Client Background
A leading mobility platform in China, providing integrated travel services (public transit, metro, bike-sharing) with 50 million cumulative users and 3 million DAU. As a high-frequency utility app, it prioritized balancing user experience with efficient ad monetization.
Monetization Challenges
Low Fill Rate Efficiency
Over-reliance on single ad sources caused significant fill rate fluctuations, leading to unstable revenue.
Delayed Strategy Optimization
Lack of real-time data impeded rapid response to market changes, missing high-value ad opportunities.
Balancing UX and Revenue
High daily app usage required precise ad frequency control to avoid disrupting user journeys.
Solution:
Mediatom’s Neutral Aggregation SDK
Multi-Source A/B Testing
Tested 5 top ad platforms (Pangle, Tencent Ads, Kuaishou, etc.) across core scenarios: splash screens, post-trip pages, and reward centers.
Dynamic Optimization
Prioritized top-performing ad sources and automatically phased out underperformers.
Real-Time Data Dashboards
Monitored per-ad-unit metrics (impressions, eCPM, ARPU) with minute-level granularity.
Intelligent Alerts
Auto-detected anomalies (e.g., fill rate drops) and recommended fixes (e.g., adjusting waterfall floor prices).
User Segmentation & Frequency Capping
High-value users: Reduced ad frequency.
Mid/low-value users: Deployed rewarded videos.
Optimized interstitial triggers via A/B testing (e.g., "1 ad per 3 trips").
Results
50% ARPDAU Increase
User ad revenue rose from 0.012to0.018.
99%+ Stable Fill Rate
Multi-source parallel requests reduced volatility to <5%.
Zero User Complaints
Retention remained stable; engagement increased 8% in key scenarios.
"Mediatom’s neutrality and technical capabilities were pivotal. Its A/B testing tools and real-time reports enabled rapid optimization without manual data processing. We achieved a true win-win for user experience and revenue."
— Monetization Lead, Mobility Platform