How Deploi Shopify Data works: sources, tiers and corrections
How a number gets onto these pages, how sources are ranked, how figures are checked and how corrections are made. Updated October 13, 2026.
By Martin DejnickiUpdated
Short answer
Every number on Deploi Shopify Data is read from a primary source: Shopify's SEC filings, releases and price pages, or open measurement such as HTTP Archive. Each value is stored with its exact quote, link and date read. A script re-checks every quote, headline figures are extracted twice, and corrections are logged with a date.
How are sources ranked?
Sources fall into four tiers. Tier A is primary: SEC filings and Shopify's own pages. Tier B is open measurement with a published method, such as W3Techs and the HTTP Archive. Tier C is commercial measurement, used only with written permission. Tier D is a commissioned study, always labeled with its producer and sponsor.
| Tier | What it covers | Use here |
|---|---|---|
| A | Primary: SEC filings and Shopify's own pages | 117 sources, every Shopify figure |
| B | Open measurement with a published method | 12 sources, site adoption data |
| C | Commercial measurement | Not used without written permission |
| D | Commissioned studies | Not used; would carry producer and sponsor |
Aggregators, such as statistics roundups, are used only to find the original source. They are never cited.
How is each number checked?
Each number is read from the primary document and stored with its exact quote or table row, its link and the date read. A script re-finds every quote in the saved source and recomputes every derived value. Headline figures are extracted a second time by an independent reader, and the two must agree before publication.
- Quote check and second reading. A script re-finds every stored quote in the saved source. Headline figures are read a second time by an independent reader, and any difference is resolved against the primary document.
- Exact quotes. The dataset page lists every value with its source, the place in the source and the date read.
- Recomputation. Stated percentages are recomputed from stated levels. Computed columns show the formula for every value.
- Restatements. When Shopify restates a figure, the dataset keeps the latest value and the first one, and names the document that changed it.
What do the terms mean?
GMV is the total value of orders on Shopify's platform, not Shopify's revenue. Revenue is what Shopify earns from subscriptions, payments and other services. Merchants, stores and websites are three different counts. MRR is monthly subscription plan fees and excludes variable platform fees. Revenue by region follows the merchant's location.
- GMV (gross merchandise volume) is the value of orders processed on the platform. It is not revenue and not merchants' net sales.
- Revenue is Shopify's total revenue: Subscription Solutions (plans, variable platform fees, apps, themes, domains) plus Merchant Solutions (payments and other merchant services).
- Merchants, stores, websites. A merchant is the business Shopify counts in its filings. A store is one storefront. A website is one domain a crawler detects. One merchant can run several stores.
- MRR (monthly recurring revenue) is the subscription plan fees in force on the last day of the period. It excludes variable platform fees and is not revenue.
- Revenue by region is assigned by where the merchant is located, not where the buyer is.
- Black Friday-Cyber Monday figures are approximate and unaudited, in Shopify's words. Windows and definitions change by year, so years are not directly comparable.
How often is the data updated?
Each dataset shows its last update and next review date. Black Friday-Cyber Monday figures are added after each weekend (next review December 2, 2026). Annual figures are added after Shopify's fourth-quarter report (next review February 11, 2027). Pricing and site-tier data are re-read every three months (next review January 13, 2027).
| Dataset | Last updated | Next review |
|---|---|---|
| Shopify Black Friday-Cyber Monday sales by year | October 13, 2026 | December 2, 2026 |
| Shopify annual metrics, fiscal years 2015 to 2025 | October 13, 2026 | February 11, 2027 |
| Shopify Plus share of monthly recurring revenue | October 13, 2026 | November 3, 2026 |
| Shopify merchant counts at year-end, 2012 to 2025 | October 13, 2026 | February 11, 2027 |
| Shopify revenue and merchants by region | October 13, 2026 | February 11, 2027 |
| Shopify's stated share of US ecommerce | October 13, 2026 | February 11, 2027 |
| Shopify plan prices and payment fees, US and Canada | October 13, 2026 | January 13, 2027 |
| Shopify adoption by site popularity tier | October 13, 2026 | January 13, 2027 |
A review that finds no change still updates the date. Any change is recorded in the dataset's change log.
How are corrections handled?
Deploi corrects an error in the dataset, records the change with its date in the dataset's change log, and states the correction on every page it affects. A published value is never edited silently. To report an error, write to contact@deploi.ca or use the contact page at deploi.ca/contact.
Include the page, the value and the document that shows the difference. Deploi checks the primary document, then publishes the fix or explains why the value stands. Every change appears in the Changes section of the page it touches.
Can I reuse the charts and data?
Yes. The charts, text and Deploi's compilation are licensed CC BY 4.0, so you can copy, share and adapt them with credit to Deploi and a link to the page. The underlying facts belong to their sources, and every page names them. Third-party sources keep their own terms.
The license is Creative Commons Attribution 4.0. Credit a chart as "Source: Deploi" with the chart title and a link to its page. Also name the primary source in the chart's source line. The data pages quote figures with their dates and links and do not copy third-party databases.
How do I cite a chart or dataset?
Cite the page that carries the chart or dataset. Every page has a Cite and reuse section with an APA citation, a BibTeX entry and, for charts, an embed snippet. An APA citation reads: Deploi. (2026). Shopify Black Friday-Cyber Monday sales by year (Version 1) [Data set]. Retrieved October 13, 2026.
Each dataset has a stable address, a version number and a CSV download. When a dataset changes, the version and the change log change with it, so a citation points to a state of the data.
Who is behind Deploi Shopify Data?
Martin Dejnicki writes and checks every page. Deploi is a Toronto-based web development agency and is not affiliated with Shopify. Deploi built this section to publish Shopify numbers that other pages quote loosely, each one traced to its source. Questions, corrections and data requests go to contact@deploi.ca.
Contact Deploi at contact@deploi.ca or through deploi.ca/contact. Deploi is not affiliated with Shopify. Shopify did not review or sponsor these pages.
Cite and reuse
Deploi's charts and compilation are licensed CC BY 4.0. The underlying facts belong to their sources, which are named on every page.
APA
Deploi. (2026). How Deploi Shopify Data works: sources, tiers and corrections [Web page]. https://deploi.ca/shopify/data/methodology Retrieved October 13, 2026.
BibTeX
@misc{deploi_methodology_2026,
author = {{Deploi}},
title = {How Deploi Shopify Data works: sources, tiers and corrections},
year = {2026},
url = {https://deploi.ca/shopify/data/methodology},
note = {Accessed 2026-10-13}
}