Find successful Shopify stores, then analyze them

Vueko cannot see a store's orders: it looks at the store from the outside, like any visitor. What can be seen is what it publishes: its ads, how long they run, how many people they reach in Europe, its catalog. A store that keeps ads running week after week, and puts money behind them, is betting on what it sells: that is the signal Vueko relies on.

Our crawlers go through Meta's ad library and spot the Shopify stores that advertise. Each one is then judged on an estimate of its ad spend, recalculated every night: a store only enters the list if that spend reaches our threshold, and leaves it if the spend stays too low. What remains are active stores, revisited regularly.

It is a signal, not proof: a store can also advertise at a loss. That is why the store page says where its main figures come from, and what it does not know.

The list opens on the stores that are most active in advertising, according to our estimate. Filter it by niche, by main ad country or by store language, or search for a specific domain. Each card shows the store's domain, its niche, the photo of the product it features and how many products it has added or restocked in thirty days; on the paid plans, its revenue, reported or estimated, is added.

A store page brings together what Vueko knows about it: a capture of its home page, on desktop and on mobile, the reach of its ads in the European Union, the length of the longest one, and up to four of its products, starting with those its ads feature most. The paid plans add what its ads cost it per day at a minimum, according to our estimate, and the number of its active ads each week over twelve months, for the weeks in which we could count them all. Most products can be searched on Alibaba in one click, and a link opens the store itself so you can browse its full catalog.

Revenue comes in two kinds there, never mixed up. When the company that runs the store publishes its accounts, the page shows the reported revenue, its year and a link to the public register where you can check it: this applies to French stores whose legal notice gives their SIREN number, and whose company name appears in the domain name. Otherwise, Vueko estimates it from the store's visits coming from Google, which are themselves estimated, and shows it as an estimate, with a likely range and a wide range; for the largest stores, a minimum, with no range. Until those visits have been recorded, the page says the estimate is pending, never zero.

None of this is guesswork: our method for calculating ad spend and revenue is published, limits included.

Already know your competitors? Search for their domain. If their store is in our database, its page opens. Track it: it joins your tracked competitors, where you see its new products from the last thirty days and, with a paid plan, the number of its Meta ads active in Europe in the last complete week, the change from the week before and its revenue, reported when its company publishes it, estimated otherwise.

Vueko does not analyze a store on request: a store only enters its database if our crawlers find it in Meta's ad library and its estimated ad spend reaches our threshold. Only a store in that database can be tracked, and how many stores you can track depends on your plan: compare the plans and their tracked stores.

The weeks counted are complete weeks. The current week never is, and a week in which our list of the store's ads is incomplete is not counted: an empty box is better than a drop that never happened.

A store can also be read through its ads: each ad can be viewed one by one, with its video or image, its text and how long it ran. For its Meta ads most seen in Europe, you also get their reach, published by Meta, and their estimated spend. The page see a competitor's Facebook and TikTok ads explains what Vueko shows about them, and what it does not know.

A store inspires you? On its page, the “Create my store in this style” button opens the generator prefilled with what Vueko knows about it: its niche, its language, its market and, when we could record them, its colors. It also suggests as a starting point the products the store features in its ads. The Shopify store generator then writes yours, with its own copy and its own visuals: it reuses neither the copy, nor the photos, nor the name, nor the logo, nor the reviews of the original store.