/digital-marketing-pro:localize-campaign

Purpose

Full campaign localization across multiple target markets. This command takes all campaign assets — emails, ads, social posts, landing pages, video scripts, push notifications — and adapts them for each target market. It goes far beyond translation: cultural references are adjusted, compliance elements are modified per region, SEO is localized, creative recommendations are adapted, and assets are prepared for multilingual publishing.

This is the comprehensive localization workflow for market expansion. Where /digital-marketing-pro:translate-content handles a single piece of content, /digital-marketing-pro:localize-campaign orchestrates the localization of an entire campaign across multiple markets simultaneously. It coordinates translation service routing per language, transcreation for emotional content, market-specific compliance additions, cultural adaptation based on Hofstede cultural dimensions, localized SEO, RTL formatting for applicable languages, and produces a deployment-ready package per market with quality scores and publishing checklists.

Input Required

The user must provide (or will be prompted for):

• Campaign assets: Content for localization, provided as:
  • File paths per asset type (e.g., "emails: /campaign/email-welcome.html, /campaign/email-follow-up.html; ads: /campaign/fb-ad.txt, /campaign/google-ad.txt; social: /campaign/ig-post.txt")
  • A campaign directory (e.g., "/campaign-q1/") — all files will be categorized by type based on naming conventions or metadata
  • Inline content blocks with asset type labels
• Target markets: One or more market codes in language-region format (e.g., hi-IN, de-DE, ja-JP, fr-FR, ar-SA, pt-BR, es-MX). Each code specifies both the language and the cultural/regulatory context
• Campaign brief or strategy document: Optional — provides campaign objectives, messaging hierarchy, key themes, and audience segments. Used to inform transcreation decisions and ensure localized versions maintain strategic alignment
• Market-specific compliance requirements: Optional — additional regulatory, legal, or industry requirements per market beyond what is already in the brand profile (e.g., "Germany requires Impressum link", "India requires MRP display", "Saudi Arabia prohibits alcohol imagery references")
• Budget allocation per market: Optional — if provided, influences prioritization (higher-budget markets get full transcreation and deeper cultural adaptation; lower-budget markets get quality translation with standard adaptation)
• Priority markets: Optional — markets to process first and with the most thorough adaptation. Other markets receive standard localization
• Asset priority: Optional — which asset types are most important (e.g., "landing pages are highest priority, social posts are secondary"). Affects depth of review and transcreation effort

Process

1. Load brand context: Read ~/.claude-marketing/brands/_active-brand.json for the active slug, then load ~/.claude-marketing/brands/{slug}/profile.json. Extract full language configuration — do_not_translate terms, translation_preferences, locale_formatting rules per market, approved markets list. Load compliance rules for every target market from skills/context-engine/compliance-rules.md. Check for guidelines at ~/.claude-marketing/brands/{slug}/guidelines/_manifest.json — if present, load voice-and-tone rules, messaging hierarchy, channel style guides, and any market-specific brand guidelines. Check for custom templates at ~/.claude-marketing/brands/{slug}/templates/ — localized templates may already exist for some markets. Check for agency SOPs at ~/.claude-marketing/sops/. If no brand exists, ask: "Set up a brand first (/digital-marketing-pro:brand-setup)?" — or proceed with defaults.
2. Inventory all campaign assets: Enumerate every asset from the provided sources. Categorize each by type (email, ad, social post, landing page, video script, push notification, SMS, blog post). For each asset, analyze the content to classify it as:
   • Factual/informational: Product descriptions, specifications, terms, pricing — suitable for direct translation
   • Emotional/creative: Headlines, CTAs, slogans, hero copy, storytelling — requires transcreation
   • Compliance-sensitive: Disclaimers, consent language, legal text, privacy notices — requires market-specific adaptation
   • SEO-dependent: Landing pages, blog posts, meta content — requires localized keyword research Report the full inventory to the user: total asset count, breakdown by type, breakdown by content classification, and estimated processing scope per market.
3. For each target market, execute the following localization pipeline: a. Route translation service: Run python "${CLAUDE_PLUGIN_ROOT}/scripts/language-router.py" --action route --source "{source_lang}" --target "{market_lang}" to select the optimal translation service for this language pair. Log the selected service. b. Translate factual content: Process all factual/informational assets through the routed translation service via the appropriate MCP server (deepl, sarvam-ai, google-cloud-translation, or lara-translate). Pass do-not-translate terms, glossary entries, formality settings, and formatting preservation flags. Score each translation via python "${CLAUDE_PLUGIN_ROOT}/scripts/language-router.py" --action score. c. Transcreate emotional content: For all emotional/creative assets, apply the transcreation methodology from skills/context-engine/transcreation-framework.md. Produce 2-3 creative adaptation options per piece, each with:
   • The adapted content in the target language
   • Back-translation for review
   • Intent-preservation score
   • Cultural fit assessment for this specific market
   • Tone alignment with the original Mark the recommended option but preserve all alternatives for client review. d. Adapt cultural elements: Reference the cultural dimension mapping in skills/context-engine/multilingual-execution-guide.md (Hofstede framework) to adapt:
   • Social proof style: Testimonials (individualist markets) vs. community endorsements (collectivist markets) vs. authority citations (high power-distance markets)
   • Urgency tactics: Direct scarcity (Western markets) vs. relationship-based urgency (Asian markets) vs. group-benefit urgency (collectivist markets)
   • Trust signals: Certifications and data (Germanic markets) vs. relationship and reputation (Asian markets) vs. authority endorsement (Middle Eastern markets)
   • Visual/imagery recommendations: Color associations, gesture meanings, modesty considerations, seasonal references per market
   • Humor and tone: Adjust or remove humor that does not translate culturally; adapt tone to match market expectations for formality e. Localize compliance: For each market, add or modify:
   • Market-specific disclaimers and legal notices
   • Data consent and privacy language per regional regulation (GDPR for EU, DPDPA for India, PIPA for Japan, LGPD for Brazil, etc.)
   • Industry-specific regulatory statements
   • Required disclosures (pricing, advertising standards, influencer disclosure)
   • User-provided market-specific compliance requirements Reference skills/context-engine/compliance-rules.md for the regulatory framework per market. f. Localize SEO (for landing pages, blog posts, and web content): Provide localized keyword suggestions based on the original keyword targets, generate hreflang tag specifications for multi-language site setup, create localized meta titles and meta descriptions, and adapt URL slug recommendations for the target language. g. Adjust formatting: Apply locale-specific formatting:
   • RTL text direction for Arabic (ar), Hebrew (he), Urdu (ur), Persian (fa) — flag any layout elements that need RTL adaptation
   • Date formats per locale (DD/MM/YYYY vs. MM/DD/YYYY vs. YYYY-MM-DD)
   • Number formatting (decimal separators, thousands separators)
   • Currency symbols and positioning
   • Measurement units (metric vs. imperial)
   • Phone number formats with country codes
   • Address format conventions
4. Score each localized asset: Run python "${CLAUDE_PLUGIN_ROOT}/scripts/language-router.py" --action score on every translated/transcreated asset to assess translation quality (length ratio, formatting preservation, key term consistency, placeholder integrity, completeness).
5. Evaluate localized content quality: Run python "${CLAUDE_PLUGIN_ROOT}/scripts/eval-runner.py" --brand {slug} --action run-quick --text "{localized_content}" --content-type "{type}" on each localized asset to assess overall content quality in the target language. This catches issues beyond translation accuracy — readability, persuasion, brand alignment in the target language.
6. Run brand voice check: Execute python "${CLAUDE_PLUGIN_ROOT}/scripts/brand-voice-scorer.py" --brand {slug} --text "{localized_content}" on key assets (headlines, hero copy, email subject lines) to verify brand voice preservation across languages.
7. Create per-market delivery package: For each target market, assemble:
   • All localized assets organized by type
   • Translation quality scores per asset
   • Content quality scores per asset
   • Transcreation options for emotional content (with recommended option marked)
   • Cultural adaptation notes explaining what was changed and why
   • Compliance additions with regulatory references
   • SEO recommendations (keywords, hreflang, meta content)
   • Formatting notes (RTL flags, date/number/currency formats applied)
   • Deployment checklist specific to this market
8. Generate cross-market consistency report: Verify that core brand messaging, campaign themes, and value propositions remain consistent across all localized versions. Flag any market where the localized messaging diverges significantly from the campaign strategy. Check that do-not-translate terms are consistently preserved across all markets. Verify that visual/imagery recommendations are consistent where appropriate and diverge where culturally necessary.
9. Produce localization summary: Compile the full overview — all markets, all assets, all scores, all flags — into a single summary document with a quality scoreboard (markets as rows, assets as columns, scores in cells) and an overall campaign localization health score.

Output

A comprehensive campaign localization package containing:

• Per-market asset package: For each target market:
  • All localized content organized by asset type (email, ad, social, landing page, etc.)
  • Translation quality score per asset with dimension breakdown
  • Content quality score per asset (eval-runner assessment)
  • Brand voice score for key assets
• Transcreation options: For all emotional/creative content across all markets — 2-3 options per piece with back-translations, intent-preservation scores, cultural fit notes, and recommended option marked
• Cultural adaptation notes: Per-market summary of what was adapted and why — social proof style, urgency tactics, trust signals, humor adjustments, imagery recommendations, with Hofstede dimension references
• Compliance additions per market: Every disclaimer, consent statement, regulatory notice, and required disclosure added for each market, with regulatory references (GDPR Article X, DPDPA Section Y, etc.)
• Localized SEO recommendations: Per-market keyword suggestions, hreflang tag specifications, localized meta titles and descriptions, URL slug recommendations
• RTL and formatting notes: For applicable markets — RTL layout flags, date/number/currency format specifications, measurement unit conversions, address and phone format conventions
• Cross-market consistency report: Verification that brand messaging, campaign themes, and value propositions are coherent across all markets, with flags for significant divergences
• Quality scoreboard: Matrix of all markets (rows) by all assets (columns) with translation quality scores, content quality scores, and overall grades — provides an at-a-glance view of campaign localization health
• Deployment checklist per market: Market-specific steps for publishing — platform settings, language targeting, geo-targeting, compliance approvals needed, QA review points, go-live sequence
• Campaign localization health score: Single aggregate score reflecting overall localization quality, consistency, and completeness across all markets
• Recommendations: Priority items for human review (low-scoring assets, culturally sensitive transcreation decisions, compliance items requiring legal sign-off), process improvements for future localization runs, and terms to add to the brand glossary

Agents Used

• localization-specialist -- Manages the end-to-end localization pipeline including translation service routing, transcreation execution, cultural adaptation using Hofstede dimensions, compliance localization, quality scoring, cross-market consistency verification, and per-market package assembly
• content-creator -- Generates transcreation options for emotional and creative content, produces culturally adapted headlines and CTAs, creates localized meta descriptions and SEO copy, and ensures marketing effectiveness is preserved across languages
• execution-coordinator -- Coordinates the multi-market publishing workflow, manages deployment checklists, sequences go-live across markets and channels, tracks approval status per market, and ensures all compliance sign-offs are obtained before publishing

---

Supporting file: skills/context-engine/compliance-rules.md

Compliance Rules Reference

This file is the canonical compliance ruleset for the Digital Marketing Pro plugin. All marketing modules MUST check outputs against these rules before delivery. Rules are structured for programmatic consumption by the context engine.

---

Section 1: Geographic Privacy Laws

1.1 EU/EEA — General Data Protection Regulation (GDPR)

1.1b EU/EEA — AI Act Article 50 (Generative AI Disclosure)

1.1b.i — Article 50 draft implementing guidelines (May 2026)

The European Commission published draft implementing guidelines for Article 50 on 8 May 2026. The draft is open for public consultation until 3 June 2026; final guidelines are expected July 2026, ahead of the 2 August 2026 enforcement date. The draft clarifies the following points that brands should treat as the working interpretation today:

Action items for brands with EU exposure before 2 August 2026:

1. Audit your EU AI-asset inventory now. Catalogue any AI-generated image, video, audio, deepfake-style synthetic content, and AI-written long-form copy distributed to EU users in the last 12 months. Identify which carry C2PA and which don't.
2. File a consultation comment by 3 June 2026 if Article 50 will materially affect your operations. The Commission has explicitly asked for industry input on the "substantial manipulation" boundary and the carve-out scope. Brands in regulated sectors (health, finance, automotive, political adjacencies) should weigh in.
3. Lock in your C2PA signing-cert procurement. See docs/c2pa-production-cert-guide.md for the four recognised authorities. Allow 2–4 weeks for Adobe Content Credentials approval — start no later than 1 July 2026.
4. Update your Definition of Done. Any creative produced after 1 July 2026 for EU distribution should be C2PA-signed at production time, not retrofitted at publish time. The pre-publish gate (/digital-marketing-pro:check) blocks unsigned AI assets for EU-targeted campaigns.
5. Treat the carve-out as conditional, not a free pass. "Human-reviewed" requires named accountability. Don't claim editorial responsibility unless a named editor is willing to be on the record.

1.2 United States Federal — CAN-SPAM Act

1.3 California — CCPA / CPRA

1.4 US State Privacy Laws (Multi-State Summary)

1.5 Canada — CASL

1.6 Brazil — LGPD

1.7 United Kingdom — UK GDPR + PECR

1.8 Australia — Privacy Act + Spam Act

1.9 Singapore — PDPA

1.10 China — PIPL

1.11 India — DPDPA

1.12 Japan — APPI

1.13 South Korea — PIPA

1.14 Saudi Arabia — PDPL

1.15 UAE — Federal Decree-Law No. 45

1.16 Thailand — PDPA

---

Section 2: Industry-Specific Regulations

2.1 Healthcare — HIPAA / FDA

2.2 Finance — SEC / FINRA

2.3 Legal — Bar Association Rules

2.4 Alcohol — TTB

2.5 Cannabis — State Laws

2.6 Real Estate — Fair Housing Act

2.7 Education — FERPA

2.8 Children's Products — COPPA

2.9 Supplements — FDA / FTC

2.10 Tech / SaaS — SOC 2 / GDPR Processor Rules

---

Section 3: FTC Advertising Rules

3.1 FTC Endorsement Guides (Revised 2023)

3.2 FTC Consumer Review Fairness and Rule on Fake Reviews (2024)

3.3 Influencer Disclosure Requirements

3.4 AI-Generated Content Disclosure

3.5 Testimonial Rules

3.6 FTC Penalty Structure

---

Section 4: Platform-Specific Ad Policies

4.1 Google Ads

4.2 Meta Ads (Facebook / Instagram)

4.3 LinkedIn Ads

4.4 TikTok Ads

4.5 Amazon Ads

---

Section 5: Accessibility Requirements

5.1 WCAG 2.2 AA — Marketing Content Requirements

5.2 ADA Website Compliance

5.3 Email Accessibility Standards

---

Rule Application Reference

When the context engine evaluates marketing content, apply rules in this priority order:

1. Geographic law — Identify target audience jurisdiction(s) and apply ALL applicable privacy/consent rules
2. Industry regulation — Identify the advertiser's industry and apply sector-specific restrictions
3. FTC advertising rules — Apply to all US-targeted content regardless of industry
4. Platform policies — Apply the specific platform's rules for the distribution channel
5. Accessibility — Apply WCAG 2.2 AA and email accessibility standards to all outputs

When rules conflict, apply the most restrictive standard. When jurisdiction is unknown, default to GDPR + CPRA + FTC as the baseline.

Severity Levels

---

Supporting file: skills/context-engine/multilingual-execution-guide.md

Multilingual Marketing Execution Guide

End-to-end reference for planning, executing, and quality-assuring multilingual marketing campaigns. Covers translation service selection, cultural adaptation, RTL implementation, Indic and CJK specifics, SEO, and budget optimization.

---

1. End-to-End Multilingual Workflow

Every multilingual campaign follows this eight-step pipeline. Each step maps to a specific command and produces an artifact that feeds the next step.

Step 1: Language Configuration

Command: /digital-marketing-pro:language-config

Define the languages your brand operates in, set primary and secondary languages, and configure translation preferences in the brand profile.

language:
  primary: en-US
  secondary: [de-DE, fr-FR, es-ES, ja-JP, hi-IN]
  translation_preferences:
    default_service: auto          # let language-router decide
    force_service: null             # override: deepl | sarvam-ai | google-cloud-translation | lara-translate
    formality: formal               # formal | informal | auto
    glossary_enabled: true
    do_not_translate: ["BrandName", "ProductX", "ProSuite"]
  transcreation_triggers: [slogan, cta, headline, tagline, emotional_campaign]

Output: Updated brand profile with language block.

Step 2: Create Source Content

Author content in the primary language following brand voice guidelines. Tag each content piece with its type (technical, marketing, creative, legal) so the pipeline knows which translation approach to use downstream.

Step 3: Evaluate Source Content

Command: /digital-marketing-pro:eval-content

Score the source content for clarity, brand voice alignment, and translatability before spending money on translation. Ambiguous source text produces bad translations in every language.

Translatability checklist:

• No idioms that rely on source-language wordplay
• Short, clear sentences (aim for Flesch-Kincaid grade 8-10 for marketing copy)
• Cultural references flagged for adaptation
• Placeholders and variables clearly marked
• Brand terms from the do-not-translate list used consistently

Step 4: Translate

Command: /digital-marketing-pro:translate-content

The language-router.py script automatically selects the best translation service based on the target language family. Content tagged as requiring transcreation is routed to the transcreation workflow instead (see Section 4 and transcreation-framework.md).

Step 5: Score Translation Quality

Command: /digital-marketing-pro:multilingual-score

Automated quality scoring across five dimensions: meaning accuracy, fluency, terminology consistency, brand voice, and formatting. Scores below 70 are flagged for human review. Scores below 50 trigger re-translation with a different service.

Step 6: Localize Campaign Assets

Command: /digital-marketing-pro:localize-campaign

Beyond text translation, this step adapts:

• Date and time formats
• Currency and number formats
• Images and visual assets (text in images, cultural appropriateness)
• CTAs and conversion flows
• Payment methods and trust signals
• Platform-specific formatting (character limits, hashtags, handles)

Step 7: Language Audit

Command: /digital-marketing-pro:language-audit

Final quality gate before publishing. Checks:

• All target languages have complete translations (no missing strings)
• Glossary terms are consistent across all languages
• RTL languages have correct directional formatting
• hreflang tags are properly configured
• No source-language text leaking into translated assets
• Compliance and legal disclaimers present in all required languages

Step 8: Publish

Deploy localized assets to target platforms. Monitor performance per language/market and feed learnings back into the language configuration for the next cycle.

---

2. Translation Service Comparison

When to use each service

• DeepL: Default for European languages. Superior quality for DE, FR, ES, IT, NL, PL. Also strong for JA, KO, ZH. Use when formality control matters.
• Sarvam AI: Mandatory for Indic languages. Purpose-built models for Hindi, Tamil, Telugu, Bengali, Marathi, Gujarati, Kannada, Malayalam, Punjabi, and 13 other Indic languages. Handles script-specific nuances that general-purpose engines miss.
• Google Cloud Translation: Fallback for languages not well-served by DeepL or Sarvam. Primary choice for Arabic, Thai, Vietnamese, Indonesian, Swahili, and other languages outside European/Indic families.
• Lara Translate: Best for marketing content where brand voice preservation is critical. Translation Memory maintains consistency across campaigns. Use for high-visibility marketing copy when budget allows.

---

3. Language Routing Decision Tree

The language-router.py script automates service selection using this logic:

Input text + target language
    |
    v
Detect source language (if not specified)
    |
    v
Check brand profile for force_service override
    |-- If override set --> Use specified service
    |
    v
Determine target language family
    |
    |-- Indic (HI, TA, TE, BN, MR, GU, KN, ML, PA, OR, AS, UR, SD, NE, SI, etc.)
    |       --> Primary: Sarvam AI
    |       --> Fallback: Google Cloud Translation
    |
    |-- European (DE, FR, ES, IT, PT, NL, PL, RU, CS, DA, FI, SV, EL, HU, RO, SK, BG, etc.)
    |       --> Primary: DeepL
    |       --> Fallback: Lara Translate --> Google Cloud Translation
    |
    |-- CJK (JA, KO, ZH-CN, ZH-TW)
    |       --> Primary: DeepL
    |       --> Fallback: Google Cloud Translation
    |
    |-- Semitic (AR, HE)
    |       --> Primary: Google Cloud Translation
    |       --> Fallback: DeepL (limited support)
    |
    |-- Other (TH, VI, ID, MS, SW, TL, etc.)
    |       --> Primary: Google Cloud Translation
    |       --> Fallback: Lara Translate
    |
    v
Check content type
    |-- If transcreation_trigger (slogan, cta, headline, tagline, emotional_campaign)
    |       --> Route to transcreation workflow
    |       --> See transcreation-framework.md
    |
    v
Check glossary/do-not-translate list
    --> Protect brand terms before sending to API
    --> Restore after translation
    |
    v
Execute translation --> Score --> Return result

Overriding the router

Users can force a specific service in the brand profile:

translation_preferences:
  force_service: deepl    # bypass routing, always use DeepL

Or per-request via the translate command:

/digital-marketing-pro:translate-content --service=sarvam-ai --target=hi-IN

---

4. Transcreation Methodology

Transcreation is creative translation where the output may share no words with the original but achieves the same emotional and commercial goal. See transcreation-framework.md for the complete framework.

When to transcreate (not translate)

• Slogans and taglines
• Headlines and subject lines
• CTAs where emotion or urgency matters
• Humor, wordplay, puns, or double meanings
• Cultural references and idioms
• Emotional campaigns (fear, joy, nostalgia, aspiration)
• Content where rhythm, rhyme, or sound matters

When standard translation is sufficient

• Product specifications and data sheets
• Legal and compliance text
• FAQ and help center articles
• Internal communications
• Technical documentation

Quick process

1. Create a transcreation brief (intent, emotion, key message, constraints)
2. Generate 3-5 options in the target language (not translations, but original creations)
3. Score each option against the brief
4. Select and refine the winner
5. Validate with /digital-marketing-pro:multilingual-score and /digital-marketing-pro:prompt-test

---

5. Cultural Dimension Mapping (Hofstede Applied to Marketing)

Geert Hofstede's cultural dimensions provide a practical framework for adapting marketing messages across markets. Below is how each dimension affects marketing execution.

Individualism vs Collectivism

Power Distance

Uncertainty Avoidance

Long-Term Orientation

Indulgence vs Restraint

Practical application

When adapting a campaign for a new market, cross-reference the target country against these dimensions and adjust:

• CTAs: Urgency vs relationship vs authority
• Testimonials: Individual vs consensus vs expert
• Visual elements: Lifestyle vs product, individual vs group
• Urgency tactics: Direct urgency vs seasonal/appropriate timing
• Trust signals: Guarantees vs certifications vs social proof

---

6. RTL Implementation Checklist

For Arabic (AR), Hebrew (HE), Farsi/Persian (FA), and Urdu (UR).

Text and Layout

• Set dir="rtl" on the root container element
• Set lang attribute to the correct language code (e.g., lang="ar")
• Use CSS direction: rtl and text-align: right (or use logical properties: text-align: start)
• Replace margin-left/padding-right with logical properties: margin-inline-start/padding-inline-end
• Test that text wraps correctly in RTL mode
• Verify that bidirectional text (RTL with embedded LTR like English brand names) renders correctly using Unicode BiDi algorithm

Numbers and Data

• Numbers remain LTR within RTL text (this is automatic in most browsers)
• Phone numbers display in correct reading order
• Currency symbols position correctly (e.g., SAR amounts: "100 ر.س" with symbol on the left in RTL)
• Date formats match locale (Arabic: DD/MM/YYYY, Hebrew: DD.MM.YYYY)
• Percentage signs position correctly

Visual Elements

• Navigation menus flip to right-to-left order
• Breadcrumbs read right-to-left with reversed separators
• Progress bars and timelines reverse direction
• Directional icons (arrows, chevrons) mirror horizontally
• Non-directional icons (search, settings) do NOT mirror
• Checkmarks and universal symbols do NOT mirror
• Image compositions that imply direction (person looking forward, hand pointing) are evaluated for mirroring

Forms and Inputs

• Form labels align to the right
• Input fields align text to the right
• Validation messages appear on the correct side
• Submit/action buttons move to the left side (start position in RTL)
• Dropdown menus open in the correct direction

Email Templates

• HTML email uses dir="rtl" on the outer table
• Table-based layouts reverse column order
• Preheader text reads correctly in RTL email clients
• Test in Outlook (Windows), Apple Mail, Gmail (web and mobile), Yahoo Mail

Social Media

• Twitter/X: Supports RTL natively; test thread readability
• Facebook/Instagram: RTL text in captions renders correctly; test carousel direction
• LinkedIn: RTL article content may need manual formatting checks
• Platform-specific character limits may differ when mixing RTL and LTR scripts

---

7. Indic Language Marketing Guide

Covers Hindi (HI), Tamil (TA), Telugu (TE), Bengali (BN), Marathi (MR), Gujarati (GU), Kannada (KN), Malayalam (ML), and Punjabi (PA).

Script Rendering

Each Indic language uses a distinct script. Ensure:

• Fonts support the target script (Noto Sans is a safe cross-script family)
• Complex conjunct characters (ligatures) render correctly on all devices
• Line-breaking algorithms handle Indic scripts properly (some scripts have different word-boundary rules)
• Font sizes may need to be larger than Latin equivalents for readability (Devanagari, Tamil, and Malayalam typically need 10-15% larger sizes)

Transliteration Strategy

Use transliteration (writing Indic words in Latin script) for:

• Brand names that should remain recognizable: "BrandName" not "ब्रांडनेम"
• Technical terms without established Indic equivalents
• URLs, email addresses, and code snippets
• Hashtags (Latin script hashtags have broader reach)

Use native script for:

• Body copy and main messaging
• CTAs and buttons (native script builds trust with non-English audiences)
• Legal and compliance text
• Cultural and emotional content

Code-Switching (Hinglish and Mixed-Language Marketing)

Hindi-English code-switching (Hinglish) is the dominant communication style for urban Indian audiences aged 18-45. For many campaigns targeting Indian metros, Hinglish outperforms both pure Hindi and pure English.

Examples:

• Pure English: "Get 50% off on your first order"
• Pure Hindi: "अपने पहले ऑर्डर पर 50% की छूट पाएं"
• Hinglish: "Apne pehle order pe 50% off pao!" (often most effective for urban audiences)

Guidelines:

• Match code-switching level to audience: Metro urban (heavy Hinglish) vs Tier 2-3 cities (more Hindi) vs rural (pure regional language)
• Keep brand names and technical terms in English
• Use Devanagari script for Hindi-heavy Hinglish, Latin script for English-heavy Hinglish
• Test both approaches with /digital-marketing-pro:prompt-test

Regional Festival Calendar (Campaign Timing)

Sarvam AI Capabilities by Language

Sarvam AI provides purpose-built models for Indic languages with:

• Native text generation (not just translation from English)
• Speech-to-text and text-to-speech for voice campaigns
• Transliteration support
• Cultural context awareness in translations
• Support for all 22 scheduled languages of India

Best results: Hindi, Tamil, Telugu, Bengali, Marathi. Good results: Gujarati, Kannada, Malayalam, Punjabi. Expanding: Odia, Assamese, Urdu.

Social Media Platform Preferences

Payment and E-commerce Localization

• UPI is the dominant digital payment method; display UPI as a primary option
• Cash on Delivery (COD) remains important in Tier 2-3 cities and for first-time online buyers
• Display prices in INR with proper formatting: ₹1,00,000 (Indian numbering: lakhs and crores, not millions)
• EMI (equated monthly installment) options significantly boost conversion for high-value purchases
• Include local payment wallets: Paytm, PhonePe, Google Pay

---

8. CJK Considerations

Japanese (JA)

Writing system: Japanese uses three scripts simultaneously: Kanji (Chinese characters), Hiragana (native syllabary), and Katakana (used for foreign words, emphasis, onomatopoeia). Marketing copy must use the correct mix.

• Katakana for foreign brand names and loanwords: マーケティング (marketing), ブランド (brand)
• Kanji + Hiragana for native Japanese phrasing
• Character limits differ from word limits: A 280-character tweet holds roughly 140 words of meaning in Japanese vs 40-50 in English

Honorific levels (Keigo): Japanese has three formality levels that fundamentally change sentence structure:

• Teineigo (丁寧語): Polite — standard for B2C marketing
• Sonkeigo (尊敬語): Respectful — for referring to the customer's actions
• Kenjougo (謙譲語): Humble — for referring to your company's actions
• Getting keigo wrong is a serious brand credibility issue. Always have a native speaker review.

Seasonal references: Japanese marketing is deeply tied to seasons (四季). Spring (sakura themes, new beginnings), Summer (festivals, refreshment), Autumn (harvest, warmth), Winter (year-end, gratitude). Campaigns that ignore seasonal context feel tone-deaf.

Optimization: Google Japan dominates search. Yahoo! Japan (powered by Google) has a separate display ad network. LINE is the dominant messaging platform (not WhatsApp or Facebook Messenger).

Korean (KO)

Hangul typography: Korean uses the Hangul alphabet with syllable blocks. Ensure:

• Font supports all Hangul syllable combinations (11,172 possible blocks)
• Line height accommodates taller character blocks
• Mixed Hangul-Latin text has consistent baseline alignment

Politeness levels: Korean has seven speech levels. Marketing typically uses:

• Hapsyo-che (합쇼체): Formal polite — corporate, luxury, B2B
• Haeyo-che (해요체): Informal polite — most B2C marketing, friendly but respectful
• Hae-che (해체): Casual — youth brands, social media, peer-level tone
• Mixing levels within a campaign is a serious tone error.

Platform optimization: Naver dominates search (not Google). Kakao dominates messaging and commerce. Coupang dominates e-commerce. Optimize for these platforms first, Google second.

Cultural notes: Age hierarchy matters in testimonials (older endorsers carry authority). K-beauty and K-pop references resonate broadly but must feel authentic. "Made in Korea" is a strong trust signal in beauty and technology.

Chinese (ZH)

Simplified vs Traditional:

• Simplified Chinese (ZH-CN): Mainland China, Singapore, Malaysia
• Traditional Chinese (ZH-TW): Taiwan, Hong Kong, Macau
• These are NOT just font variants. Vocabulary, idioms, and cultural references differ significantly. Content for Taiwan should not be Simplified Chinese with Traditional characters swapped in.

Character counting: Chinese uses characters, not words. One Chinese character typically conveys the meaning of 1-2 English words. A 500-word English article might translate to 800-1200 Chinese characters. Platform character limits must be recalculated.

Platform ecosystem:

• Search: Baidu (mainland), Google (TW/HK)
• Social: WeChat (dominant super-app), Weibo (microblogging), Xiaohongshu/RED (lifestyle/commerce), Douyin (TikTok's Chinese version)
• E-commerce: Taobao, Tmall, JD.com, Pinduoduo
• Each platform has unique content formats, character limits, and advertising systems

Baidu SEO: Different ranking factors than Google. Prioritizes: .cn domains, ICP filing (required for mainland hosting), Baidu Webmaster Tools verification, Baidu-specific structured data, Chinese-language backlinks.

Regulatory: Advertising Law of the PRC prohibits superlatives ("best", "most", "first", "number one") unless substantiated by a third-party authority. This affects all marketing copy for mainland China.

---

9. Brand Glossary Management

A brand glossary ensures that key terms are translated consistently across all languages and all campaigns.

Do-Not-Translate List

Store in the brand profile:

language:
  do_not_translate:
    - "BrandName"
    - "ProductX"
    - "ProSuite"
    - "SmartDash"
    - "AI-Powered"    # keep English in all markets where appropriate

The language-router.py script wraps these terms in placeholder tokens before sending text to translation APIs, then restores them afterward. This prevents translation engines from translating brand names or product names.

Approved Translations

For terms that should be translated but must use a specific approved translation:

language:
  glossary:
    "customer success":
      de: "Kundenerfolg"
      fr: "succès client"
      ja: "カスタマーサクセス"    # katakana loanword preferred over translation
      hi: "ग्राहक सफलता"
    "dashboard":
      de: "Dashboard"           # keep English loanword
      fr: "tableau de bord"
      ja: "ダッシュボード"
      hi: "डैशबोर्ड"            # transliteration preferred

Glossary Maintenance

• Review glossary quarterly or when entering new markets
• When a new product or feature launches, add terms to the glossary before translation begins
• The /digital-marketing-pro:multilingual-score command checks glossary adherence and flags inconsistencies
• Export glossary in TBX format for use with external translation tools

---

10. Multilingual SEO Execution

Localized Keyword Research

Never just translate keywords. The same concept may be searched with completely different terms in different languages.

Process:

1. Start with seed keywords in the source language
2. Translate seeds as a starting point
3. Use local keyword research tools to discover what people actually search:
   • Google Keyword Planner (set to target country)
   • Baidu Keyword Planner (for ZH-CN)
   • Naver Keyword Tool (for KO)
   • Yandex Wordstat (for RU)
4. Analyze local competitor rankings for target terms
5. Check search volume and competition in the target market (not just translated terms)
6. Build a per-language keyword map

Example: "affordable CRM software"

• DE: "CRM Software kostenlos" (free) or "günstiges CRM" (affordable) — different search intent
• JP: "CRM ツール 比較" (CRM tool comparison) — comparison intent dominates
• FR: "logiciel CRM gratuit" (free CRM software) — "gratuit" is a stronger search trigger than "abordable"

hreflang Implementation

Every multilingual page must have hreflang tags linking all language variants:

<link rel="alternate" hreflang="en-US" href="https://example.com/en-us/page" />
<link rel="alternate" hreflang="de-DE" href="https://example.com/de-de/seite" />
<link rel="alternate" hreflang="ja" href="https://example.com/ja/page" />
<link rel="alternate" hreflang="x-default" href="https://example.com/en-us/page" />

Rules:

• x-default points to the fallback page (usually en-US or a language-selector page)
• Use language-region codes where relevant (en-US vs en-GB, zh-CN vs zh-TW, pt-BR vs pt-PT)
• hreflang must be reciprocal: if page A references page B, page B must reference page A
• Use /digital-marketing-pro:hreflang-check to audit implementation and detect orphaned or broken references

International Sitemaps

• Create per-language sitemaps: sitemap-en.xml, sitemap-de.xml, sitemap-ja.xml
• Or use a single sitemap with xhtml:link alternates per URL
• Set geo-targeting in Google Search Console for country-specific subdomains or subdirectories
• Submit sitemaps to local search engines: Baidu Webmaster Tools, Yandex Webmaster, Naver Search Advisor

Search Engine-Specific Optimization

---

11. Quality Assurance for Translations

Reviewer Checklist

For every translated piece before publication:

• Meaning accuracy: Does the translation convey the same meaning as the source?
• Cultural appropriateness: Are there any cultural missteps, insensitive references, or inappropriate imagery?
• Brand voice: Does the translation match the brand's established voice in this language?
• Formatting: Are dates, numbers, currencies, and measurements in the correct local format?
• Placeholders: Are all dynamic variables (names, numbers, URLs) intact and correctly positioned?
• Completeness: Is any content missing or truncated?
• Compliance: Are legal disclaimers, privacy notices, and regulatory text present and accurate?
• Technical: Do links work? Are character limits respected? Does it render correctly?

Common Machine Translation Errors

Post-Editing Guidelines

Light Post-Edit (PE): Fix only errors that block comprehension or damage brand.

• Fix: Factual errors, offensive content, broken formatting, missing translations
• Leave: Awkward but understandable phrasing, stylistic imperfections
• Use for: Internal comms, knowledge base, low-visibility content
• Speed: 5,000-8,000 words/hour

Full Post-Edit (PE): Fix all errors to achieve publication quality.

• Fix: Everything in light PE plus fluency, style, brand voice, cultural fit
• The output should be indistinguishable from human-written content
• Use for: Marketing emails, blog posts, social media, product pages
• Speed: 1,500-3,000 words/hour

---

12. Budget Optimization

Translation Approach Decision Matrix

Cost-Saving Strategies

1. Tier your content: Not everything needs transcreation. Classify content by visibility and emotional weight, then assign the appropriate approach.
2. Invest in glossaries: Upfront glossary creation saves money on every subsequent translation by reducing reviewer corrections.
3. Reuse Translation Memory: Lara Translate's TM means repeated or similar content gets cheaper over time. Prioritize consistency to maximize TM leverage.
4. Batch translations: Sending content in batches rather than one-off requests reduces per-unit cost across all services.
5. Source content quality: Spend time making source content clear and translatable. Ambiguous source text causes expensive corrections downstream.
6. Automate quality scoring: Use /digital-marketing-pro:multilingual-score to catch issues before human review, reducing reviewer time.

ROI Tracking

Track per-language:

• Translation spend per content piece
• Performance metrics (CTR, conversion, engagement) per language
• Cost per conversion by language
• Compare MT-only vs MT+PE vs transcreation performance for similar content types
• Feed results back into the decision matrix to optimize spend allocation

---

Supporting file: skills/context-engine/transcreation-framework.md

Transcreation Framework

Comprehensive framework for transcreating marketing content across languages and cultures. Transcreation goes beyond translation — it recreates the emotional impact and commercial intent of content for a new audience, even if the words are entirely different.

---

1. Transcreation vs Translation vs Localization Decision Matrix

Decision Criteria

Ask these three questions about each piece of content:

1. Is it factual or emotional? Factual content (specs, legal, data) gets translated. Emotional content (slogans, campaigns) gets transcreated.

2. Does it reference cultural elements? If it mentions holidays, cultural norms, humor, or local customs, it needs at minimum localization. If those cultural elements ARE the message (humor-driven ad, culturally-specific metaphor), it needs transcreation.

3. Does it rely on wordplay, rhythm, or sound? Any content where the impact depends on how it sounds in the source language (rhymes, puns, alliteration, double meanings) must be transcreated because the linguistic mechanics cannot transfer.

Rule of thumb: If changing the words would destroy the value, translate. If changing the cultural frame would destroy the value, localize. If changing the feeling would destroy the value, transcreate.

---

2. Transcreation Brief Template

Every piece of content requiring transcreation needs a brief. This brief is the single most important document in the transcreation process — it tells the target-language copywriter what to achieve without constraining how they achieve it.

## Transcreation Brief

### Source Content
[The original text exactly as written]

### Intent
[What is this content trying to DO? Inform, persuade, excite, reassure, create urgency, build trust, entertain, inspire?]

### Emotional Goal
[How should the reader FEEL after reading this? Confident, curious, urgent, inspired, amused, reassured, excited, empowered?]

### Key Message
[The ONE core idea that MUST survive transcreation, even if every word changes. Express this as a concept, not as text.]

### Cultural Context
[Why does this content work in the source culture? What assumptions, references, or cultural knowledge does it rely on?]

### Target Audience
- Demographics: [Age, gender, income, education, location]
- Psychographics: [Values, interests, lifestyle, media consumption]
- Cultural references they understand: [Pop culture, local humor, shared experiences]
- Their relationship with the brand: [New, familiar, loyal]

### Brand Voice in Target Market
[How does the brand sound in this specific market? This may differ from the source market brand voice. A brand that sounds "bold and irreverent" in the US might sound "confident and innovative" in Japan.]

### Constraints
- Character/word limits: [Platform-specific limits]
- Legal/compliance: [Required disclaimers, prohibited claims]
- Visual context: [What appears alongside this text — image, video, layout]
- Format: [Headline, body copy, CTA, social post, email subject line]

### Do-Not-Translate Terms
[Brand names, product names, technical terms that must remain in the source language or use an approved translation from the glossary]

### Reference Materials
[Links to brand guidelines, previous transcreations in this language, competitor examples in this market]

---

3. Cultural Adaptation Dimensions with Regional Examples

Humor

Social Proof

Urgency Tactics

Trust Signals

Color Psychology Variations

---

4. Common Pitfalls

Linguistic Pitfalls

• Literal idiom translation: "It's raining cats and dogs" becomes meaningless or absurd in most languages. Every idiom must be replaced with a culturally equivalent expression or rewritten.
• False friends: Words that look similar across languages but mean different things. "Gift" means poison in German. "Actual" means current in Spanish. "Preservative" means condom in French.
• Tone/register mismatch: Using informal language in a formal market or vice versa. Japanese marketing in the wrong keigo level damages brand credibility. French copy using "tu" when "vous" is expected feels disrespectful.
• Gendered language: Many languages have grammatical gender that affects adjectives, articles, and verb forms. "Your account is ready" may need different translations depending on whether the user is male or female — or the copy must be restructured to avoid the issue.

Cultural Pitfalls

• Hand gestures and body language in imagery: Thumbs-up is offensive in parts of the Middle East. OK sign is vulgar in Brazil. Pointing with one finger is rude in many Asian cultures. Audit all visual assets.
• Religious symbols and references: Cross, crescent, Om — using religious imagery in marketing is risky. Even secular references ("Christmas sale") may exclude or offend in multi-faith markets.
• Calendar assumptions: Not all markets follow the Gregorian calendar for business (Islamic calendar, Chinese lunisolar calendar). Fiscal years differ. Work weeks differ (Sunday-Thursday in much of the Middle East).
• Food and dietary references: Pork references inappropriate in Muslim and Jewish markets. Beef references sensitive in Hindu markets. Alcohol references prohibited in many markets.

Formatting Pitfalls

• Number formatting: 1,000.00 (US/UK) vs 1.000,00 (DE/FR/BR) vs 1 000,00 (FR sometimes) vs 1,000.00 (JP). Get this wrong in pricing and you have a serious problem.
• Name ordering: First-Last (Western) vs Last-First (JP, KR, CN, HU). Form fields, greetings, and personalization must adapt.
• Address formatting: Varies wildly. Japan goes from large to small (postal code, prefecture, city, ward, block, building, name). US goes small to large (name, street, city, state, zip).
• Measurement units: Imperial (US) vs Metric (nearly everyone else). Always convert. Don't assume.
• Paper sizes: A4 (international) vs Letter (US/CA). Affects PDF layouts, print collateral.

---

5. CTA Transcreation Guide

CTAs are one of the highest-impact areas for transcreation. A direct translation of "Buy Now" can feel aggressive, weak, or culturally inappropriate depending on the market.

By Cultural Approach

Direct urgency (US, UK, AU)

• "Get Started Now"
• "Don't Miss Out"
• "Limited Time Offer"
• "Claim Your Free Trial"
• "Shop the Sale"
• Characteristics: Action verbs, time pressure, individual benefit, imperative mood

Relationship-oriented (JP, KR)

• "Let's begin together" (一緒に始めましょう)
• "Join our community"
• "We're here when you're ready" (ご準備ができましたら)
• "Learn more at your pace"
• Characteristics: Inclusive language, no pressure, respect for the reader's autonomy, polite forms

Authority-driven (DE, AT, CH)

• "Expert-recommended solution" (Von Experten empfohlen)
• "Certified and tested" (Zertifiziert und geprüft)
• "Proven by [authority]"
• "Request your consultation" (Beratung anfordern)
• Characteristics: Credibility, evidence, formal tone, factual claims

Value-centered (IN, SEA)

• "Best value for your family"
• "Smart choice for smart shoppers"
• "Save more today"
• "Special family offer"
• Characteristics: Savings emphasis, family benefit, practical value, inclusive

Elegance-focused (FR, IT)

• "Discover" (Decouvrez)
• "Experience the difference" (Vivez la difference)
• "Elevate your routine"
• "Explore our collection"
• Characteristics: Sophistication, invitation, sensory language, no hard sell

Community-driven (BR, LATAM)

• "Join thousands who already..."
• "Recommended by friends like you"
• "For you and your loved ones"
• "Be part of something special"
• Characteristics: Social proof, warmth, community belonging, personal connection

CTA Length Considerations

Different languages have different natural CTA lengths:

• English: 2-5 words ("Get Started Free")
• German: 3-6 words, often longer due to compound words ("Jetzt kostenlos starten")
• Japanese: 5-15 characters, sometimes shorter in meaning ("今すぐ始める")
• Arabic: May be longer due to verb conjugation patterns; RTL button width must accommodate

Always design button and CTA containers with flexible widths when building multilingual templates.

---

6. Headline and Slogan Transcreation: 5-Step Process

Step 1: Deconstruct the Original

Break down the source content into its component parts:

• Literal meaning: What do the words say?
• Emotional meaning: What do the words make you feel?
• Wordplay: Is there a pun, double meaning, rhyme, alliteration, or rhythm?
• Cultural reference: Does it reference something specific to the source culture?
• Brand connection: How does it connect to the brand's identity and positioning?

Example — "Think Different" (Apple):

• Literal: Consider unconventional ideas
• Emotional: Empowerment, rebellion, creativity, confidence
• Wordplay: Grammatically unexpected ("different" as adverb), creates pause
• Cultural reference: Counterculture, Silicon Valley innovation ethos
• Brand connection: Apple as the choice of creative nonconformists

Step 2: Create the Brief

Document what the transcreation must achieve (not what it must say). Use the Transcreation Brief Template from Section 2. The brief for "Think Different" might say:

• Intent: Position the brand as the choice of creative, independent thinkers
• Emotional goal: Empowerment, confidence in being unconventional
• Key message: Using this brand means you see the world differently (and that's a good thing)
• Constraints: Must be 2-4 words, work as a visual tagline, pair with portrait imagery

Step 3: Create 3-5 Options in the Target Language

The copywriter creates original options in the target language. These are NOT translations — they are new creative executions that achieve the brief's goals.

Example for Japanese:

1. "異なる考え方" (A different way of thinking) — direct, minimal
2. "常識を超えろ" (Surpass common sense) — imperative, bold
3. "自分らしく考える" (Think in your own way) — personal, empowering
4. "型にはまるな" (Don't fit the mold) — rebellious, colloquial

Step 4: Evaluate Each Option

Score each option against these criteria:

Step 5: Test and Validate

• Use /digital-marketing-pro:multilingual-score to get automated quality scoring
• Use /digital-marketing-pro:prompt-test to A/B test variants with audience descriptions
• Have a native speaker from the target market review the shortlisted option
• Test in context (mockup with actual layout, imagery, and surrounding content)

Real-World Before/After Examples

Nike "Just Do It"

• China: "用运动征服一切" (Conquer everything through sport) — shifted from individual willpower to achievement through action, resonating with collectivist achievement values
• Japan: "ただやれ" was NOT used (too blunt). Campaigns use longer aspirational copy instead.
• Germany: "Just Do It" kept in English — the English phrase carries aspirational, international cachet

McDonald's "I'm Lovin' It"

• China: "我就喜欢" (I just like it) — simplified the emotion to a natural Chinese expression of casual preference
• Germany: "Ich liebe es" (I love it) — direct translation worked because the sentiment is universal and the melody carried
• Japan: Used the English tagline with Japanese pronunciation, leveraging Western brand appeal

De Beers "A Diamond Is Forever"

• China: "钻石恒久远，一颗永流传" (A diamond lasts forever, one piece passed on eternally) — added the concept of generational legacy, deeply resonant in Chinese culture
• Japan: "ダイヤモンドは永遠の輝き" (A diamond is an eternal sparkle) — shifted from permanence to beauty, aligning with aesthetic values

---

7. Humor in Translation

What Transfers Across Languages

• Visual humor: Sight gags, unexpected visuals, visual metaphors — these work across cultures because they don't depend on language
• Universal situations: Spilling coffee, alarm clocks, Monday mornings, pets being mischievous — shared human experiences that need minimal adaptation
• Exaggeration of common experiences: "That feeling when..." content often transfers because the underlying situation is universal
• Physical comedy references: Slapstick-style humor described in text can often be translated directly

What Does NOT Transfer

• Puns and wordplay: By definition, puns depend on the mechanics of a specific language. They must be replaced with equivalent wordplay in the target language or replaced with a different humor mechanism entirely.
• Sarcasm: Sarcasm is beloved in US/UK/AU marketing but confuses or offends in many Asian and Middle Eastern markets. Japanese, Korean, and Chinese audiences may interpret sarcastic statements literally.
• Pop culture references: A reference to a TV show, movie, or celebrity that's unknown in the target market falls completely flat. Replace with a locally relevant reference that serves the same function.
• Slang and colloquialisms: "That's fire" or "no cap" are generation-specific, language-specific, and often untranslatable. Use target-language slang that conveys the same energy.
• Double entendres: Sexual or suggestive wordplay has vastly different acceptability across cultures. What's playfully edgy in Brazil may be offensive in Saudi Arabia or simply confusing in Japan.

Decision Framework for Humor Transfer

Is the humor based on language mechanics (pun, wordplay, rhyme)?
  YES → Must be fully transcreated. Create new humor in target language.
  NO  ↓

Is the humor based on a cultural reference (TV show, celebrity, historical event)?
  YES → Replace with equivalent local reference that serves the same function.
  NO  ↓

Is the humor based on a universal situation or visual?
  YES → Likely translatable with minor adaptation. Test with native speaker.
  NO  ↓

Is the humor based on tone (sarcasm, irony, understatement)?
  YES → Check cultural compatibility. Sarcasm does NOT work in JP, KR, CN, most of SEA.
        Replace with culturally appropriate tone: warmth, cleverness, or surprise.

Safe Alternatives When Humor Doesn't Transfer

When the source humor mechanism won't work in the target culture, replace it with:

• Warmth: A genuine, friendly tone that creates positive feeling without trying to be funny
• Cleverness: A smart observation or unexpected connection that makes the reader feel intelligent
• Surprise: An unexpected twist that delights without relying on language-specific humor
• Relatability: "We've all been there" content that creates connection through shared experience
• Charm: Light, pleasant, endearing tone that creates goodwill without explicit jokes

---

8. Quality Rubric for Transcreated Content

Score transcreated content across five dimensions on a 0-100 scale.

Dimension 1: Intent Preservation (30% weight)

Does the transcreated version achieve the same communication goal as the original?

Dimension 2: Cultural Resonance (25% weight)

Does the content feel native to the target culture?

Dimension 3: Brand Voice (20% weight)

Does the transcreation maintain the brand's personality as adapted for this market?

Dimension 4: Creativity (15% weight)

Is the transcreation well-crafted, memorable, and engaging in the target language?

Dimension 5: Constraint Compliance (10% weight)

Does the transcreation meet all technical and legal requirements?

Scoring Thresholds

Using the Rubric

1. Score each dimension independently
2. Apply weights: (Intent x 0.30) + (Cultural x 0.25) + (Voice x 0.20) + (Creativity x 0.15) + (Constraints x 0.10)
3. Compare against thresholds
4. Document scores and feedback for the transcreation team to improve over time
5. Use /digital-marketing-pro:multilingual-score for automated pre-screening before human rubric evaluation