Kochava announced on February 10, 2026, the launch of Atlas Performance, a new supply performance system designed for premium publishers and platforms.
The product was unveiled at the Kochava Summit and is positioned as a way for supply-side partners to optimize and report advertiser outcomes using Kochava’s measurement infrastructure.
Atlas Performance integrates directly with existing ad servers, supply-side platforms, and demand-side platforms, allowing publishers to unify measurement, optimization, and reporting without migrating their current systems.
Kochava said the platform focuses on downstream outcomes such as conversions, purchases, app installs, subscriptions, and brand lift, verified through third-party measurement.
The system is enhanced by StationOne, Kochava’s AI workspace, which surfaces optimization insights and embeds outcome data into publisher workflows. Kochava said this enables real-time decision-making while maintaining privacy and data integrity.
The company cited an early deployment in which a connected TV manufacturer and a FAST app achieved a 58% lift in conversion rates for a first-time app launch campaign.
Atlas Performance includes features such as first-party data ingestion, machine learning-based optimization, audience suppression, incrementality measurement, and unified reporting across performance and brand objectives.
Image Credit: Kochava
Why This Matters Today
Publishers face increasing pressure to prove performance outcomes, not just impressions or reach. At the same time, advertisers expect transparency, incrementality, and verification across fragmented channels, especially in CTV and streaming environments.
Atlas Performance reflects a shift toward outcome-driven selling on the supply side.
By focusing on advertiser KPIs and integrating verification directly into publisher workflows, Kochava is positioning supply platforms to compete on measurable results rather than inventory alone.
The plug-and-play approach also addresses a practical constraint.
Many publishers operate complex stacks that are costly to replace. Tools that layer on top of existing infrastructure are more likely to be adopted, particularly as privacy requirements limit data sharing.
Embedding AI through StationOne signals another trend: automation moving closer to execution. Instead of post-campaign analysis, optimization, and insights are intended to influence decisions in real time.
If widely adopted, systems like Atlas Performance could narrow the gap between how buyers evaluate media and how sellers package and optimize it.
Our Key Takeaways:
Kochava introduced Atlas Performance to help publishers optimize and prove advertiser outcomes. The system integrates with existing ad tech rather than replacing it. AI-driven insights are embedded through Kochava’s StationOne workspace.
The approach reflects growing demand for outcome-based media buying.
- Kochava launched Atlas Performance as a supply performance system for publishers.
- The platform focuses on verified advertiser outcomes across performance and brand metrics.
- Integration-first design aims to reduce disruption while enabling real-time optimization.
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