Overview
MAX (AppLovin) and LevelPlay (ironSource/Unity) are the two dominant mediation platforms for mobile apps. Both offer in-app bidding, waterfall management, and integrations with major ad networks. Choosing between them can significantly impact your ad revenue.
Feature Comparison
| Feature | MAX (AppLovin) | LevelPlay (ironSource) |
|---|---|---|
| In-App Bidding | Excellent | Excellent Pioneer |
| Network Partners | 25+ bidders | 20+ bidders |
| Waterfall Management | Good | Excellent Winner |
| A/B Testing | Built-in Winner | Available |
| Analytics | Comprehensive | Comprehensive |
| Cross-Promotion | Good | Excellent Winner |
| SDK Size | Lighter Winner | Heavier |
| Revenue Optimization | Excellent | Excellent |
MAX Strengths
- AppLovin demand: Access to AppLovin's large advertiser base
- A/B testing: Built-in tools for testing mediation setups
- Lighter SDK: Smaller footprint on app size
- Transparent auctions: Clear bidding visibility
- User-friendly: Intuitive dashboard interface
LevelPlay Strengths
- Bidding pioneer: Most mature bidding technology
- Waterfall expertise: Advanced waterfall optimization tools
- Cross-promotion: Best-in-class cross-promo for game portfolios
- Ad quality: Superior ad filtering and brand safety
- Gaming optimization: Deep gaming-specific features
Revenue Performance
Both platforms deliver competitive eCPMs when properly configured:
- Rewarded video: Similar performance, varies by region
- Interstitial: LevelPlay often edges MAX
- Banner: MAX competitive on fill rates
- Overall: 5-15% revenue variance typical between them
Integration Considerations
Choose MAX When:
- You're already using AppLovin for UA
- App size is a critical concern
- You want built-in A/B testing
- Non-gaming app with diverse ad formats
Choose LevelPlay When:
- You have a game portfolio needing cross-promo
- Waterfall optimization is important
- You're using Unity for development
- Ad quality filtering is a priority
Migration Tips
Switching mediation platforms requires careful planning:
- Run both in parallel during transition
- A/B test with user segments
- Allow 2-4 weeks to compare results
- Consider seasonal revenue variations