Kochava introduces Atlas Performance(TM): A first-of-its-kind Supply Performance System for premium media owners. Kochava, a leader in real-time data solutions for omnichannel performance, has unveiled Atlas Performance(TM) by Kochava-the industry's first dedicated Supply Performance System (SPS) built specifically for premium publishers and media platforms. Enhanced by StationOne(TM), Kochava's integrative AI workspace, the solution is designed to modernize supply-side optimization by enabling publishers to deliver measurable advertiser outcomes with greater transparency, operational efficiency, and privacy compliance. Atlas Performance marks an evolutionary step for publishers in addressing performance measurements and optimization. It does this by shifting concentration away from impressions and ad delivery metrics, as it allows performance partners to work in line with advertiser outcomes such as conversion, app install, subscription, incrementality, and brand awareness, while maintaining the integrity of data. "Our mission with Atlas Performance by Kochava is to empower publishers and platforms with unprecedented clarity, simplicity, and control in driving advertiser results," said Charles Manning, Founder and CEO, Kochava. "The addition of StationOne's integrative AI Hub takes this even further, enabling data-driven decision-making and surfacing Atlas Performance tools into the AI models used by premium publishers. We are providing a privacy-centric approach to unifying publishers' workflows and optimizing them to serve advertisers better." Built for seamless integration. One of the defining benefits of Atlas Performance is its "plug-and-play" architecture. The system integrates directly with existing ad servers, SSPs, and DSPs-eliminating the need for disruptive rip-and-replace technology migrations. This approach allows publishers and platforms to consolidate outcome measurement, optimization, and reporting into a unified framework while preserving current infrastructure investments. As a result, organizations can accelerate time-to-value without operational downtime or workflow disruption. Aligning supply with advertiser outcomes. A disconnect has long existed between supply platforms and media buying, with supply platforms traditionally pushing outcome-based KPIs that resonated with performance and brand marketing teams. Whether advertiser campaigns look to acquire website conversions, purchases, subscriptions, and app engagement or prefer to report across reach, incrementality, and brand lift, the system offers unified reporting and outcome verification through third-party provider Kochava. This outcomes-based approach builds collaboration with both buyers and sellers, making the publisher a responsible entity that achieves measurable outcomes. Real-World performance gains. In a recent deployment, a leading CTV OEM with over 200 million smart TVs globally employed Atlas Performance to support a top FAST app, boasting more than 30 million monthly active users. It delivered a 58% lift in conversion rates for first-time app launches by targeting over 1.2 million high-propensity households. The results underline the very real way in which data-driven supply optimization can have direct and material impacts on measurable performance across both CTV and streaming environments. Core capabilities of Atlas Performance(TM). The platform delivers a comprehensive suite of tools tailored to modern publisher needs, including: * Privacy-safe first-party data ingestion combined with machine learning optimization * Actionable insights and continuous performance recommendations * Advanced audience intelligence to suppress converted users and prioritize high-intent segments * Independent outcomes measurement and incrementality validation * Unified reporting for performance-driven and brand-oriented campaigns * Data-backed proof points to deepen advertiser relationships and drive incremental revenue With the addition of StationOne(TM), Atlas Performance further embeds AI-powered collaboration into publisher workflows. StationOne acts as an integrative AI hub, enabling teams to centralize data, automate insight generation, and activate performance strategies in real time - without compromising privacy or security standards. "StationOne represents our bold vision for the future of advertising technology," continued Manning. "By embedding integrative AI directly into Atlas Performance, we're giving publishers and platforms the collaborative intelligence they need to optimize outcomes quickly and confidently. StationOne enables teams to unify data, automate insights, and activate strategies in real time while maintaining the highest standards of privacy and security. This is the next leap forward for performance measurement and media efficiency." With Atlas Performance(TM) and StationOne(TM), Kochava positions itself at the forefront of supply-side performance innovation - equipping premium publishers and platforms with the tools required to compete in an increasingly outcome-driven, privacy-conscious digital advertising landscape.

Kochava launches atlas performance(tm): the industry's first supply performance system for premium publishers and platforms. By rory February 10, 2026 Press

Kochava fixes the MMM data problem marketers didn't know they had. Measurement company releases data validation tool addressing broken spend tracking, naming inconsistencies, and revenue gaps that derail marketing mix modeling. Kochava last month introduced an MMM Data Validator tool designed to detect data quality issues before they undermine marketing mix modeling implementations. The measurement technology company positions the self-serve validation tool as essential infrastructure for marketers adopting privacy-first measurement approaches amid attribution challenges. The validator enables app marketers to upload CSV files containing up to 2,000 rows of campaign data and receive automated reports identifying common errors including missing operating system values, incomplete network data, absent cost information, and conversion tracking gaps. "Through this self-serve data validation check, app marketers save hours or even days of back-and-forth troubleshooting and data investigation," according to Kochava's announcement. Data hygiene has emerged as critical infrastructure for marketing mix modeling success. Kochava stated it can build high-quality models in as little as six hours with clean data, but poor data quality triggers the "garbage in = garbage out" principle that derails modeling efforts. Marketing measurement confidence stalled in 2025 despite technological advances, with 54.1% of marketers reporting no change in confidence year-over-year while 14.3% said confidence declined.