TryEcommerceTools

Shopify Clothing Stores

23 clothing and apparel stores running on Shopify, ranked by estimated monthly visits. The catalogue and price figures are read live from each storefront, and the traffic figures come from an outside panel, so the ranking reflects what these shops are doing now, not how famous they are.

Clothing stores on Shopify, ranked by monthly traffic

Visits are an estimate of how many times people opened the store in a month. An estimate is not a sales figure, but across clothing stores it is the fairest single yardstick we have, because it does not care whether a shop sells ten dollar basics or four hundred dollar coats.

RankStoreMonthly visitsProductsAverage pricePrice range
#139.8M1,000+At least this many--
#223.7M9,334$39.46$4-$176From a sample
#311.5M---
#48.1M2,668--
#55.2M709--
#65.1M---
#7
bombas.com
4.8M---
#84.2M1,632+At least this many$76$11-$270From a sample
#93.7M1--
#103.2M35,141$291.74$19-$8,500From a sample
#113.0M10,139$27.83$2.4-$108From a sample
#122.5M23,603--
#132.0M6,518$63.06$4.79-$179.99From a sample
#14
hellomolly.com
1.6M---
#151.5M2,239--
#161.1M---
#17955.4K291$82.22$3-$160
#18833.1K1,266+At least this many$122.8$10-$1,248From a sample
#19601.2K1,356--
#20293.3K71--
#21292.6K1,097$43.37$7.2-$82From a sample
#22109.3K1,282$33.87$9-$65From a sample
#231.1K1,416--

A dash means the store did not let us read that field, usually because an anti-bot wall sits in front of the storefront. Traffic comes from an outside panel, so the ranking is unaffected.

Data read from each storefront on 2026-08-13. Visits are the panel estimate for the most recent month.

The spread is the first thing worth noticing. The stores at the top of this table get more visits in a day than the ones at the bottom get in a month, and all of them run on the same platform paying roughly the same fees. Shopify is not what separates them.

The price bands tell you which game each store is playing. A tight band in the double digits is fast fashion or basics, living on volume and repeat orders. A band that stretches into the hundreds is a brand betting on fewer, bigger baskets. Both shapes appear in this table at every traffic level, which is the clearest sign that neither one is the wrong answer.

Catalogue size splits the same way. Some of the busiest stores here publish a few hundred products and rotate them hard, while others carry thousands and let search traffic find the long tail. If you run a clothing store yourself, the useful move is to find the two or three stores in this table closest to your own shape and open their storefronts, not to copy whoever is ranked first.

How this list is built

The stores are a curated list of clothing and apparel brands known to run on Shopify. It is not every clothing store on the platform, and it does not pretend to be: each one here was checked and is refreshed from its own storefront.

Catalogue size comes from the product sitemap the store publishes, and prices come from the products themselves. Neither needs the shop to cooperate and neither is an estimate. Monthly visits come from an outside traffic panel and are an estimate, which is why they are labelled as one. Prices in another currency are converted to US dollars at the exchange rate on the day the data was read.

A store on the list that we cannot currently read is left out of the table rather than shown as a row of empty cells. When its data lands, it appears.