The mobile advertising ecosystem is undergoing rapid transformation. As marketers shift away from impression-driven buying and demand measurable outcomes, platforms that combine transparency, performance optimization, and high-quality traffic have become essential. Qi Ads was built for this new reality. By merging in-app and OEM inventory with machine-learning optimization, the platform enables advertisers to scale efficiently while paying only for real business results, not impressions.
The Market Is Changing: Performance and Accountability Matter More Than Ever
Over the last several years, global reports (Sensor Tower, AppsFlyer, Business of Apps) have highlighted several trends:
- Rising CPIs and competition in traditional in-app channels
- Fragmentation of distribution ecosystems: OEM app stores, on-device placements, alternative marketplaces
- Increased demand for measurable, performance-based pricing
- Adoption of machine-learning–driven optimization across UA workflows
- Growing reliance on channels that offer transparency and brand safety
These shifts demand a new kind of ad platform, one that simplifies execution, consolidates diverse traffic sources, and ties spend directly to outcomes.
Qi Ads was created to address that need.
A Self-Service Mobile Advertising Platform Built for Results
Qi Ads is a self-service platform engineered around one guiding principle: marketers should pay only for meaningful outcomes.
Instead of CPM buying, Qi Ads supports performance models such as:
- CPI – cost per install
- CPA – cost per registration or purchase
- ROAS-based optimization
This aligns the platform with modern UA economics, where success is measured not by exposure, but by acquired users and post-install value.
The Power of OEM + In-App Inventory in One Platform
As industry research shows, OEM channels (Xiaomi, OPPO, Vivo, Transsion, Samsung, Huawei) are becoming crucial to mobile growth. They offer high-intent placements directly on the device:
- on-device recommendations
- OEM stores
- setup-wizard app suggestions
- proprietary browser and feed environments
Meanwhile, in-app inventory remains one of the largest and most scalable traffic sources globally.
Qi Ads combines both worlds; aggregating in-app demand sources with OEM placements inside one interface, allowing advertisers to scale across diverse ecosystems without managing multiple partners or integrations.
This hybrid approach taps into:
- broad reach from in-app networks
- high-intent conversions from OEM channels
- cost efficiency through ML-driven bid and traffic optimization
Machine Learning That Reduces Manual Workload
According to industry benchmarks, more than 60% of UA managers’ time is spent on operational tasks: bid tuning, source-level analysis, creative rotation, funnel monitoring.
Qi Ads minimizes this manual overhead by applying ML models to:
- automatically identify high-quality placements
- adjust bids in real time based on predicted performance
- allocate budget to sources with the highest probability of conversion
- reduce ineffective spend before it accumulates
- optimize campaigns to business KPIs (installs, purchases, ROAS)
Advertisers no longer need to micro-manage dozens of levers.
You focus on strategy – machine learning handles the rest.
Transparency and Control Built Into the Platform
In an environment where advertisers demand accountability, Qi Ads emphasizes:
- clear reporting
- real-time analytics
- fraud protection (industry-standard monitoring and filtering)
- granular traffic insights
- full visibility of performance-based spend
This ensures marketers understand exactly where their budget goes and what results it generates.
Designed for Growth: From Agencies to Global Brands
Qi Ads is already working with agencies and advertisers that need scalable solutions without the complexity of multi-channel management.
Key advantages include:
- Unified traffic access (OEM + in-app in one platform)
- Performance-based pricing aligned with KPIs
- Self-service campaign setup
- Faster go-live with minimal manual operations
- Scalability across regions and verticals
The platform fits both emerging and mature advertisers who want predictable, efficient growth without operational overload.
A Platform for the Future of Mobile Performance Marketing
As mobile ecosystems evolve and advertisers seek more transparent, cost-efficient solutions, platforms like Qi Ads represent the natural next step.
A unified source of traffic.
A performance-first model.
Machine learning that works for you – not the other way around.
Qi Ads was built for the future of mobile advertising, and that future is performance.
