Get up to $6,000 in TikTok Ad CreditsClaim Credits
Koala Apps

Introducing the Shopify Niche Index: Weekly Rankings of Stores, Apps and Best Sellers

Assaf ShalinBy October 12, 2026
Introducing the Shopify Niche Index: Weekly Rankings of Stores, Apps and Best Sellers

Today we are opening up a slice of the data behind Koala Inspector as a free public resource: the Shopify Niche Index. It ranks the biggest Shopify stores in 21 niches, the apps those stores run and the products they sell most, and it rebuilds itself every Monday.

Most store research starts with a niche question. Who are the biggest stores selling what I sell? What apps do they all run? What is actually selling in my category this month? Answering those used to mean opening dozens of stores one by one. Koala already studies hundreds of thousands of Shopify stores, so we turned the answers into lists anyone can read.

Updated October 12, 2026. Part of the Shopify Niche Index, refreshed every Monday from Koala's own store data.

What is in the index

Every niche gets a store ranking, and the larger niches also get app and best-seller lists. All of them refresh weekly:

From the second week on, every list shows what is new and what moved, so the index becomes a weekly record of which stores and products are gaining ground.

The first finding: every niche has a signature app

Alongside the lists we are publishing a live data study, the signature app of every Shopify niche. It finds, for 80+ niches, the app most over-represented compared with Shopify as a whole. This week's strongest signatures:

  • Games stores are 139x as likely as the average Shopify store to run Board Game Atlas Listings (5.2% of them, against 0% of all stores).
  • Cannabis Products stores are 136x as likely as the average Shopify store to run AgeChecker.Net ‑ Age Verifier (2.7% of them, against 0% of all stores).
  • Tobacco Products stores are 128x as likely as the average Shopify store to run AgeChecker.Net ‑ Age Verifier (2.5% of them, against 0% of all stores).
  • Music & Sound Recordings stores are 108x as likely as the average Shopify store to run Single: musicians & creators (13% of them, against 0.1% of all stores).
  • Lighting stores are 58x as likely as the average Shopify store to run Sign Customiser ‑ SF (2% of them, against 0% of all stores).
  • Digital Goods & Currency stores are 47x as likely as the average Shopify store to run Digital Downloads ‑ Fileflare (3.6% of them, against 0.1% of all stores).
  • Business Services stores are 40x as likely as the average Shopify store to run Gang Sheeter (3.9% of them, against 0.1% of all stores).
  • Vehicle Parts & Accessories stores are 37x as likely as the average Shopify store to run Year Make Model ‑ EasySearch (3.5% of them, against 0.1% of all stores).

The pattern is practical. Most signature apps solve the one problem a niche cannot sell without, like an age check for drinks or a year, make and model search for car parts.

How we build it

How this list is built

Visits are estimated monthly visits for the latest month we have for each store.

Koala models every store's numbers from public signals any visitor's browser can already see, sampled over time, never from a store's private dashboard. Stores are grouped into niches by what they sell, using Shopify's own product categories, and a store can sit in up to three niches. Every figure is an estimate meant for comparing stores, so the ranking is more reliable than any single number.

Go deeper on any store

The index shows the leaders. Koala Inspector shows you everything about any store you open: its apps and theme, its full catalog with likely best sellers, and, with tokens, its traffic sources, its ads and what it changes over time.

Want to see the data behind any store in the index on any Shopify store?

Download for free and start exploring a whole new ecommerce world!

Assaf Shalin

Written by

Co-founder & Developer, Koala Apps

Assaf Shalin is a co-founder of Koala Apps and one of the developers behind Koala Inspector. He builds the tools that let Shopify sellers see what is actually working in other stores, from installed apps and themes to best-selling products. On the blog he covers the technical side of store research: how competitor research really works, what public store signals can and cannot tell you, and how to turn them into decisions.

Connect on LinkedIn

Share this story:

Recommended Blogs