Launching in a new country takes longer than planned. Here is where the time actually goes.

| | 8 min read
pim, internationalization, multi-channel, pricing

The decision gets made in a meeting. "We're launching in Germany next quarter." Everyone nods. Someone writes it into the roadmap. The question that should be asked in that same meeting, but usually isn't: how many products do you actually have, and how many attributes per product need translating? That number determines whether "next quarter" is realistic.

The scope question nobody asks

A team with 200 hero products and a clear product range can probably launch in a new country in a quarter. A team with 40,000 SKUs, each with 15 attributes (product names, descriptions, colour names, material labels, size values, care instructions) is looking at a substantially different project. Not a different category of project. A different order of magnitude of work.

This distinction is almost never made at the planning stage. The project gets scoped as "translate the products." The actual unit of work (SKU × attributes × languages) stays invisible until someone sits down to start.

The consequence: the launch slips, or the team goes live with whatever is ready.

What actually needs to be ready

A new-country launch has five workstreams. They run in parallel, and all five need to be ready before a product can go live.

1. Product selection

Which products go to the new market? This is a CEO or director-level decision, not a data task. Some operators transfer the full catalogue. Others launch a curated range. Others exclude certain products due to exclusivity agreements or regulatory restrictions.

The decision matters more than it looks, because it determines the scope of everything else. A decision to launch 8,000 of 40,000 products is a fundamentally different project than launching all 40,000. Make this decision before the project starts, not mid-way through it.

With a PIM, implementing the decision is fast: select the relevant products, assign them to the new channel. Without one, it is an export-triage-translate-upload cycle for every product in scope.

2. Product content

This is where most of the time goes. What needs translating:

  1. Product names
  2. Short and long descriptions
  3. Attribute labels ("Colour", "Material", "Size")
  4. Attribute values ("Dark Navy", "100% Merino Wool", "EU 42")
  5. SEO metadata

Items 3 and 4 are the ones teams underestimate. Translating "Dark Navy" across 3,000 products is a different scope than translating 3,000 descriptions. And if you are launching from the US or UK into Germany, size and weight standards need converting: clothing sizes, shoe sizes, weight and volume units. Launching from France into Germany, you probably do not face the same conversion work. The scope depends on the source-target pairing, not just the destination.

The practical workflow: AI first pass across the full catalogue, then local review and adjustment by someone who actually speaks the language. Skipping the local review produces translations that are technically correct but commercially wrong. The kind of thing a German customer notices immediately.

3. Pricing

Converted or independently set — depends on strategy. If you are converting from another currency, the exchange rate alone does not give you a price: you need a rounding rule on top of it. Currency conversion without rounding produces prices like €34.87. That is not a price; it is a number. We have written about commercial rounding in detail in a separate post. If pricing is the piece you are working through, start there.

4. Shipping

Carrier setup, delivery zones, rates, and delivery time display for the new market. This is a distinct pre-launch technical task that frequently gets treated as an afterthought. On marketplaces, shipping data must be correct at the product level before listings can go live. It belongs on the readiness checklist, not on the post-launch fixing list.

5. Legal and website

Terms and conditions, returns policy, and privacy policy in the local language, compliant with local regulations. For Germany: Impressum, 14-day return right, VAT setup. Beyond the legal pages: navigation labels, checkout copy, UI strings. These are not product data tasks, but they block the launch just as effectively.

Phased launch: strategy, not failure

If the catalogue is large and the timeline is fixed, launching the full range on day one may not be achievable. A phased launch (go live with the prepared products, add the rest in batches) is a legitimate approach. It is not a compromise; it is a sequencing decision.

The difference between a planned phased launch and an unplanned incomplete launch is when the decision gets made. Teams that decide in week one to launch 500 products and expand monthly have a plan. Teams that discover in week ten that they are only 30% done and go live anyway have a problem: incomplete catalogue, no clear timeline for the rest, and customers who notice the gaps.

If your catalogue is large, make the phased launch call deliberately and early. Define which products lead (your strongest sellers, your most complete records) and what the batch schedule looks like before the project starts.

A note on Germany specifically

German consumers pay attention. They read attribute data. They notice when sizes do not match, when descriptions are clearly machine-translated, when prices end in numbers that do not feel deliberate. The tolerance for a rough launch is lower there than in markets where customers are more accustomed to incomplete or imprecise product pages.

This does not mean you cannot launch in batches. It means the products you launch first need to be done properly. A catalogue where the first 500 products are fully attributed, correctly sized, cleanly priced, and professionally translated is a stronger start than 2,000 products that are half-ready. In Germany, the quality of what you show matters more than the quantity.

How a PIM changes the timeline

With product data well structured in a PIM, the mechanics of each workstream are faster: product selection is an assignment operation, bulk pricing runs against a conversion rule, marketplace integrations can launch at the same time as the website rather than following weeks later. The translation workload is still real. A PIM compresses the timeline; it does not eliminate the work. But the export-triage-translate-upload cycle that makes each workstream a standalone project goes away.

If the data is well structured and already in a PIM, a new-country launch can move in days to weeks. If the data needs work first, months. If there is no structured foundation, the timeline is measured in the wrong unit entirely.

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