading failure reasons, showing overall recovery and recovery methods (Card update vs retry).
Insights: This provides insights into which specific failure reasons are most likely to be recovered, helping you target efforts for those high-recovery areas and refine your strategies for others.
- Recovery by Retries
Recovery effectiveness based on the retry number for each order cycle.
Insights:This metric tracks how effective your recovery efforts are as retries progress. Understanding at which retry attempt payments are most likely to be successfully recovered can help you optimize your retry strategy.
- Recovery by Failure Reason
Recovery rate for each failure reason and the distribution of successful recoveries across retry attempts.
Insights: Understanding which failure reasons lead to successful recoveries can help you improve your processes and prevent future failures in similar cases.
Payment Failure Analytics
- Failures Summary
An overview of payment sources and failure reasons contributing to the highest number of payment failures.
Insights: This metric helps you identify the primary sources of failure, whether due to payment provider issues, card declines, or other reasons. It’s essential for troubleshooting and improving your payment flow.
- Payment Failure Reasons
Distribution of payment failures across different reasons grouped by time periods.
Insights: By analyzing why payments are failing, you can target specific issues, such as expired cards or insufficient funds, and take corrective action.
Total Failures
Distribution of payment failures across different reasons grouped by time periods.
Insights: This shows the overall scope of payment failures. A high number indicates issues that need immediate attention, such as retry strategies or pay ment gateway improvements.
Upcoming Payments
The Upcoming Payments section helps you monitor and manage payments that are about to be processed. It provides a list of upcoming payments along with their associated risk levels, enabling you to identify potential issues before they arise.
Filters:
- Payment Date: Filter payments by the upcoming payment date. You can choose to view payments for the Next 7 days or 30,60, 90 days range.
- Retries Left: Filter by the number of retries left for a payment attempt. This helps identify payments that are nearing their final retry attempts.
- Last Payment Status: Choose to filter based on the last payment status (e.g., Failed, Success).
- Risk Level: Select from various risk levels such as Low, Medium, or High to focus on payments with higher failure potential.
- Payment Method Status: Filter payments by the payment method status. Options include Expired, Expiring soon, Valid, or Expired.
Insights:
- Proactively Monitor Payments: Use this section to keep track of payments that are at risk of failing based on factors like payment method status and retries left.
- Preemptive Action: By monitoring upcoming payments and their associated risk levels, you can take proactive steps to mitigate potential payment failures, ensuring higher success rates.
Key Takeaways
- Monitor Payment Performance: Regularly track payment success, failure, and recovery metrics to ensure that your subscription payment flow is running smoothly.
- Optimize Recovery Strategies: Leverage retry attempts, backup payments, and failure reason analysis to enhance your payment recovery and reduce revenue loss.
- Proactively Address Payment Failures: Use failure reason insights and upcoming payment data to minimize payment issues and reduce churn.
- Refine Payment Methods and Providers: Analyze payment source distributions by country and provider to optimize your payment strategies and improve payment success rates.
By understanding these metrics, you can make more informed decisions to reduce payment failures, enhance recovery efforts, and ultimately improve your subscription revenue.
Related articles
Here are some related articles that may offer additional insight and context.
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Loop Subscriptions Team 🙂
Updated on: 01/10/2025
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