What Is Localization?
Store listing localization is the process of adapting your app's store page (title, description, screenshots, keywords) for different languages and cultures. It is not direct translation — it means re-optimizing content based on each market's search behavior, cultural norms, and language structure.
Why Is It So Important?
- App Store and Google Play operate in 175+ countries
- 72% of users prefer searching for apps in their own language
- Localized apps get 30-80% more downloads (AppTweak data)
- It opens the door to low-competition markets that many developers ignore
- Apple and Google prioritize localized listings in search results
Translation vs Localization
| Approach | What It Does | Result |
|---|---|---|
| Translation | Converts text word-for-word to another language | Keyword mismatch, low CTR |
| Localization | Adapts to culture, search behavior, and market | Right keywords, high conversion |
Example
- English: "AI Photo Editor — Selfie Filters"
- Japanese translation: "AI写真エディタ — セルフィーフィルター" (word-for-word)
- Japanese localization: "AI写真加工 — 自撮り美肌カメラ" (terms Japanese users actually search for)
The second version is far more effective because "写真加工" (photo processing) and "美肌" (beautiful skin) are much more commonly searched terms in Japan.
Which Fields Should Be Localized?
Apple App Store
- App Name (30 characters) — optimize for each language's keyword structure
- Subtitle (30 characters) — secondary keywords vary by market
- Keywords (100 characters) — must be written entirely based on local search terms
- Description (4,000 characters) — Apple doesn't index it, but it affects conversion
- Promotional Text (170 characters) — no review required, update frequently
- Screenshots — translate text overlays, adapt cultural references
Google Play Store
- App Name (30 characters) — highest keyword weight field
- Short Description (80 characters) — INDEXED, critical for keywords
- Full Description (4,000 characters) — INDEXED, keywords should be naturally placed
- Screenshots — localize text in visuals
Step-by-Step Localization Process
1. Identify Target Markets
- Check your existing organic traffic data (which countries are showing interest?)
- Research which languages your competitors have localized into
- Evaluate market size and competition level
- Prioritize markets with high potential and low competition
2. Keyword Research (Separate for Each Language)
- Do NOT directly translate keywords — conduct separate keyword research per language
- Look at search volume data for that language
- Analyze keywords used by local competitors
- Consider cultural differences (the same concept may be searched with different words)
3. Localize the Content
- Use professional translators or AI-powered localization tools
- Be careful to protect brand names (don't translate them!)
- Check character limits for each language (some languages require longer expressions)
- Adapt cultural references
4. Adapt Visual Assets
- Translate text in screenshots
- Adapt date/time formats (MM/DD vs DD/MM)
- Update currency symbols
- Adjust layout for right-to-left languages (Arabic, Hebrew)
5. Quality Control
- Native speaker review (if possible)
- Character limit overflow check
- Hyphen/dash check (ASO best practice: don't use them)
- Verify brand names are preserved
- Check for placeholder and variable errors
Important Considerations
Character Limits Vary by Language
The same meaning requires different character counts in different languages:
- German is typically 20-30% longer than English
- Chinese/Japanese is shorter (more meaning per character)
- Turkish may be longer due to its agglutinative structure
Don't Use Hyphens
- Hyphens in Apple and Google algorithms can cause keyword splitting
- Use "Photo Editor" instead of "Photo-Editor"
- This rule applies to ALL languages
Don't Translate Brand Names
- Brand names like "Szelfie", "Instagram", "TikTok" should stay the same in every language
- Some languages may have different phonetic spellings, but keep the official spelling
Tools
| Tool | Type | Features |
|---|---|---|
| ASO Localization | Free, open-source | 61 languages, AI + direct translation, quality checks, Apple + Google export |
| AppTweak | Paid SaaS | Keyword research, localization suggestions |
| Phrase (Memsource) | Paid SaaS | Professional translation management |
| OneSky | Paid SaaS | App localization platform |
ASO Localization (Free & Open Source)
A desktop application designed specifically for indie developers and small teams. Completely free and open-source. It performs real localization, not just translation — AI-powered engines adapt your content to each market's culture and search behavior.
Key features:
- 5 translation engines: Claude AI, OpenAI, Google Translate (free + API), DeepL
- 61 languages supported (Americas, Europe, Asia-Pacific, Middle East & Africa)
- Apple App Store + Google Play field templates side by side
- 4 quality checks: Character limits, hyphen detection, brand protection, missing translations
- 4 export formats: Apple .strings, Google Play CSV, JSON, folder structure
- Fully offline — your data never leaves your device
- MIT license — free for commercial use
Download for Windows (v1.0.0) | GitHub
Prioritization: Which Languages First?
Tier 1 (Highest ROI)
English (US), Japanese, Korean, German, French, Portuguese (Brazil)
Tier 2 (High potential)
Spanish, Italian, Simplified Chinese, Russian, Turkish, Arabic
Tier 3 (Long-term)
Hindi, Thai, Vietnamese, Indonesian, Polish, Dutch
Track Your Results
- Monitor keyword rankings separately for each language
- Compare country-level download/impression data
- Measure conversion rate changes before and after localization
- Update keyword strategy for underperforming languages
- Add more keyword variations for successful languages
Store listing localization is one of the lowest-cost, highest-ROI ASO strategies. Since most developers skip it, those who do it gain a significant competitive advantage.