Choosing which languages your app should support involves more than intuition. Modern teams have access to device locale data, market growth metrics, and user behavior analytics that can guide these decisions.
The key is building a systematic approach rather than translating everything at once or supporting languages based solely on competitor analysis.
The data tells a clear story about language preferences:
Your next growth wave likely comes from users whose primary language isn't English.
Effective localization starts with understanding language tiers based on market reach, user spending power, and growth trajectory.
These languages provide the broadest reach across established mobile markets:
Tier 1 languages offer predictable ROI and cover a significant portion of global mobile spending.
These markets show strong growth rates with increasing mobile adoption:
Tier 2 languages represent emerging opportunities where competition remains manageable but user bases are expanding rapidly.
Smaller markets with strong purchasing power, particularly valuable for specific app categories:
Tier 3 works well for subscription apps, fintech, productivity tools, and B2B applications.
The basic formula for localization return on investment:
ROI = (Target Users × ARPU × Conversion Lift) − Localization Cost
Modern AI localization platforms have significantly reduced costs, making the ROI calculation more favorable. Even modest engagement improvements in markets like Latin America can justify localization costs within weeks.
For detailed cost analysis, see our guide on mobile app localization costs and best practices.
Most apps already have untapped global demand visible through device locale data. This analytics approach reveals:
Device locale analytics answer the critical question: "Which languages should we support first based on our actual user data?" rather than generic market research.
Your app might need Indonesian before Korean, or Spanish might represent a significant hidden growth opportunity. The data makes these decisions clearer.
Rather than localizing entire apps immediately, focus on high-impact user flows:
This approach allows you to test market response, measure conversion improvements, and expand systematically. For implementation guidance, check our developer's guide to app localization.
Choose your approach based on business objectives:
For broad reach and predictable growth:
Start with Tier 1 languages, particularly Spanish, Portuguese (Brazil), and Chinese.
For rapid growth in emerging markets:
Add Tier 2 languages, focusing on Arabic, Hindi, and Indonesian.
For high-value user acquisition:
Target Tier 3 languages based on your app category and monetization model.
For data-driven decisions:
Analyze your device language analytics to identify specific opportunities within your existing user base.
Several trends are shaping language priorities:
App Store optimization also plays a crucial role—localizing your app store listing often provides the fastest path to increased installs in new markets.
Starting from zero:
Begin with Spanish, Portuguese (Brazil), Simplified Chinese, Japanese, German, and French.
Seeing traction in emerging markets:
Prioritize Arabic, Hindi, Indonesian, and Turkish.
Optimizing for revenue:
Focus on Tier 3 languages based on your app category and average revenue per user.
Data-driven approach:
Use device locale analytics to identify which languages your existing users prefer, then prioritize based on user volume and engagement metrics.
The most successful language strategies combine market research with actual user data to make informed expansion decisions rather than following generic best practices.
