Case study
Marketing localization across 500 assets and many markets.
A brand needed 500 marketing assets localized across several languages without the brand voice drifting from one market to the next.
500 marketing assets - Japanese, Chinese, Hindi, Italian, and more - Brand voice consistency across markets
110,000+
verified language specialists
300+
languages across active service lines
4,500+
dialects and regional variants
110+
rare and indigenous language pairs
1,000+
brands served since 2015
Measured outcomes
Marketing localization at brand scale
Project overview
What landed, and what made it hard.
A brand needed 500 marketing assets localized across several languages, including Japanese, Traditional and Simplified Chinese, Bengali, Hindi, and Italian.
Delivery snapshot
Marketing localization at brand scale
- Client
- confidential global brand (via partner)
- Service
- Marketing localization
- Languages
- Japanese, Chinese, Hindi, Italian, and more
- Volume
- 500 marketing assets
Why this mattered
Outcome before process.
Marketing localization is brand work: the copy has to read like the brand in every language, not like a literal translation of the source.
The problem to solve
Why the work was difficult, and what MoniSa changed in-flight.
Across 500 assets and many languages, brand voice drifts easily, and one off-tone market can break the consistency a campaign depends on.
The challenge
The problem to solve
Marketing copy also has to adapt rather than translate, since a line that lands in one language can fall flat word-for-word in another.
Operating response
What MoniSa changed
MoniSa localized each asset for brand voice rather than literal meaning, keeping tone consistent across every target market.
- Brand voice first Each asset was adapted to read like the brand in its language, not as a literal rendering.
- Cross-market consistency Tone and messaging were held consistent so every market matched the same brand.
- Adaptation over translation Lines that would fall flat word-for-word were reworked to land in each language.
Results
Measured outcomes from this engagement.
500 marketing assets were localized across several languages, with brand voice held consistent across every target market.
| Volume | 500 marketing assets |
|---|---|
| Languages | Japanese, Chinese, Hindi, Italian, and more |
| Focus | Brand voice consistency across markets |
| Quality | Independently reviewed |
Selection logic
What protected the result.
The selection came down to whether MoniSa could source and review the work at standard, and whether that would hold across the full run.
Why the fit was real
Why the fit was real
Marketing localization rewards adaptation and brand-voice discipline across markets, not literal translation.
What decided the result
What decided the result
Adapting for brand voice rather than translating word-for-word is what kept the campaign consistent across markets.
What buyers can reuse
What buyers can reuse
- Marketing localization is brand work: the copy has to read like the brand in every language.
- Adapting for tone rather than translating literally kept 500 assets consistent across markets.
- The evidence keeps the client details confidential and attributes the metrics only to this engagement.
Continue from this proof
Useful comparisons for the same problem.
Use these links to compare the case with the matching service, buyer guide, and language coverage.
Mapped context
Service and buyer context
Languages named
Examples referenced in the engagement.
- Japanese
- Chinese
- Hindi
- Italian
More proof
Related proof
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case evidence
Nearest proof pattern.
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Buyer questions
Ask the questions weak vendors avoid.
Short answers for buyers checking fit, coverage, quality method, and next-step readiness.
What was delivered on this engagement?
Volume: 500 marketing assets. Languages: Japanese, Chinese, Hindi, Italian, and more. Focus: Brand voice consistency across markets
What control kept the work stable?
Adapting for brand voice rather than translating word-for-word is what kept the campaign consistent across markets.
Where should similar work go next?
Use Localization services for the delivery model, Translation vendor buyer guide for buyer-side evaluation, and the contact page for a scoped brief.
Similar brief
Send the constraint behind the metric.
A useful follow-up to a case study names the language mix, review model, deadline, and what proof your buyer team needs before approval.
Production-ready brief
01Closest matching challenge from this case02Language pair, dialect, and script coverage03Volume, cadence, or hours to deliver04Reviewer model and acceptance criteria05Security or platform constraints06Proof needed for stakeholder approvalCapability at a glance
The answers most briefs open by asking for.
Buyers rarely start with who we are. They start with a list of fields to fill. Here are ours, so the first email can be about the work instead.
- Languages and locales
- 300+ languages and 4,500+ dialects, quoted per locale rather than per language — because the dialect decides whether a dataset is usable, whether a market accepts a release, and which specialist the work goes to.
- Specialist network
- 110,000+ verified language specialists — linguists, annotators, and reviewers — plus voice talent and subtitlers, matched to the language, domain and task before assignment.
- Capacity and mobilisation
- Named availability confirmed per pair before scoping. Coverage is reported as staffed today or needing a recruitment window, in writing, before a launch date or release window is agreed.
- Sourcing constraints
- Specialists can be sourced against geographic, residency, locale and demographic requirements — including native-only, in-country, and speaker-diversity quotas where a data programme demands them.
- Deliverables and specs
- Work is delivered to the receiving specification: structured formats and schemas for data and annotation work, and timed-text, audio and platform conformance for media — subtitle reading speed, line limits, cue timing, channel and sample-rate requirements included.
- Comparable work
- 62 documented case studies stating the scope, the constraint that made it difficult, and the measured result — across AI data programmes, partner overflow, and media releases. 2,000+ AI projects delivered and 1,000+ brands served since 2015.
- Certifications
- ISO 9001:2015 quality management, ISO 27001:2022 information security, and ISO 17100 translation services — scoped to translation specifically, and stated that way rather than implied across every line.
- Commercial basis
- Quoted in the unit the work is measured in — per word, per audio hour, per approved hour, per finished minute, per batch, per item — with what the unit includes stated alongside it, whether the quote is for you or for a client you quote onward.
Need this against your own template? Convert your scope between units and check the deadline, then send the brief with your language list, content type, volume and deadline, and the acceptance criteria you will judge the output against — those four decide feasibility, and the reply addresses them directly.