Ramp Metric
Finance
Card Fraud Detection Rate = Fraudulent Transactions Caught Before Settlement / Total Fraudulent Transactions x 100
Card Fraud Detection Rate measures the share of fraudulent or unauthorised Ramp card transactions that are caught and blocked or flagged before they settle, rather than discovered after the fact. It draws on Ramp transaction data, including declined charges, locked cards, and disputes raised against virtual and physical cards. A high rate means Ramp controls and your finance review process are intercepting bad charges early.
Full guide: definition, formula, and benchmarksRampFinanceCard Fraud Detection Rate
Card Fraud Detection Rate measures the share of fraudulent or unauthorised Ramp card transactions that are caught and blocked or flagged before they settle, rather than discovered after the fact. It draws on Ramp transaction data, including declined charges, locked cards, and disputes raised against virtual and physical cards. A high rate means Ramp controls and your finance review process are intercepting bad charges early.
How to calculate card fraud detection rate
Why card fraud detection rate matters for Ramp users
Every fraudulent charge that settles on a Ramp card turns into a dispute, a chargeback, and time the finance team has to spend reconciling and recovering funds. Catching fraud before settlement keeps cash where it belongs and avoids the slow, manual cleanup that follows a charge that has already cleared.
Tracking this rate also tells you whether your Ramp controls are tuned correctly. If the rate is low, merchant locks, per-card limits, and category restrictions are not doing their job, and the team has a clear signal to tighten policy rather than absorb losses quietly.
Understand and act on card fraud detection rate with KPI Tree
Sync your Ramp transaction, card, and dispute data into your warehouse and compute Card Fraud Detection Rate in KPI Tree. Place it in a metric tree alongside related spend and control metrics so you can see how card activation, spend distribution, and average transaction value move together when fraud patterns shift.
Assign RACI ownership to the finance or controls lead so there is a clear owner for every flagged charge, and set a monthly review cadence in KPI Tree to inspect the rate, confirm controls are holding, and adjust card limits before the next cycle.
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Related Ramp metrics
Card Activation Rate
Expense ManagementMetric Definition
Card Activation Rate = (Cards with Transactions / Total Cards Issued) × 100
Card activation rate is the percentage of issued Ramp cards, both physical and virtual, that have been used for at least one transaction. It measures programme adoption and employee onboarding effectiveness.
Card Spend Distribution
Expense ManagementMetric Definition
Card spend distribution breaks down total card expenditure by card type - physical, virtual, and department-level cards - and by spending band. It reveals how concentration or fragmentation of spend across card instruments affects control and visibility.
Average Transaction Value
Expense ManagementMetric Definition
Average Transaction Value = Total Spend / Number of Transactions
Average transaction value measures the mean monetary amount per expense transaction processed through Ramp. It provides a baseline for identifying unusual spending patterns and understanding typical purchase behaviour.
Accounting Integration Accuracy
Expense ManagementMetric Definition
Accounting Integration Accuracy = (Correctly Synced Transactions / Total Synced Transactions) × 100
Accounting integration accuracy is the percentage of Ramp transactions that sync correctly to the general ledger without requiring manual adjustment. It reflects the reliability of automated category mappings, GL codes, and entity assignments between Ramp and the accounting system.
Explore card fraud detection rate across integrations
All Ramp metrics
Average Transaction ValueBudget Adherence RateBudget Utilisation RateCard Activation RateCategory Spend AnalysisCompliance Violation RateDepartment Spend AnalysisDuplicate Payment DetectionEmployee Reimbursement TimeExpense Approval Cycle TimeExpense Per EmployeeMaverick Spend RateMerchant Concentration AnalysisBurn RateOut-of-Policy Spend RatePayment Cycle TimeReceipt Compliance RateRecurring Spend AnalysisSavings Identification RateSpend by Vendor AnalysisSpend Forecast AccuracySubscription Waste DetectionT&E Spend RatioTotal Spend Under ManagementVirtual Card Adoption RateAccounting Integration AccuracyBill Payment Cycle TimeCard Spend DistributionExpense Fraud Detection RateReconciliation TimeSpend Anomaly DetectionVendor Consolidation SavingsBudget Variance AnalysisCard Utilization RateCash Flow Impact AnalysisCost Center Efficiency AnalysisDepartment Spending TrendsDuplicate Transaction Detection RateEmployee Spending Behavior AnalysisExpense Categorization AccuracyLocation Based Spend AnalysisMonthly Spend VelocityPolicy Violation RateReimbursement Processing TimeSeasonal Spending PatternsSpend Category AnalysisSpend Program EffectivenessTransaction Volume Growth RateVendor Concentration RiskVendor Diversification IndexVendor Payment Terms AnalysisVendor Performance ScoringEmpower your team to understand and act on Ramp data
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