Qi Ads: A New Source of Mobile Traffic Powered by ML-optimization and Pay-for-Performance
Today we are proud to introduce the platform Qi Ads — a source of mobile in-app and OEM traffic focused on performance, transparency and quality. Qi Ads is already live with clients and authorised agencies, and you can become one of the pioneers shaping the next generation of mobile advertising.
Qi Ads is a self-service mobile in-app and OEM advertising platform built on machine-learning technologies. It supports traffic sourcing under CPI and CPA models, with automatic optimisation for key events: installs, purchases, registrations, ROAS and retention.
Market overview
In-app traffic
In-app ad channels have long and systematically grown their share of ad budgets, because most mobile user time is spent in apps.
According to the Sensor Tower report: “Mobile users spent a combined 4.2 trillion hours of their time on apps” and ~US $150 billion annually. Every US $100 spent on advertising corresponded to 37 paid and 3 organic installs, meaning that ads amplify organic traffic.
Monetisation via in-app purchases and subscriptions remains the key revenue source especially in entertainment apps, but also in non-game apps.
OEM traffic
OEM advertising has only recently begun to be widely used as a standalone UA channel, so many analytics agencies and research firms still do not cover it in depth. But the forecasts are impressive.
By end of 2025, Huawei and Xiaomi report that OEM platforms will account for over 25 % of global app downloads, and in specific regions (EMEA, MENA) up to 40 %. OEM channels are often marketed as lower-CPI thanks to less competition and direct integrations, and importantly, offer a controlled environment with reduced fraud risk.
In today’s fragmented in-app and OEM ad market, Qi Ads holds the position of a self-learning ML solution, built for maximum efficiency and scalability. It is tailored for marketers who expect real business results, not just reach metrics.
Qi Ads — a new continent on the mobile-traffic map
Machine learning
If you’re tired of managing dozens of ad accounts, now is the time to consolidate and a platform with machine learning becomes your indispensable ally.
In Qi Ads, model training is continuous: algorithms update as statistical data accumulates, especially in early campaign phases when weak channels must be quickly filtered out. Thanks to ML algorithms, the platform offers advertisers the unique opportunity to optimise ad campaigns toward an internal event such as registration or purchase. It uses its own historical data; there’s no need to share your user lists.
Key features:
- LTV forecasting
- Early filtering of underperforming audiences
- Automatic bid adjustment based on traffic quality, advertising expectations and user value
- Pay-per-install
- Optimisation for any internal event, with the option to switch to pay-per-event
Inventory
Qi Ads unites 20+ premium traffic sources: from Unity, IronSource and AppLovin to OEM ecosystems of Xiaomi and Vivo into a single intelligent system. They cover different regions and verticals (games, FinTech, e-commerce, etc.). And thanks to real-time optimisation of bids, creatives, audiences and placements, the platform entirely removes manual guesswork and ensures each dollar spent brings the advertiser closer to their goal whether installs, registrations or ROAS growth.
Supported formats:
- In-app (native, interstitial, rewarded video, playable)
- OEM (icons, images, video)
- Exclusive placements or premium inventory may be available where the platform has unique deals with OEM vendors.
Payment models
Unlike other DSP networks where CPM (Cost Per Mille) is traditional, Qi Ads emphasises transparent models — CPI (Cost Per Install) and CPA (Cost Per Action) once the required number of events (> 1,000) is achieved. This approach allows you to pay not for impressions, but for actions that directly impact business goals: installs, registrations, orders or return on investment.
The platform also supports dynamic bid management: bids adjust during the campaign according to quality, conversions and target KPIs. Another key feature is no minimum budget requirement.
Targeting
Precision matters. Qi Ads turns targeting from hypothesis into science. Thanks to machine learning the platform itself finds who and where to show ads, so each contact is meaningful and each install high-quality.
- Targeting capabilities: geo, device/OS/version.
- Support for custom audiences, look-alike, retargeting (depending on available SDK/integrations).
- You can influence campaigns only by adjusting targeting and creatives.
Moderation & fraud protection
In the world of mobile advertising, trust begins with transparency. Qi Ads includes a multi-layer quality control system from automated moderation to intelligent anti-fraud protection. This ensures advertisers receive only real impressions and meaningful actions, not statistical noise.
Moderation rules: filtering out unacceptable creatives or apps. For crypto or betting apps, a licence is required for each target country.
Fraud protection: algorithmic and manual checks, filtering dubious clicks, controlling repeated installs and bots.
Support & service
In addition to automatic optimisation, Qi Ads offers operational support and strategic consulting. Platform specialists analyse data, adapt strategy to seasonality and user behaviour, helping clients maintain campaign efficiency at every stage.
In the user dashboard you’ll find metrics:
- installs
- in-app events
- ROI/ROAS
- CR
- CTR
- eCPI
- CPM
- impressions
- clicks
- IPM
Detailed statistics: by campaign, creatives, countries. Export data (CSV, API), integrate with BI tools and access a real-time dashboard with minimal latency.
Why Qi Ads?
Thanks to its proprietary ML-algorithms, flexible buying models and access to in-app and OEM inventory, the platform already holds a firm position among next-gen solutions.
- Choose flexible start-up conditions, support and simplicity of integration.
- Receive only high-quality traffic thanks to strict fraud control.
- Pay for results (CPI / CPA). No hidden fees.
Ahead — scaling, integrations with new ecosystems and expanded capabilities for brands seeking a reliable alternative to traditional ad channels.
Welcome http://app.qiads.com/
