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Selling worldwide.
Speaking one language.
We read hundreds of storefronts the way an AI shopping assistant would. In July, just under a third served more than one language, and English still ran all but a rounding error of the shelves. Fewer than four in ten even told a machine which currency they price in.
01 Global reach speaking the customer's language
English runs the shelves. Everything else is a rounding error.
How many languages and store currencies the monitored brands actually operate in, read straight from the storefront. languages n = 841 · currency detected for 360
Read this as an AI-readiness signal, not market share. Sites that localize price by region often expose only their base currency, so the euro is undercounted here. Currencies under 10 brands are suppressed for anonymity.
The takeaway: reach is a presentation problem, not an ambition problem. Just over two-thirds of stores still speak a single language to the world, and nearly two-thirds never state their currency in structured data. AI that cannot read your language or your price cannot recommend you.
02 Assortment catalogs never sit still
In one month, the shelves moved, and mostly outward.
Every product added and pulled across monitored stores in July, measured only over brands that actually changed each area. 89 brands changed catalog size
median +1 · across 89 brands
across 53 brands that added one
before removals · across 89 brands
Add more than two products for every one pulled and you get the shape of July: a market expanding its shelves and quietly editing what did not sell. The stores standing still are the ones falling behind.
03 Assortment shape what the racks hold
The shape of the racks.
Share of tagged brands that sell each category. A brand counts once no matter how many such products it lists. % of 325 tagged brands
Tops lead every rack. Womenswear anchors the market, but a majority of brands now also cut for men and for no gender at all.
· How this is built why you can trust the numbers
Not a survey. A month of continuous, public-signal monitoring.
Hundreds of brands, all month
Aggregated from continuous monitoring of hundreds of ecommerce brands throughout July 2026, not a one-time snapshot.
Every figure shows its n
A brand is counted only for subjects it had measurable data for. No data for a metric means excluded, never counted as a zero.
Public information only
Compiled from publicly available information across dozens of sources. No private, gated, personal, or account-restricted data.
100% anonymized
Figures are aggregated across the market. No individual brand is named, shown, or identifiable anywhere in the report.
→ Your move
You just saw three cuts of the July market. Where does your store sit?
This is a teaser. The full July Radar runs 7 sections and 50+ signals: the discount curve, the capabilities brands switched on, the new-store launch data, and a full AI readiness scorecard. See exactly where your store lands against all of it.
Based on RivalSweeper's continuous monitoring of hundreds of ecommerce brands throughout July 2026. Figures are aggregated across the market; no individual brand is named or identifiable. Every metric reports its own sample size. Discount and promotion figures are point-in-time estimates that may be revised. All figures are provided "as is" for informational purposes only, and are not financial, legal, or investment advice. This report includes AI-assisted analysis. Spotted something off? Tell us at [email protected]. Copyright © 2026 RivalSweeper. All rights reserved.