How to Localise Content for New Markets (Beyond Translation)

Localising content means more than translating it

Translation changes the words on a page. Localising content changes whether the person reading it in that market believes someone local wrote it for them. A page can be grammatically flawless in French and still read like it was drafted in Ohio and run through software, because the examples, the currency, the assumed problem, and the tone never actually moved.

That gap opens before anyone touches a sentence. Closing it means starting somewhere other than the document you already have.

Start with the market

Localising content starts with what the market needs, not with how to phrase your existing page in another language. The instinct is to take the best domestic page you've got and translate it, because it already works at home. But "works" is tied to a specific buyer, a specific fear, and a specific assumption about the category, and none of those cross borders automatically.

Before anyone writes a sentence, the market needs answering on its own terms. A simple framework works better than a hunch: rank candidate markets by three factors, the size of the addressable buyer base, how mature the category already is there, and how heavy the regulatory or compliance weight is on the purchase decision. A market that scores high on size but low on category maturity needs education content before it needs a converting pricing page. A market with heavy regulatory weight needs the compliance argument built into the proof from day one, not bolted on after launch.

Here's an illustrative example rather than a documented case: a payroll platform might sell on saving time in the US and on avoiding a compliance fine in Germany, because the regulatory weight and the fear attached to it are heavier there. Same software, same features, a different reason to buy. You find that by looking at the market, not the file you're about to send to a translator. Content that argues against a belief nobody holds reads as strange. Content that assumes trust nobody has extended yet reads as naive.

For a sourced example at scale, Freshworks classifies markets as mature or emerging and adjusts go-to-market strategy and localised creative accordingly, using local search demand to decide where to compete (source). That's a market decision made before a single line of copy gets adapted, and it's the decision translation can't make for you. It's a customer case study published by the vendor, not independent research, so treat the topline result as directional rather than a benchmark to hit. For an independent read on how big the underlying shift is, Eurostat's international trade statistics track how cross-border e-commerce demand splits by country and product category, which is a reasonable starting point for the market-ranking exercise above before any vendor data enters the picture.

Fix the proof

The proof on the page is where imported content gives itself away, usually faster than the grammar does. A price still quoted in dollars. A testimonial from a city nobody in the market recognises. A sample company name that reads as obviously foreign. None of these are grammar problems, and no translator catches them, because they're not wrong, they're just not local.

Common proof elements that need a market-specific pass, illustrated rather than pulled from a documented case:

• Currency and pricing format. A US page quoting $49 a month needs converting and reformatting for the target market, not just relabelled, so 44,99 € rather than $44.99 with a euro sign stuck on.
• Fiscal and budget references. A Q4 budget-cycle mention only lands if that market runs the same fiscal calendar.
• Testimonials and case studies. A Chicago logistics manager talking about the holiday rush needs swapping for a local buyer whose problem and vocabulary match what a reader in that market expects, formal address included where the culture calls for it.
• Trust signals and payment methods. Badges, review platforms, and payment options a buyer recognises at home may be unfamiliar or irrelevant elsewhere, and unfamiliar payment options at checkout are their own conversion problem.
• Native review. A phrase that's not wrong but that nobody actually says that way is the kind of tell a glossary won't catch and a lawyer isn't looking for. Only a native reviewer catches it.

One first-hand case: a German SaaS pricing page originally built for the UK market carried a Manchester-based testimonial, GBP pricing displayed with a converted-but-unformatted euro figure, and a "book a demo" CTA with no reference to VAT treatment. The rebuild swapped the testimonial for a Hamburg-based operations lead quoting the same product benefit in the vocabulary German buyers actually use for it, reformatted the price to the local convention, and added VAT-inclusive pricing language that German B2B buyers expect to see before they'll trust a checkout page. None of that touched a single English sentence structure. It touched what the page proved, and to whom.

Hreflang and regional SEO structure route a reader to the correct URL. That's the whole job. They don't touch what's on the page once the reader lands there, and treating them as a localisation strategy is how sites end up technically correct and substantively imported.

Glopal's work localising online stores across more than 100 markets shows what the fuller version looks like in practice: automated translation paired with local currency conversion, tax and duty calculation, and region-specific shipping and payment options, which the company reports helped customers roughly triple worldwide sales (source). That figure comes from a vendor case study, not an independent audit, so read it as a strong signal rather than a guaranteed multiplier. The lift didn't come from better sentences. It came from the page matching what a local buyer expects to see before they'll trust it enough to pay.

Not every page on a site earns this level of adaptation. Trying to give it to all of them is how localisation budgets get spread too thin to matter anywhere. Pricing pages, core product pages, and whatever's driving signups deserve the full treatment: transcreation for anything relying on wordplay that won't survive being translated literally, a controlled glossary so product names stay consistent across every translator touching them, and native sign-off before it ships. Regulatory review belongs in this pass too, and it doesn't look the same everywhere. Data protection wording needs checking against GDPR in the EU and against a different standard entirely once you're outside it. Health and financial disclaimers shift by jurisdiction in ways a glossary can't flag, and consumer-rights language that's standard boilerplate in one market can be a legal requirement in another. Local date, time, and measurement formats belong in this same pass. A US date format or imperial units on a page otherwise localised for Germany undoes some of that work quietly. Archive content and low-traffic pages can get a lighter pass, or sit untouched, without much cost.

Review and measure

A localised page needs measuring against its own market's baseline, not against a domestic page that's had years to mature. A page converting at half your US rate might be a genuinely strong result if the category is newer there, the market is smaller, or buyers are earlier in their decision cycle. Judge it against a number it was never going to hit in year one, and you'll kill a market that was actually working.

The figures below are a hypothetical for illustration, not a benchmark from a study. Say a pricing page relaunches in a market where the category is newer.

• Domestic page: converts at 4% within two days of a visit.
• New market, first quarter: a realistic baseline might sit closer to 1.5%.
• Decision window: longer, because buyers there are still educating themselves on the category.

Comparing that market to the 4% domestic figure from month one hides whatever ground it's actually gaining. Track it on its own terms, across several cycles, rather than against a number set somewhere else.

A workable measurement approach looks like this:

1. Set the baseline for each market before launch, using that market's own early data, not the domestic figure.
2. Track whether the gap to domestic performance is narrowing over time, rather than whether it's closed.
3. Redo keyword research per market rather than translating the existing list. Search behaviour resets locally, not just linguistically. A keyword with real volume at home can sit nearly dead in a new market while a local synonym does the actual work.
4. Revisit CMS and workflow tooling for how it handles market-specific content variants, so the team maintaining ten markets isn't duplicating a page ten times by hand.

Legal review timelines vary by market too, and they're worth building into the measurement plan rather than treating as a fixed cost. A consumer-rights disclosure that clears legal in one jurisdiction in a day can sit with counsel for weeks in another where the regulatory category is stricter, and a launch date set without accounting for that gap tends to slip.

Cross-border commerce isn't a marginal bet. Google's 2025 localisation strategy report puts the figure past $1.2 trillion in cross-border ecommerce sales, and cites seven of the top eight markets for global game downloads as non-English, based on Google's own market and search-trend data rather than a third-party audit (source). Getting localising content right, with its own market thesis, its own proof, and its own baseline, is what makes that scale usable rather than theoretical.