StripePaymentsCharge Success Rate
Charge success rate is the percentage of payment attempts that are successfully authorised and captured. It encompasses card network approvals, 3D Secure completions, and gateway processing outcomes.
Stripe metric
Charge Success Rate = (Successful Charges / Total Charge Attempts) × 100
Charge success rate is the percentage of payment attempts that are successfully authorised and captured. It encompasses card network approvals, 3D Secure completions, and gateway processing outcomes.
Full guide: definition, formula, and benchmarksHow to calculate Charge Success Rate
Charge Success Rate = (Successful Charges / Total Charge Attempts) × 100
Why Charge Success Rate matters for Stripe users
Every declined charge represents potential revenue lost. Even small improvements in success rate translate to meaningful revenue gains at scale, particularly for high-volume businesses.
Stripe users can analyse success rates by card brand, issuing bank, and country to implement targeted optimisation strategies such as network tokenisation or intelligent retry logic.
Driver
Conversion rate
Outcome · 58% contribution
Revenue
Understand and act on Charge Success Rate with KPI Tree
Sync Stripe charge event data to your warehouse and track success rates in KPI Tree. Build a payments health tree linking success rate to failed payment recovery and net revenue.
Assign payments engineering ownership and configure alerts when success rates dip below your baseline by card network or region.
Get started with your Stripe data
MCPPull metrics from Stripe directly through the Model Context Protocol.
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Related Stripe metrics Ready to add to your trees.
Failed Payment Recovery Rate
PaymentsRecovery Rate = (Recovered Payments / Total Failed Payments) × 100
Failed payment recovery rate measures the percentage of initially declined payments that are subsequently collected through retry attempts, card updates, or customer outreach. It quantifies revenue saved from potential loss.
View metricFraud Detection Rate
PaymentsFraud Detection Rate = (Blocked Fraudulent Transactions / Total Fraudulent Attempts) × 100
Fraud detection rate measures the percentage of fraudulent transactions correctly identified and blocked before processing. It reflects the effectiveness of fraud prevention rules and machine learning models.
View metricPayment Method Distribution
PaymentsPayment method distribution shows the share of transactions processed via each payment method, including cards, bank transfers, digital wallets, and local payment methods. It reveals customer payment preferences.
View metricGross Payment Volume
PaymentsGPV = Sum of All Successful Transaction Amounts
Gross payment volume (GPV) is the total monetary value of all transactions processed through Stripe before deducting fees, refunds, and chargebacks. It represents the overall scale of payment activity.
View metricExplore Charge Success Rate across integrations
All Stripe metrics
Average Revenue Per TransactionChargeback RateCustomer Lifetime ValueDispute Resolution RateFailed Payment Recovery RateFraud Detection RateGross Payment VolumeMonthly Recurring RevenueNet RevenuePayment Method DistributionPayout Timing AnalysisRecurring vs One-Time RevenueRefund RateRevenue by CurrencyRevenue by ProductRevenue Growth RateRevenue Per CustomerSubscription Churn RateSubscription Growth RateSubscription Upgrade RateTransaction Fee AnalysisTransfer Volume AnalysisTrial Conversion RateVolume by Payment MethodCard Decline RateCohort Revenue AnalysisCustomer Acquisition CostDispute RateGross Profit MarginRepeat Customer RateAverage Revenue Per UserCAC Payback PeriodChurn RateCohort AnalysisCoupon Effectiveness AnalysisCustomer Segmentation AnalysisFailed Payment AnalysisGross Revenue RetentionInvoluntary Churn RateNet Revenue RetentionPayment Method PerformancePayment Retry Success RatePayment Success RatePlan Migration AnalysisRevenue Cohort AnalysisRevenue Concentration AnalysisSeasonal Revenue PatternsSubscription Change AnalysisSubscription Renewal RateTime To First PaymentEmpower your team to understand and act on Stripe data
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