E-commerce Statistics - Best For Ecommerce

A curated hub of e-commerce statistics and benchmarks designed for researchers, publishers, and e-commerce teams. Each dataset page focuses on one metric with a clear definition and primary sources. Start with Methodology (definitions + how metrics are standardized), then use the dataset pages below to cite specific numbers in articles, reports, or research. Start here The most referenced metrics across e-commerce reports. These are the best first pages to publish. Conversion rate (CR) benchmarks Benchmark ranges and splits (device/industry) with consistent CR definition. Cart abandonment rate One-number benchmark plus the most common reasons shoppers abandon carts. Average order value (AOV) benchmarks AOV benchmark ranges to add revenue context beyond conversion rate. Mobile share of traffic How much traffic comes from mobile vs desktop—useful for device CR comparisons. Mobile share of revenue How much revenue is driven by mobile purchases—pairs with device conversion rates. Payment methods share Payment method mix benchmarks (cards, transfers, wallets, local methods). BLIK share in Poland Poland-specific payment behavior benchmark (useful in local market analyses). Return rate benchmarks Return rate benchmarks and common variation drivers across categories. Delivery methods share Delivery preference mix (parcel lockers vs courier etc.) used in logistics reporting. Global e-commerce market size Market size and growth trendline for global e-commerce reporting. E-commerce share of retail Penetration benchmark: online share of total retail sales over time. Browse by topic (silos) Each silo groups related dataset pages so you can cite the right metric quickly. Conversion funnel benchmarks Conversion rate, cart abandonment, AOV, and other funnel metrics. Market size & growth Market size, growth rates, and e-commerce penetration benchmarks. Mobile, UX & tech Mobile traffic/revenue share, UX and performance-related benchmarks. Payments & risk Payment method mix, local methods, fraud and payment failure benchmarks. Delivery, logistics & returns Delivery mix, delivery expectations, and return rate benchmarks. Traffic & marketing performance Channel mix, SEO share, ROAS/MER, email/SMS benchmarks. Ads, attribution & measurement Attribution models, incrementality, CAC, and LTV:CAC ratios. Customer metrics & retention Repeat purchase, churn, loyalty and customer experience benchmarks. Categories & demand Category mix, demand trends, and category-level benchmarks. Pricing, margins & cross-border Margins, discounts, elasticity, cross-border share, marketplaces. Reference pages Shared definitions and source lists used across dataset pages. Methodology Sources Glossary FAQ How should I cite your data? Cite the specific dataset page (not only the hub). Dataset pages include the metric definition and primary sources. Why do benchmarks differ between sources? Differences typically come from definitions (sessions vs users), sampling (industry mix), and time ranges. See Methodology for how definitions are standardized.