A merchandiser in London puts a wool coat at the top of the bestsellers collection in October. Good call: it's cold, the coat is trending, and stock is strong. Nine thousand miles away, a shopper in Sydney opens the exact same collection, on the exact same day, and the coat is still sitting at the top. It's spring there. Nobody's buying a coat. The shopper scrolls past it to find something else, and the trading team never sees that scroll happen.
This is not a glitch. By default, one merchandising order is shown everywhere the collection is sold, regardless of what season or stock position any single market is actually living through.
The question, then, isn't whether London and Sydney should be merchandised differently. It's how a trading team can make those decisions while keeping the same Shopify store. That's the exact question Tagalys Markets was built to answer, and the coat is a good place to start answering it, because Shopify Markets already gets most of the setup right.
What Shopify Markets handles: the operational layer
Shopify Markets does exactly what it's built for: selling into more than one region from a single store. Each Market can have its own currency, pricing, domain or subfolder. Each one can even run its own catalog of available products, built from a publication (what's visible there) and a price list (what it costs there). Shopify will even catch a shopper who doesn't match any market you’ve defined and drop them into a backup region, so that nobody falls through.
Selling to a market and merchandising for it turn out to be two different decisions. Shopify Markets covers the first, the operational layer. The second one, the one that decided where the coat lands, is still wide open.
Most brands handle that gap today by duplicating the collection once per market: a second version for the UK, a third for Australia, each one rebuilt by hand, sort order and pins and stock rules copied over one at a time. Every copy then has to be kept in sync as stock and demand shift. Even Shopify's own "sort by price" ignores market price overrides and sorts on the base price instead. That's exactly the gap the merchandising layer exists to close.
How Tagalys Markets handles the merchandising layer
So the coat gets to be two different decisions instead of one. Merchandise the same collection differently in every market it reaches.
For a trading team managing multiple markets day to day, that's what authoring a real strategy per market looks like in practice:
- Rank the same collection by different logic per market, using Trending Score, stock position, or units sold, whichever fits that market
- Pin different products to lead a collection in different markets, and set conditions so a pin lifts automatically once stock runs low or a promotion ends
- Include or exclude a product per market, whether because of stock, a regional sale, or simple relevance, while leaving it untouched everywhere else
- Feed each market's own inventory, size performance, and trend signals into how its collection is ranked, rather than applying signals borrowed from somewhere else
- Suppress a product automatically in a market when it's out of local stock, without touching its availability anywhere else
The two ways a collection can be built behave slightly differently here. A collection created natively in Shopify keeps the same set of products in every market, so only its order and pinning change per market. A Tagalys collection can vary the product set itself, market by market, through conditions.
Three decisions sit inside the merchandising layer, one after another:
Choose what leads in each market
The more precise name for this is market-specific merchandising: treating each market's collection as something to curate on its own terms, not just translate and re-price.
Back to the coat. In London, it has earned its spot: strong stock, real demand, the right season. In Sydney, the same product may need to give way to something more relevant to that market. That is the first merchandising decision: what should lead the collection here?
Make that decision market by market, using the ranking logic, pins and boosts that make sense for each one. The coat can lead in London because it is the right product for that market at that moment, while a different product takes the lead in Sydney. The two decisions sit alongside each other, without one changing the other.
Same collection, but the products leading it can be different depending on the market
Respond as stock and campaigns change
The decision does not stay fixed either.
Say the coat sells through faster than expected in London, ahead of schedule. The pin condition drops it the moment stock crosses the threshold the team set, and whatever's actually trending next in that market moves into its place automatically, without anyone touching Sydney's dress at all. Same collection, same tool, reacting to whichever market's reality changes first, on its own schedule, not a shared one.
Review performance market by market
Then comes the question every trading team eventually asks: did the decision work?
Once London's coat and Sydney's dress have both run a full season, compare collection views, conversion, and revenue by market. That's the evidence that tells a trading team whether the coat actually earned its position, or whether next season's pin should be a different style entirely.
Which means London can pin the coat, and Sydney can pin the dress, and neither market has to wait for the other to catch up to its own season. A collection doesn't need the same order in every market it reaches, and now it doesn't have to. For a fashion trading team, that's not a nice-to-have. It's control over what a shopper sees first, wherever they are, and that's usually the whole point of merchandising in the first place.
As more fashion brands expand into new markets, that distinction, between the operational layer and the merchandising layer, only gets more relevant. The store can already handle the first part on its own. The second part was always going to be yours to decide, market by market, coat by coat.
See how your own store's collections could merchandise differently across every market you sell into. Book a demo.
