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.
FAQ
How should I cite your data?
Why do benchmarks differ between sources?
Methodology for how definitions are standardized.