3 global marketing mistakes that cost you customers (and how to avoid them)

AI can translate your campaign in seconds. It can't tell you when it got something wrong. Most localization mistakes aren't caught in review. They're caught by customers, after launch.

This guide walks through three real, recognizable moments when AI translation goes wrong in marketing content: a policy that quietly changed meaning in translation, a CTA that broke on mobile, and a product page that became invisible to the customers searching for it. Each one comes with a short checklist, so you can catch it before it reaches a live campaign.

Lá dentro, você encontrará:

• A real example of how AI translation can quietly change the meaning of customer-facing content
• Why translated text doesn't always fit the space it was designed for, and how to plan for it
• Why your best English keyword rarely translates directly to your best-performing keyword elsewhere
• A practical checklist for each mistake, so you know exactly what to check before launch

Ready to launch without the guesswork?

Get the full guide and build a quick pre-launch check into your next global campaign.

Dúvidas frequentes

Why does AI translation sometimes miss the point, even when it's technically correct?

AI translates exactly what it's given. If the source content wasn't built with translation in mind, the result can read smoothly in the target language while quietly changing what it actually says.

How do I know if my CTAs or buttons are at risk of breaking in other languages?

Translated text is often longer or shorter than the English original, sometimes by 30% or more. Buttons and menus that weren't designed with that flexibility in mind can clip or overflow once translated. This guide includes a checklist for catching it early.

Does translating my top keyword guarantee I'll show up in search in that market?

No. Customers in different markets often search using different terms than a direct translation would produce, even when the translation itself is accurate.

Who is this guide for?

Marketing leaders and teams running campaigns in more than one language, especially those using AI translation without a formal review process in place.