
Shopify Tech Stack by Growth Stage: What 120,017 Stores Install at Every Traffic Tier
We mapped 120,017 Shopify stores to 5 growth stages and tracked which apps, themes, and pixels they adopt at each level. Original data, no recycled stats.
Find any Shopify store's best sellers in 5 seconds using the URL hack. Plus: how Shopify actually calculates best-selling (it's not what you think).

TL;DR: Add ?sort_by=best-selling to any Shopify store's collection URL to see their top products. Example: store.com/collections/all?sort_by=best-selling. But here's what nobody tells you: Shopify ranks by order count, not units sold. A product in 10 orders beats a product with 20 units in 2 orders.
Want to see what products are selling best on any Shopify store? It takes 5 seconds.
Every Shopify store has a built-in feature that shows best sellers. It's meant for customers, but anyone can use it. Competitors, researchers, agencies. There's no way to turn it off.
This guide shows you how to find best sellers on any store, explains how Shopify's ranking actually works (most guides get this wrong), and covers what to do with the data once you have it.
Best seller data isn't just for copying products. Here's what different people use it for:
| Use Case | Who | What You Learn |
|---|---|---|
| Product research | Dropshippers, store owners | What's proven to sell in a niche |
| Competitor analysis | Store owners, agencies | What's working for competitors |
| Lead qualification | Agencies, SaaS vendors | How mature and focused a store is |
| Niche validation | New sellers | Whether a market has demand |
| Partnership research | App developers | What products top stores sell |
The real value: Best sellers show you what customers actually buy. Not what stores want to sell. Not what looks good. What converts.
Before you start researching, you need to understand how Shopify ranks products. Most guides skip this. But it changes how you interpret the data.
Shopify's best-selling algorithm ranks products by how many orders include that product. Not how many units were sold.
Here's the difference:
| Product | Units Sold | Orders | Best Seller Rank |
|---|---|---|---|
| T-Shirt A | 5 | 5 (one per order) | Higher |
| T-Shirt B | 10 | 2 (five per order) | Lower |
T-Shirt A ranks higher even though T-Shirt B sold more units. Why? Because T-Shirt A appeared in more orders.
What this means for research:
Shopify's default best-selling sort uses all-time order data. There's no recency factor.
This creates a problem: older products that have been around longer will almost always outrank newer products. Even if a new product is selling faster right now.
Example: A store's best seller from 2022 with 500 lifetime orders will rank above a 2025 product with 100 orders this month.
What this means for research:
Some stores use apps like Rank King to show recent best sellers (last 7 or 30 days) instead of all-time. But the default URL method shows all-time data.
This is the fastest way to see any Shopify store's best sellers.
Add ?sort_by=best-selling to any collection URL.
Step by step:
/collections/all for all products)?sort_by=best-selling to the end of the URLExample:
Before: https://gymshark.com/collections/all
After: https://gymshark.com/collections/all?sort_by=best-selling
The page reloads with products sorted by best-selling first.
The URL hack works on any collection, not just "all products":
| Collection URL | What You'll See |
|---|---|
/collections/all?sort_by=best-selling | Best sellers across entire store |
/collections/t-shirts?sort_by=best-selling | Best selling t-shirts |
/collections/new-arrivals?sort_by=best-selling | Best sellers among new products |
/collections/sale?sort_by=best-selling | Best selling sale items |
Best-selling is just one option. Here are all 8 sort parameters you can use (these are part of Shopify's Liquid collection filters):
| Parameter | What It Does |
|---|---|
?sort_by=best-selling | Most orders first |
?sort_by=price-ascending | Cheapest first |
?sort_by=price-descending | Most expensive first |
?sort_by=created-ascending | Oldest first |
?sort_by=created-descending | Newest first |
?sort_by=title-ascending | A to Z |
?sort_by=title-descending | Z to A |
?sort_by=manual | Store's custom order |
Pro tip: Use ?sort_by=created-descending to see a store's newest products. Good for tracking what competitors are testing.
The URL method fails in a few cases:
| Problem | Why | Workaround |
|---|---|---|
| Store uses custom filtering | JavaScript overrides URL | Try different collections |
| Password-protected store | Can't access without login | None |
| Very few products | No meaningful ranking | Check related stores |
| Headless/custom storefront | Not standard Shopify | None |
Most Shopify stores (90%+) work with the URL hack. If one store doesn't work, move on. There are millions of others.
Extensions scan stores automatically so you don't have to edit URLs manually.
Store Inspector is a free Chrome extension that detects apps, themes, and pixels on any Shopify store.
What you get:
While it doesn't show best sellers directly, it gives you context about the store. A store's apps tell you as much about their strategy as their products do.
Koala Inspector shows best sellers directly in their interface. The free version shows the top 3 products. Paid plans show more.
SimplyTrends tracks product sales over time. Useful for seeing how fast products sell, not just rank.
If you're researching dozens of stores, manual methods don't scale. Spy tools automate the process.
| Tool | What It Does | Price |
|---|---|---|
| PPSPY | Best sellers + sales estimates | $29+/mo |
| Niche Scraper | Product research + store database | $49+/mo |
| Sell The Trend | AI-powered product finding | $40+/mo |
| FindNiche | Shopify store database | Free tier available |
When to use spy tools:
When to skip them:
Here's where most guides stop. They show you how to find best sellers but not what to do with the data.
Best seller data tells you a lot about a store's maturity, strategy, and opportunities.
How many products make up the bulk of sales?
| Pattern | What It Means |
|---|---|
| 1-2 dominant best sellers | "Hero product" strategy, focused brand |
| 5-10 spread across categories | Diverse catalog, multiple customer types |
| No clear best sellers | Either new store or weak product-market fit |
For agencies: Stores with 1-2 hero products and no email app are leaving money on the table. Their entire business depends on a few products, but they're not building customer relationships. Easy pitch.
What price range dominates best sellers?
| Best Seller Price | What It Suggests |
|---|---|
| Under $30 | Impulse buys, volume-focused |
| $30-100 | Considered purchases, good margins |
| $100+ | Premium positioning, longer sales cycle |
Best sellers reveal what customers actually want:
| Pattern | Insight |
|---|---|
| Bundles in top 5 | Customers want deals, AOV focus works |
| Subscriptions missing | Recurring revenue opportunity |
| Accessories rank high | Good for cross-sell strategy |
| One color/variant dominates | Simplify inventory, double down |
For agencies and SaaS vendors, best seller data helps qualify leads before outreach.
We analyzed 4,898 Shopify stores. Here's what we found about product counts:
| Traffic Tier | Avg Products | Top Stores |
|---|---|---|
| Under 10k | 50-200 | Focused catalogs |
| 10k-50k | 100-500 | Growing selection |
| 50k-200k | 200-1,000 | Diverse offerings |
| 500k+ | 500-5,000+ | Full catalogs or marketplaces |
What to look for:
The most qualified leads have gaps you can fill.
| Best Seller Pattern | Missing App | Opportunity |
|---|---|---|
| Consumable products in top 5 | No subscription app | ReCharge pitch |
| High AOV items | No upsell app | Rebuy pitch |
| Lots of reviews on best sellers | No UGC collection | Yotpo pitch |
| Best sellers change seasonally | No email flows | Klaviyo pitch |
Use Store Inspector to see what apps a store uses. Combine that with best seller data for a complete picture.
Let's be real about what this data can and can't tell you.
| Missing | Why It Matters |
|---|---|
| Actual sales numbers | Rankings, not revenue |
| Profit margins | Best seller might be low margin |
| Return rates | Popular doesn't mean profitable |
| Ad spend | Could be best seller because of paid traffic |
| Recent trends | All-time data, not current velocity |
Is using this data ethical? Here's a simple framework:
| ✅ Ethical | ❌ Questionable |
|---|---|
| Market research for your own store | Obsessively tracking one competitor |
| Understanding what customers want | Copying products exactly |
| Validating niche demand | Scraping at scale without purpose |
| Qualifying leads for services | Misrepresenting how you got insights |
The URL hack uses publicly available data. It's no different from visiting a store as a customer. Just be reasonable about it.
How does Shopify calculate best-selling?
By order count, not units sold. A product that appears in 100 orders ranks higher than one with 200 units sold in 50 orders. The ranking uses all-time data, not recent sales.
Can stores hide their best sellers?
Not really. Some stores use custom JavaScript filtering that can break the URL hack, but they can't disable the underlying sort. Switching collections or using an extension usually works.
How often does the best seller ranking update?
Shopify doesn't publish this, but testing suggests daily or near-real-time updates. Don't expect hourly precision.
Does this work on all Shopify stores?
About 90% of stores. It won't work on password-protected stores, some headless setups, or heavily customized storefronts.
What's the difference between best-selling and featured?
Best-selling is based on actual order data. Featured (or "manual" sort) is whatever the store owner decides to highlight. Featured is marketing. Best-selling is performance.
Can I see best sellers for a specific time period?
Not with the URL hack. Shopify's default is all-time. Some spy tools offer time-filtered data, and stores can use apps to display recent best sellers to their customers.
Is it legal to view competitor best sellers?
Yes. You're accessing publicly available information that Shopify exposes to every visitor. Just don't misrepresent yourself or violate terms of service.
Finding best sellers on any Shopify store takes 5 seconds:
store.com/collections/all?sort_by=best-selling
But knowing what to do with that data is what matters.
Key takeaways:
| Insight | Why It Matters |
|---|---|
| Shopify ranks by order count, not units | Interpret rankings correctly |
| Data is all-time, not recent | Old products dominate |
| Best sellers reveal strategy | Hero products vs. diverse catalog |
| Combine with app data | Full picture for lead qualification |
| Use ethically | Research is fine, obsession isn't |
The complete sort parameter reference:
| Sort | Parameter |
|---|---|
| Best selling | ?sort_by=best-selling |
| Price: low to high | ?sort_by=price-ascending |
| Price: high to low | ?sort_by=price-descending |
| Date: old to new | ?sort_by=created-ascending |
| Date: new to old | ?sort_by=created-descending |
| Title: A-Z | ?sort_by=title-ascending |
| Title: Z-A | ?sort_by=title-descending |
| Manual | ?sort_by=manual |
Want to go deeper on competitor research?
For individual store analysis: Install the free Store Inspector Chrome extension. See apps, pixels, themes, and traffic tier on any Shopify store.
For bulk research with contact data: StoreInspect lets you filter 8,900+ stores by apps, traffic, and category. Export with verified founder emails.
Get Store Inspector Free → | Browse Top Stores →
Related guides:
Search by niche, traffic, and tech stack. Export with verified emails.


We mapped 120,017 Shopify stores to 5 growth stages and tracked which apps, themes, and pixels they adopt at each level. Original data, no recycled stats.
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