OEM-Powered Device-Level App Discovery
We deliver app discovery solutions across OEM networks, enabling applications to be discovered directly on mobile devices throughout the user lifecycle. By leveraging native placements embedded within manufacturer-controlled environments, app discovery extends beyond traditional app stores and in-app advertising into trusted, system-level discovery surfaces.
This approach allows apps to reach users at moments of high intent, supporting sustainable acquisition, re-engagement, and long-term usage.
Why OEM-Based App Discovery
OEM networks provide direct access to discovery touchpoints that are part of the device experience itself. Unlike third-party inventory, these placements are integrated at the system level and accessed through manufacturer-approved environments.
Advantages
- Discovery within trusted OEM and system interfaces
- Continuous visibility beyond app store search and rankings
- Higher install quality and stronger post-install engagement
- Reduced exposure to low-quality or fraudulent traffic
Discovery Across the Mobile Device Lifecycle
App discovery is activated across multiple OEM-controlled touchpoints that users interact with from the moment a device is powered on and throughout daily usage, including:
- Out-of-the-box experience (OOBE) during device setup
- Dynamic preloads, smart folders, and recommendation widgets
- Minus One and discovery screens
- System search, keyboards, and utility interfaces
- OEM app stores and curated recommendation hubs
- In-app discovery within OEM-approved and premium applications
This lifecycle-based approach ensures apps remain discoverable beyond a single installation window.
First Experience
Setup process
Dynamic preload
Ongoing Experience
Widget
Keyboard
Minus 1 screen
Ongoing Experience
Folder
In-app Discovery
OEM Stores
Rewarded Discovery
OEM Network Reach at Scale
Carbondyne’s app discovery shows up where users already tap and scroll—inside OEM networks across hundreds of millions of devices worldwide. Apps appear naturally during everyday phone use, not as interruptions.
Built into manufacturer-approved environments, campaigns stay visible, brand-safe, and scalable across markets—smooth, simple, and effective.
Apps are shown based on how people actually use their phones, not guesswork.
better installs
stay longer
smoother results
Simple, Outcome-Based Pricing
We operate on a Cost Per Install (CPI) model—so you only pay when a real, verified install happens
Commercial Model – How It Works
Define the Campaign Goal
The campaign begins by setting clear objectives such as app installs, registrations, or active users, along with target markets, devices, and operating systems.
Integrate the MMP
A Mobile Measurement Partner (MMP) is integrated into the app to enable independent attribution, install verification, and fraud control. This ensures every install is tracked, validated, and measured transparently.
Launch on OEM Networks
The app is promoted across trusted OEM discovery surfaces, including native, on-device placements where users naturally discover new apps.
Smart User Matching
An AI-driven recommendation engine matches the app with relevant users based on real device usage and behavioral signals, ensuring discovery at high-intent moments.
Install & Attribute
Users install the app directly from the discovery placement. The install is automatically attributed and verified through the integrated MMP.
Verify & Protect
Only verified, fraud-free installs are counted. Invalid, duplicate, or suspicious activity is filtered out through MMP-based validation.
Pay Only for Results
Billing follows a Cost Per Install (CPI) model. Payment is made only for MMP-verified installs, with no exposure to impression or click-based costs.
Learn & Optimize
Campaign performance is continuously optimized using AI-driven learning, focusing on user quality, engagement, and downstream adoption—not superficial install counts.
Execution & Measurement
App discovery campaigns can be delivered through managed or self-serve execution models, depending on advertiser needs and operational preference.
- Objective-based campaign setup (installs, registrations, conversions)
- Targeting by device brand, OS, model, and geography
- Ongoing optimization supported by real-time performance signals
- Transparent reporting aligned with standard performance metrics
Ideal Use Cases
- Banking and fintech applications
- E-commerce and marketplace platforms
- Gaming and entertainment apps
- Subscription-based and utility services
- Telco- and OEM-led digital ecosystems

