Upload Stripe payments data, compare card brands on volume, fees, and success rates. Free.
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Running card brand payment analysis analysis...
Sent to — interactive charts, statistical results, R code, and AI insights.
Analyze another fileCompares payment performance across card brands — Visa, Mastercard, Amex, etc. Shows which brands have higher success rates, lower fees, and different geographic distributions.
Use this when you have Stripe payment data and want to understand card brand mix, failure rates, and fee impact.
If you need subscription churn analysis (not payment analysis), use Churn Prediction. If you need MRR tracking, use MRR Analysis.
Built for: Payments analyst, finance manager, e-commerce director
Typical data source: Stripe charges export with card brand, amount, fees, status, and country
Stripe payment charges export
Minimum 50 rows · Best with 500-50000 transactions
Analyzes Stripe payment data by card brand (Visa, Mastercard, Amex, etc.) to compare transaction volumes, success rates, processing fees, and geographic distribution. Identifies which card brands perform best and cost the most to process.
Transaction count per card brand. Visa typically dominates. If Amex is unusually high, you may have a premium customer base.
Average transaction size per brand. Amex holders typically spend more. If your Amex AOV isn't higher, your pricing may not be capturing premium willingness-to-pay.
Success/failure rate per brand. If one brand has significantly lower success rates, check for 3DS authentication issues or regional blocks.
Average processing fee per brand as a percentage. Amex is typically highest. If fees are eating margin on one brand, consider surcharging or steering.
Card brand distribution by country. International transactions often have different brand mixes and higher fees.
Comprehensive card brand comparison table
Plain-English interpretation — what the numbers mean, what's significant, and what to do next.
Need something simpler? Aov Analysis — Don't have payment-level data — just order totals
Need more power? Mrr Analysis — Need subscription revenue analysis, not payment analysis
Similar: Churn Prediction
See our FAQ for details on pricing, data privacy, and how the analysis works. Every report includes a Methodology section showing the statistical test, assumptions checked, and diagnostics run.
Run any analysis on your own data — 60+ validated R modules, interactive reports, AI insights, and PDF export.
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