Testing

Confirm every market gets the right language, price and rules

Validate translations, currencies and regional compliance in place.

69

countries

340

cities

Per deploy

verification cadence

The problem

Localisation bugs are invisible from headquarters. A missing translation string, a currency that did not switch, a consent banner that does not appear where it legally must — all of these only manifest for users in the affected market.

They are also disproportionately damaging, because they hit exactly the users you were trying to serve better.

The solution

Requesting your own product from an exit in each target market reproduces the user's actual experience, including the geo-detection logic that drives every localisation decision.

Running it as an automated suite turns localisation from a pre-launch checklist into continuous verification.

Mechanics

How proxies solve it

1

Trigger real geo-detection

Your IP-based locale logic only runs correctly when the IP is genuinely in the target country.

2

Verify regulated elements

Cookie consent, age gates and mandatory disclosures differ by jurisdiction and must be checked from inside it.

3

Catch currency and format bugs

Number formats, date orders, address forms and payment methods all change per market.

4

Cover markets without infrastructure

Residential coverage reaches markets where you will never have a cloud region.

Workflow

How we would build it

  1. 1

    Build a per-market assertion set

    Language, currency, date format, legal banners, payment methods, support contact.

  2. 2

    Run on every release

    Localisation regressions ship silently. Only continuous checking catches them.

  3. 3

    Screenshot for layout

    Translated strings overflow. Visual diffs catch what text assertions cannot.

  4. 4

    Include right-to-left markets

    RTL layout bugs are common and almost never caught from an LTR office.

FAQ

Localisation testing questions

Yes. Playwright and Puppeteer both accept proxy configuration per browser context, so you can run a different market per context in the same test run. There are worked examples in the docs.
If your geo-detection uses IP geolocation databases, datacenter IPs will resolve correctly and are much cheaper. Use residential where the product behaves differently for hosting ranges.
Get started

Ready to start localisation testing?

Your first gigabyte is free, which is normally enough to validate the approach against your real target before you commit to anything.