ATOM (Anonymized Targeting on Mobile) is a proprietary, on-device technology developed by Verve Group for mobile advertising. It enables advertisers and publishers to target and monetize audiences without relying on user identifiers or personally identifiable information (PII). Instead, ATOM uses machine learning to analyze device signals, app context, and user behavior directly on the device, grouping users into anonymized cohorts based on inferred traits such as age, gender, interests, and behavior. All data processing and storage occur securely on the user’s device, ensuring privacy compliance and future-proofing against evolving regulations. ATOM is designed to restore addressability and campaign performance in a post-IDFA, privacy-centric mobile ecosystem, offering a scalable alternative to traditional ID-based targeting.

Key Features

On-Device Data Processing All data collection, analysis, and cohort creation happen directly on the user’s device, not in the cloud or on external servers.

• No user IDs or PII are collected or transmitted
• Privacy by design, compliant with global regulations

Machine Learning-Powered Cohort Creation Uses advanced machine learning models to process device signals (e.g., device type, OS, usage patterns) and app context (e.g., content being consumed, in-app behavior) to infer user traits.

• Probabilistic assignment to cohorts (e.g., “likely women aged 25–34”)
• Segments can be based on interests, demographics, or behavior

Scalable, ID-Less Targeting Enables advertisers to reach relevant audiences at scale without relying on device IDs or third-party cookies.

• Works across a global network of apps and publishers
• Integrated into the HyBid SDK for easy publisher adoption

Contextual and Behavioral Signals Leverages both contextual (what is happening in the app) and behavioral (how the user interacts) data for more accurate cohort creation.

• Real-time signal processing
• Dynamic cohort assignment

Monetization Benefits for Publishers Publishers can monetize their entire user base, including users who have opted out of tracking, by placing them into valuable anonymized segments.

• Higher fill rates and eCPMs for ID-less inventory
• No additional integration required for HyBid SDK partners

Benefits

Privacy Compliance ATOM’s on-device, anonymized approach ensures compliance with strict privacy regulations and prepares for a future with reduced user-level identifiers.

Restored Addressability Provides advertisers with a scalable way to target and measure campaigns in environments where traditional identifiers are unavailable or restricted.

Improved Campaign Performance Advertisers can achieve better ROI by reaching relevant, anonymized cohorts, even in the absence of precise user-level data.

Publisher Revenue Stability Publishers benefit from stabilized CPMs and increased monetization opportunities for all users, regardless of tracking consent status