Payments and risk benchmarks explain how shoppers pay online, which payment methods dominate in different markets, and how payment friction affects conversion.
This silo groups payment method share, local payment examples, digital wallets, cards, bank transfers, cash on delivery, BNPL, payment failures, chargebacks, and fraud benchmarks used in e-commerce research and reporting.
Back to the main hub:
E-commerce Statistics.
For definitions and comparison rules, start with
Methodology.
If you need the core payment benchmark set first, use
payment methods share
and BLIK share in Poland.
Core payments and risk benchmarks
Start with these datasets when you need to explain payment method mix, local payment behavior, and checkout friction.
Payment Methods Share
Global and market-level payment method mix benchmarks across wallets, cards, bank transfers, cash, BNPL, and local methods.
BLIK Share in Poland
Poland-specific benchmark for a high-signal local payment method used in e-commerce and mobile payments.
Payment Failure Rate Benchmarks
Benchmarks for failed, declined, or unsuccessful payments that can reduce checkout completion and revenue.
Payment method fit is a common driver of checkout friction. Pair this silo with
cart abandonment rate,
checkout abandonment rate,
and mobile checkout friction metrics.
Payments and risk dataset map
Use this table to choose the right payment or risk metric for checkout analysis, market reports, localization, payment optimization, or fraud research.
| Dataset | What it measures | Best used for |
|---|---|---|
| Payment Methods Share | How e-commerce payment volume or transactions are split across payment methods. | Checkout strategy, market localization, payment mix analysis, and payment method comparisons. |
| BLIK Share in Poland | The usage and scale of BLIK as a local payment method in Poland. | Polish e-commerce analysis, local payment method examples, and regional checkout research. |
| Digital Wallet Share | The share of e-commerce payments made through digital wallets. | Wallet adoption analysis, mobile checkout reporting, and regional payment method comparisons. |
| Credit Card Share | The share of e-commerce payments made by credit card. | Card payment reporting, market comparisons, and checkout method benchmarking. |
| Debit Card Share | The share of e-commerce payments made by debit card. | Card mix analysis, consumer payment behavior, and local payment comparisons. |
| Bank Transfer Share | The share of e-commerce payments made by bank transfer or account-to-account methods. | Local payment behavior, account-based payment adoption, and market-specific checkout analysis. |
| Cash on Delivery Share | The share of e-commerce orders or payments handled through cash on delivery. | Emerging market analysis, trust and delivery behavior, and logistics-payment comparisons. |
| BNPL Share | The share of e-commerce payments made using buy now, pay later methods. | Consumer finance trends, checkout conversion research, AOV analysis, and payment method mix reporting. |
| Payment Failure Rate Benchmarks | How often attempted payments fail, decline, or do not complete successfully. | Checkout optimization, payment recovery, authorization analysis, and revenue leakage estimates. |
| Chargeback Rate Benchmarks | How often transactions lead to chargebacks or disputes. | Risk management, payment operations, fraud monitoring, and dispute prevention reporting. |
| Fraud Rate Benchmarks | The share or value of e-commerce transactions affected by fraud or suspected fraud. | Fraud prevention, risk scoring, chargeback reduction, and payment security analysis. |
What this silo covers
Payment benchmarks connect shopper preference, local market behavior, checkout conversion, and transaction risk.
Payment method mix
Payment share metrics show how shoppers split payments across wallets, cards, bank transfers, cash on delivery, BNPL, and local methods.
Local payment behavior
Local methods such as BLIK can explain why checkout expectations differ strongly between countries and regions.
Payment friction
Payment failures, missing preferred methods, poor mobile payment fit, and extra verification steps can affect checkout completion.
Risk and fraud
Fraud, chargebacks, payment failures, and disputes show the operational risk behind online payments and checkout decisions.
How to use payments and risk benchmarks
Use these checks before comparing payment method shares, failure rates, chargebacks, or fraud benchmarks across sources and markets.
-
Define what “share” means.
Payment method share can mean share of transaction value, share of transactions, share of orders, or share of online payment volume. Do not mix them. -
State the market and channel.
Payment mix can change sharply by country, device, category, age group, and whether the source covers retail e-commerce only or broader digital commerce. -
Separate global methods from local methods.
Wallets, cards, transfers, and BNPL should be read alongside country-specific payment methods that may dominate in local markets. -
Connect payment choice with conversion.
Missing preferred payment methods, failed payments, or mobile-unfriendly payment flows can contribute to cart and checkout abandonment. -
Read risk metrics with operational context.
Chargeback and fraud benchmarks depend on category, geography, fraud controls, payment method mix, and risk tolerance.
Reference pages:
Methodology •
Glossary •
Sources
Key definitions
Short definitions for the most important payment and risk terms used across this silo.
Payment method share is the percentage of e-commerce payment value, transactions, or orders handled by a specific payment method.
Digital wallet share is the share of e-commerce payments made through wallet-based payment methods.
BNPL share is the share of e-commerce payments made using buy now, pay later services.
Payment failure rate is the share of attempted payments that fail, decline, expire, or do not complete successfully.
Chargeback rate measures how often transactions are disputed and reversed through the payment system.
Fraud rate measures the share or value of transactions affected by confirmed or suspected fraud, depending on source definition.