Sources (E-commerce Statistics)

This page is the master list of primary sources referenced across the E-commerce Statistics hub. Use it when you need original-report citations,
or when you want to verify the scope and definition behind a benchmark.

Back to the hub:
E-commerce Statistics.
For definitions and comparison rules, open:
Glossary
and Methodology.

Repo page: Sources
Type: primary + supporting

Market size & growth

Forecasts, market sizing, and penetration metrics used in global reporting.

  • EMARKETER: worldwide retail e-commerce forecasts and share-of-retail charts.
  • Shopify (research summaries): compiled global sales and forecast tables citing primary research publishers.
  • UNCTAD: scope distinction between retail online sales and broader business e-commerce measures.
  • Forrester (supporting forecasts): alternative forecast framing for range context.

Conversion funnel benchmarks

Benchmarks for abandonment and related funnel narratives.

  • Baymard Institute: cart abandonment benchmark and reasons distributions.
  • Littledata: cross-store ecommerce benchmarks used as reference points for AOV and performance distributions.
  • Dynamic Yield: benchmark-style datasets for AOV/device usage where available.
  • IRP Commerce: ecommerce market data time series (AOV reference points).

Mobile, UX & tech

Device mix and mobile revenue/traffic benchmark sources.

  • Contentsquare: retail digital experience benchmarks (traffic and revenue shares, mobile signals).
  • Salesforce (Shopping Index summaries): retail ecommerce device split benchmark framing.
  • Dynamic Yield: device usage benchmark pages where available.

Payments & risk

Payment method share and local method sources.

  • Global Payments Report (Worldpay/FIS lineage): global payment mix and projections (wallets/cards/transfers).
  • BLIK (official): Poland-specific scale metrics and market statements.
  • EU Digital Finance Platform (supporting): third-party summary citations for local method estimates when applicable.
READ  Conversion Funnel Benchmarks (E-commerce Statistics)

Delivery, logistics & returns

Returns benchmarks, delivery preferences, and logistics reporting.

  • NRF: US returns landscape benchmarks (online vs overall).
  • Appriss Retail + Deloitte: returns reporting and trend metrics.
  • McKinsey (supporting): apparel returns reference points used in management reporting.
  • InPost investor materials (supporting citations): Poland delivery preference benchmarks (via cited research partners).
  • Sendcloud surveys: Europe out-of-home delivery preference signals.

How to use this sources list

A simple rule: cite the dataset page, and use the primary source when you need an original-report reference.

  1. Cite the dataset page for convenient “ready-to-use” benchmarks.
  2. Use the primary report if your publisher requires original-source citations.
  3. Include scope and year (retail vs total, online vs overall, value share vs transaction share).

Browse datasets:
E-commerce Statistics.

Jakub Szulc

I am an active Ecommerce Manager and Consultant in several Online Stores. I have a solid background in Online Marketing, Sales Techniques, Brand Developing, and Product Managing. All this was tested and verified in my own business activities

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