Online education companies marketing in four languages often pay agencies and wait days for every campaign translation. An AI localization flow adapts emails and ads into Hebrew, English, Russian and Arabic the same afternoon, typically cutting localization costs by about 70%.
Typical results
4 hrs
Master copy to four live languages
+34%
Russian-language enrollments
100%
Campaigns now launched multilingual
Figures reflect typical results for this kind of automation.
The challenge
Every campaign launch meant a translation relay: brief a freelancer for each language, wait three to five days, then discover the Russian version read like a legal notice and the Arabic broke the ad layout. Multilingual launches cost about ₪6,000 in fees per campaign, so the marketing team defaulted to Hebrew-only — leaving three audiences underserved.
Before and after
Localization cost per campaign
−70%Launch turnaround
−96%Multilingual campaigns per year
8×The automation
We built a localization engine on Make and OpenAI: marketers drop the master campaign — email copy, ad variants, subject lines — into one form, and the flow adapts it into Hebrew, English, Russian, and Arabic. Adaptation, not translation: idioms, tone, and calls-to-action are rewritten per audience, then checked against a brand glossary. Approved variants push automatically to the email platform and ad accounts, each tagged by language for one performance dashboard.
How it works
- 01
Drop the master
Marketers submit the campaign's emails, ad variants, and subject lines in a single form.
- 02
AI adapts
Copy is rewritten per language — idioms, tone, and calls-to-action adjusted for each audience, not translated word-for-word.
- 03
Glossary check
Brand terms and course names are verified against an approved glossary before anything ships.
- 04
Push to channels
Approved variants deploy automatically to the email platform and both ad accounts.
- 05
One dashboard
Every variant is tagged by language, so performance is compared side by side in one place.
Starts from
- Master campaign copy
- Ad variants
Delivers
- Localized email campaigns
- Ads live in four languages
- Per-language dashboard
The impact
Localization costs typically drop about 70%, and a four-language campaign launches the same afternoon instead of the following week. Teams can move from a handful of multilingual campaigns a year to every campaign in four languages, and audiences that used to be an afterthought, such as Russian speakers, can grow enrollments around 34% within a quarter.
Questions about this automation
How does the AI adapt copy for each language?
The OpenAI step rewrites each email, ad variant and subject line for its audience instead of translating word for word, adjusting idioms, tone and calls to action in Hebrew, English, Russian and Arabic. A glossary check then confirms that brand terms and course names follow the approved wording before anything is published.
Can a native speaker review the copy before it goes live?
Yes. Each language version can be routed to a reviewer for approval before it is pushed. Reviewers see the master copy next to the adapted version and can edit inline. Approved variants then deploy to the email platform and the ad accounts, and recurring edits can be added to the glossary.
How is performance compared across languages?
Every variant is tagged by language and campaign when it is published, so opens, clicks and enrollments from the email platform and ad accounts land side by side in one dashboard. Marketers can see which language and message perform best and adjust the next master campaign accordingly.