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, practical context, and source-based structure.
The hub covers classic e-commerce benchmarks such as conversion rate, cart abandonment, mobile traffic, payments, delivery and market size,
as well as newer pressure areas such as AI adoption, rising ad costs, CAC inflation, fulfillment costs, cross-border friction, profitability,
cash flow, failure rates, and online store survival.
Start with Methodology to understand how metrics are defined and standardized,
or browse the dataset pages below to cite specific e-commerce statistics in articles, reports, investor decks, strategy documents, and research.
Start here
Core e-commerce metrics and fast-growing benchmark areas that are commonly referenced in market research, performance analysis, and strategic reporting.
Conversion Rate Benchmarks
Benchmark ranges and splits by device, industry, and funnel context with a consistent conversion rate definition.
Cart Abandonment Rate
Cart abandonment benchmarks plus common reasons shoppers leave before completing a purchase.
Average Order Value Benchmarks
AOV benchmark ranges for adding revenue context beyond conversion rate and traffic volume.
AI Adoption in E-commerce
How retailers and commerce teams are adopting AI across content, support, personalization, fraud, forecasting, and operations.
Generative AI Traffic Share
How much e-commerce traffic comes from generative AI tools, answer engines, and AI-assisted product discovery.
E-commerce Ad Cost Benchmarks
Paid acquisition cost benchmarks for understanding marketing pressure, media inflation, and growth efficiency.
E-commerce CAC Inflation Benchmarks
Benchmarks for rising customer acquisition costs and their impact on LTV:CAC, payback, retention, and profitability.
Return Rate Benchmarks
Return rate benchmarks and common variation drivers across categories, regions, and product types.
E-commerce Profitability Benchmarks
Profitability benchmarks connecting revenue, margin, acquisition cost, fulfillment cost, cash flow, and operating pressure.
Online Store Survival Rate
Survival benchmarks showing how many online stores remain active, operational, or commercially viable over time.
Global E-commerce Market Size
Market size and growth trendline for global e-commerce reporting and market context.
E-commerce Share of Retail
Penetration benchmark showing online sales as a share of total retail sales over time.
E-commerce pressure, profitability and survival benchmarks
These datasets explain why e-commerce growth does not automatically mean easy growth for individual stores.
Use them when you need benchmarks about cost pressure, automation, paid media inflation, fulfillment, cross-border friction, cash flow, break-even time, and store survival.
AI Replacing E-commerce Jobs
Benchmarks and context for how AI affects e-commerce roles, workflows, team structures, and automation pressure.
AI Use in E-commerce Marketing
AI adoption in campaign creation, content, segmentation, performance marketing, and marketing operations.
E-commerce Ad Cost Benchmarks
Paid media cost benchmarks for understanding acquisition pressure and the rising cost of traffic.
E-commerce CAC Inflation Benchmarks
Rising customer acquisition cost benchmarks connected to LTV, retention, payback, and marketing efficiency.
Retail Media Ad Spend Growth
Retail media growth benchmarks for marketplace advertising, platform monetization, and channel mix analysis.
Fulfillment Cost Share of Revenue
Fulfillment cost benchmarks showing how logistics, picking, packing, storage, and delivery affect e-commerce margins.
Returns Cost Pressure Benchmarks
Benchmarks for the cost burden of returns, refunds, reverse logistics, and post-purchase margin pressure.
Cross-border Expansion Barriers
International expansion barriers including localization, shipping, customs, payments, returns, taxes, and checkout trust.
International Checkout Abandonment
Checkout abandonment benchmarks for cross-border purchases, local payment gaps, currency friction, and delivery uncertainty.
E-commerce Break-even Time Benchmarks
Time-to-break-even benchmarks for connecting growth, acquisition cost, margin, cash flow, and operating pressure.
E-commerce Cash Flow Pressure Benchmarks
Cash flow pressure benchmarks for understanding inventory, payment timing, marketing spend, fulfillment, and working capital.
E-commerce Failure Rate Benchmarks
Failure-rate reference points for understanding how many stores close, stall, or fail to reach sustainable performance.
AI commerce statistics
Datasets covering how AI is changing product discovery, shopping assistants, personalization, customer service,
content production, marketing, team automation, forecasting, fraud detection, and e-commerce performance.
AI Commerce Statistics Hub
Browse the full AI Commerce silo and related datasets in one place.
AI Adoption in E-commerce
Adoption benchmarks for AI use across e-commerce teams, platforms, and workflows.
Generative AI Traffic Share
Traffic and discovery share from generative AI tools, AI search, and answer engines.
AI Shopping Assistant Usage
How consumers use AI shopping assistants to compare products, find deals, and make buying decisions.
AI Product Recommendation Impact
Benchmarks for AI-driven recommendations and their impact on conversion, AOV, and revenue.
AI Personalization Benchmarks
Personalization benchmarks across product recommendations, content, merchandising, and customer journeys.
AI Chatbot Conversion Rate
Conversion benchmarks for AI chatbots, guided selling tools, and conversational commerce assistants.
AI Customer Service Adoption
Adoption of AI in support workflows, customer service automation, and post-purchase communication.
AI-generated Product Content
Benchmarks for AI-assisted product descriptions, images, translations, reviews, and content operations.
AI Inventory Forecasting Adoption
AI use in demand forecasting, stock planning, replenishment, and inventory optimization.
AI Fraud Detection in E-commerce
AI fraud detection benchmarks for payments, account abuse, chargebacks, and risk prevention.
AI Replacing E-commerce Jobs
How AI affects e-commerce jobs, team structures, task automation, and operational workflows.
AI Performance Marketing Adoption
AI adoption in campaign optimization, ad creative, bidding, targeting, testing, and paid growth workflows.
AI Customer Support Automation
Automation benchmarks for AI support agents, ticket deflection, chatbots, and post-purchase service workflows.
E-commerce Team Automation Benchmarks
Benchmarks for how AI and automation change team workload, task coverage, and operating efficiency.
Browse by topic
Each silo groups related dataset pages so you can cite the right metric quickly.
AI commerce statistics
AI adoption, generative AI traffic, shopping assistants, recommendations, personalization, chatbots, support automation, AI marketing, team automation, forecasting, and fraud detection.
Conversion funnel benchmarks
Conversion rate, cart abandonment, average order value, checkout behavior, sessions to purchase, time to purchase, and device-level funnel metrics.
Market size & growth
Market size, growth rates, retail penetration, marketplace share, online shoppers, failure rate, survival rate, and e-commerce market maturity.
Mobile, UX & tech
Mobile traffic, mobile revenue, desktop share, device conversion, page speed, UX friction, technology adoption, and performance-related benchmarks.
Payments & risk
Payment method mix, digital wallets, BLIK, payment failures, fraud, checkout risk, local payment methods, and payment-related conversion friction.
Delivery, logistics & returns
Delivery methods, return rate, fulfillment cost, delivery cost barriers, returns cost pressure, delivery trust, parcel lockers, courier delivery, and post-purchase friction.
Traffic & marketing performance
Traffic sources, organic search, paid media, ROAS, MER, ad costs, retail media, creator commerce, email, SMS, and marketing efficiency.
Ads, attribution & measurement
Attribution models, incrementality testing, view-through conversions, multi-touch attribution, cookie loss, and measurement benchmarks.
Customer metrics & retention
Repeat purchase, LTV, CAC, CAC inflation, LTV:CAC, churn, subscription revenue, retention economics, and customer profitability.
Categories & demand
Category mix, demand trends, vertical-level benchmarks, seasonality, product category performance, and category-level growth context.
Pricing, margins & cross-border
Margins, discounts, profitability, cash flow, break-even time, shipping costs, localization, multi-currency checkout, customs friction, and international expansion.
Reference pages
Shared definitions, methodology notes, and source lists used across dataset pages.
FAQ
How should I cite your e-commerce statistics?
Why do e-commerce benchmarks differ between sources?
See Methodology for how definitions are standardized.
Where should I start if I need AI commerce statistics?
generative AI traffic, AI shopping assistants, recommendations, personalization, chatbots, AI marketing, support automation, content automation, forecasting, and fraud detection.
Where should I start if I need e-commerce cost pressure benchmarks?
These pages help explain why a growing e-commerce market can still be difficult for individual stores.