Shops Database Tutorial: 1.8M Shopify Stores, 17 Filters

Last verified July 15, 2026. Counts and prices checked inside a paid TrendTrack account.

The fastest way to find a proven Shopify store to model is not scrolling Google, TikTok or a Facebook group.

It is querying a database that already knows which stores are scaling, then filtering it down to the handful that match your niche. That database is TrendTrack’s Shops module, and this is how you drive it. It sits inside a wider suite, and how the platform works maps all of it.

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Search the database in four steps

You do not need to learn all 17 filters to get value on day one. The workflow is short: open the module, stack two or three filters, sort, and read the store that surfaces.

Step 1: open Shops

Inside TrendTrack’s Shops database, the module opens on a live grid of stores with a search bar reading “Search shops, keywords…”.

Above the grid sit six saved views: All Shops, Weekly Gems, Top Scaling, Market Leaders & DTC Brands, Shop’s Ad Peak and Shop’s Traffic Peak. They are shortcuts, not filters, so start on All Shops and narrow from there.

Step 2: stack the filters

Filters live in a rail beside the grid, in two groups: Shops (the 17 below) and Ads (the cross-filters that need the Pro plan).

The one most people open first is Niche. It splits the catalog into 17 parent categories, each with a live count: Fashion, Home & Garden and Beauty & Care each sit above 1.7M tagged stores, and a single store can carry more than one niche.

You rarely need more than three at once. Two well-chosen filters already cut 1.87M stores down to a readable shortlist.

Step 3: sort and read Est. Revenue

Above the grid, the sort menu offers Most relevant, Most monthly visits, Most live ads, Fastest growing, Most products and Last added. For sizing a niche, Fastest growing and monthly visits are the two that matter most.

The number most people come for is hidden by default. Open Manage shop view (the gear icon), enable the Est. Revenue column, and every store shows an estimated figure per month and per day.

Treat that figure as an estimate for ranking, not an audited P&L. It is directional, and it is enough to tell a $3M/month leader from a store that only looks busy.

Step 4: open a store’s analytics

Click any store and its full profile opens. The header shows the domain, age, country, currency, niches and theme, with tabs for Shop Analytics, Similar Shops, Meta Ads, Google Ads and their email marketing flows.

Inside Shop Analytics you get monthly visits with their trend, Traffic Over Time, Live Ads Over Time, the products with their launch dates, and the pixels and apps the store runs.

What the database actually shows

The filters get you to a store. The profile is where the real signal lives, and one chart does more work than the rest.

Visitor Countries vs Targeted Countries puts organic audience next to advertising target side by side. When the two disagree, you are looking at a store that found demand it was not even chasing.

Source: TrendTrack Shops module, checked July 2026.

Every product carries its creation date, so a store that just published three items on the same day is telling you it is testing. Best-seller price sits right there too, which is your first read on margin.

An x-ray of a single store is what the free Chrome extension does. The database does the opposite: it searches all 1.87M at once, then hands you the individual store to inspect.

One more entry point is worth knowing. The camera icon in the search bar is AI Image Search: paste or drop a product photo and TrendTrack returns the stores selling it, added in March 2026.

Three ways operators search it

The same 17 filters serve very different jobs. Here are three combinations that map to how real sellers actually open the module.

The product scout

New to a niche and hunting for a product to test? Set Niche, cap best-seller price to your margin range, and set Creation Date to the last 30 days.

Sort by Fastest growing. Young stores that are already climbing are the clearest signal that a product is catching, before it saturates every feed.

The scaler tracking a market

Already selling and want to know who the real leaders are? Filter your niche, push Traffic high, add a rising Traffic Growth rule, then sort by monthly visits and read the Est. Revenue column.

The top of that list is your competitive set. Open each one and read its visitor countries and live ads to see where the demand and the budget are going.

The niche auditor

Researching a category before you commit? Combine Niche with the Shopify Plus filter and a Trustpilot floor to isolate the established brands, not the one-week tests.

Then let AI Image Search and Similar Shops widen the map. Drop a product photo, and the stores already selling it become your shortlist.

Where the database stops

The honest limits matter as much as the filters. First, this is a Shopify database. WooCommerce, Amazon and custom builds are out of scope, which is fine if dropshipping and DTC testing are your world, less so if they are not.

Second, Est. Revenue and traffic are estimates. They are excellent for ranking a niche and terrible as a quoted fact, so cross-reference before you build a plan on them. That is also the honest frame we use in our full TrendTrack review.

Third, cross-filtering stores by their live ads sits behind the Ads module, which starts on Pro. The database itself is on Starter, so you can open the database on a free account and see the workflow before you decide how deep to go.

FAQ

How many Shopify stores does TrendTrack’s database have?

TrendTrack’s Shops database indexes about 1.87 million Shopify stores as of July 2026, and it keeps growing. Every store is enriched with estimated traffic, its niche, the apps and theme it runs, and an estimated revenue, so the count is not just a number: each entry is queryable with the module’s 17 filters.

Is the Shops database included in the Starter plan?

Yes. The Shops module, all 17 filters and the Est. Revenue column are available from the Starter plan at $59/mo (or $42/mo billed annually), and since January 2026 Starter includes unlimited shops. What moves up to Pro ($89/mo) is cross-filtering those stores by their live ad activity, which pulls from the Ads module.

Can I see a Shopify store’s revenue?

You can see an estimated monthly and daily revenue per store. TrendTrack hides the Est. Revenue column by default; enable it from Manage shop view and every store shows a figure per month and per day. Treat it as a directional estimate for ranking a niche, not an audited number.

How do I find winning stores in a specific niche?

Open Shops, set the Niche filter to your category, add a traffic or traffic-growth rule to surface stores that are climbing, then sort by monthly visits or fastest growing and read the Est. Revenue column. Open the top results to read their visitor countries, product launch dates and live ads.

Does the Shops database only work for Shopify stores?

Yes. The database is built specifically for Shopify stores, which is where most dropshipping and DTC testing happens. Non-Shopify sites are out of scope. For the ad side of any brand, Shopify or not, you use the Ads module and the one that ranks Facebook pages by ad activity instead.

The short version

Shops turns “which store should I model?” into a query. Pick a niche, add a growth rule, sort by monthly visits, read the estimated revenue, and open the winners.

Two filters and a sort are enough to start, and it all runs on the entry plan.