Adapt a marketing campaign for another country or culture
A transcreation and localization plan that adjusts message, visuals, offers, channels, and legal details for a new market.
The prompt
Help me adapt a marketing campaign for a different country or cultural market.
Original campaign: [PASTE headline, body copy, key visuals described, offer, CTA]
Original market and target market: [e.g. "US to Germany", "UK to UAE"]
Target audience there: [WHO]
Channels in the new market: [planned channels]
Local team or reviewers available: [YES/NO and who]
Review and adapt:
1. Message: does the core insight hold there? Flag idioms, humor, wordplay, and references that won't travel, and propose transcreated alternatives that keep the intent, not word-for-word translation.
2. Tone and formality norms, forms of address, and how direct the selling can be.
3. Visuals: people, gestures, colors, symbols, settings, and imagery that may be inappropriate or confusing.
4. Offer and proof: currency, pricing format, payment methods, local social proof, local holidays and seasons, date and number formats.
5. Channels: platforms that matter locally vs. the ones in the original plan.
6. Legal and regulatory differences to check: advertising standards, comparative claims, discount and pricing rules, consent and privacy rules for email and cookies, required disclosures.
Return:
- A table: Element | Original | Issue in target market | Recommended adaptation.
- Adapted headline and CTA options (in English with notes, or in the local language if I ask).
- Questions for a native-speaking local reviewer to confirm before launch.
Flag uncertain cultural points as [VERIFY LOCALLY] and recommend local legal review.
Highlighted [brackets] are blanks to replace with your own details.
Fill in the blanks and use this promptMore Marketing & Brand prompts
What to fill in
- PASTE headline, body copy, key visuals described, offer, CTA
- e.g. "US to Germany", "UK to UAE"
- WHO
- planned channels
- YES/NO and who
- VERIFY LOCALLY
How this prompt is built
This prompt follows the RTF structure (Role, Task, Format). RTF tells the model who to be, what to do and what shape the answer should take. It is the quickest structure that still gives noticeably better results than a bare request.
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