How do you handle product listings when expanding to marketplaces in other languages?
Translation is the wrong frame for this, and getting that wrong cost me about two months
The obvious approach is take your existing listings, run them through a translator, upload. Grammatically fine output, near-zero visibility. The problem is that marketplace search doesn't rank on correctness, it ranks on match with how local buyers phrase things. A translated title uses the words your source language would use. Buyers in the target market search with different words entirely, often shorter, often brand-plus-spec rather than descriptive.
The second problem is structural. Every marketplace wants a different shape. Some cap titles hard (75 characters on one I sell through), some rank on attribute completeness rather than description, some reject listings outright if required fields don't match their category schema. So the same product needs a genuinely different listing per marketplace, not one listing in six languages.
What I tried, roughly in order:
Machine translation alone. Cheap, fast, and it produced listings that were invisible in search. Not worthless if you just need the channel live for compliance reasons, but it won't sell.
Freelance native speakers. This works and it's still what I do for top SKUs. Around €10-25 per listing depending on language and complexity. Problem is it doesn't scale past a couple hundred products, and every catalog update means going back to them.
Hybrid, which is where I landed. AI generates the listing per marketplace from the source product data rather than translating the source listing, then a native speaker reviews the top 40 or so SKUs that drive most of the revenue. The rest ship unreviewed. I run this through since it handles the per-marketplace rewriting and publishing in one place, but the approach matters more than the tool, and you can do the same thing with a decent prompt and manual uploads if your catalog is small.
What I'd tell someone starting: don't localize the whole catalog. Pick the 20% of SKUs you expect to carry the channel, do those properly with human review, and let the long tail run on generated content. Localizing everything before you know what sells is how the two months disappeared.
The part nobody has fully solved, as far as I can tell, is commercial tone. AI gets the meaning right and the register slightly wrong, in a way that reads faintly foreign to native speakers. It converts worse than good human copy and better than translated copy. That's the tradeoff.
Anyone found something that works better at scale? Specifically wondering whether people are reviewing more than the top SKUs or letting the tail run entirely unchecked.