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Card Brand Analysis Compared

Upload Stripe payments data, compare card brands on volume, fees, and success rates. Free.

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Running card brand payment analysis analysis...

Running card brand payment analysis analysis...

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Sample Output

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How it works

Compares 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

ecommercesaasfintechpayments

What data do you need?

Stripe payment charges export

card_brand (categorical) txn_amount (numeric) txn_fee (numeric) txn_status (categorical) card_country (categorical)
Visa 49.99 1.75 succeeded US
Mastercard 125.00 3.93 succeeded GB
Amex 32.50 1.24 failed CA

Minimum 50 rows · Best with 500-50000 transactions

What's in the report?

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.

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Transaction Volume by Brand

Transaction count per card brand. Visa typically dominates. If Amex is unusually high, you may have a premium customer base.

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Transaction Amounts by Brand

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.

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Success Rates by Brand

Success/failure rate per brand. If one brand has significantly lower success rates, check for 3DS authentication issues or regional blocks.

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Processing Fees by Brand

Average processing fee per brand as a percentage. Amex is typically highest. If fees are eating margin on one brand, consider surcharging or steering.

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Geographic Distribution

Card brand distribution by country. International transactions often have different brand mixes and higher fees.

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Brand Summary

Comprehensive card brand comparison table

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AI Insights

Plain-English interpretation — what the numbers mean, what's significant, and what to do next.

Related tools

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

Questions?

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.

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