Advertising technology is undergoing a profound transformation as media consumption shifts toward streaming platforms and connected devices. Traditional digital advertising models were built around cookies, browser tracking, and desktop web interactions. But as audiences migrate to mobile, connected TV (CTV), and other digital channels, those legacy measurement systems are no longer sufficient.
The advertising ecosystem now faces a critical challenge: how to measure the true impact of television advertising in a world where the resulting consumer actions often occur on completely different devices.
Addressing this challenge, Kochava, the leading real-time data solutions company for omnichannel outcomes, announced Atlas Performance by Kochava, which the company describes as the industry’s first Supply Performance System (SPS). Atlas Performance drives outcomes measurement and optimization across CTV, audio, in-game ads, DOOH, retail media, and other premium channels. While CTV is a key channel, it is not the only channel Atlas supports.
Just recently, Atlas was leveraged by a leading digital out-of-home (DOOH) platform to measure and optimize how their digital billboard placements helped drive trailer views and theatrical ticket sales for a major studio film release.
In another example, a leading audio streaming and podcast platform leveraged Atlas to measure and optimize website conversions and in-app purchases driven by an ad campaign served via dynamic ad insertion within podcasts and music streaming.
The Evolution of Advertising Measurement
Advertising measurement has evolved through several major phases over the past two decades.
The first phase centered on web analytics and cookie-based attribution, where marketers tracked user activity through browser cookies. This model worked well when digital advertising was largely confined to desktop websites.
The second phase emerged with the rise of mobile apps. Because apps do not rely on browser cookies or JavaScript tracking, a new category of technology known as Mobile Measurement Partners (MMPs) was created to track app installs and user engagement. Kochava was among the early pioneers in this category, helping brands measure return on investment across mobile campaigns.
But the rapid growth of connected TV has created yet another shift. Consumers increasingly watch streaming content on smart TVs and streaming devices, yet many of the actions advertisers care about, such as downloading an app, placing an order, or joining a loyalty program, happen on mobile devices. This disconnect between where an ad is viewed and where the resulting action occurs makes attribution extremely difficult.
Atlas Performance was designed to close that gap.
Introducing the Supply Performance System
Atlas Performance establishes a new category of advertising technology: the Supply Performance System (SPS).
Unlike traditional demand-side platforms that focus primarily on ad buying, an SPS focuses on measuring and optimizing the performance of advertising supply—the inventory where ads are delivered. In practical terms, Atlas Performance links two critical events:
- Ad exposure on connected TV devices
- Resulting actions on mobile, web, desktop, in real life, and beyond.
This linkage allows advertisers and publishers to understand whether an ad delivered on a smart TV ultimately leads to measurable outcomes such as app downloads, purchases, or loyalty program enrollments. The result is a much clearer picture of how connected TV advertising drives business results.
Privacy-Safe Measurement Through Data Clean Rooms
One of the most significant challenges in modern advertising measurement is privacy. Consumers, regulators, and technology platforms are increasingly restricting the use of personal identifiers and cross-device tracking techniques. Atlas Performance addresses this issue by using a data clean room architecture.
Within this model, multiple parties, such as advertisers and connected TV manufacturers, can contribute data into a secure cloud environment where insights are generated without exposing the underlying data to other participants. The system functions as an independent clearinghouse.
Connected TV platforms provide privacy-safe information about which ads were delivered, while advertisers contribute information about outcomes such as app installs or purchases. The clean room then correlates these signals to determine which advertising exposures led to which outcomes.
Because the data remains protected within the clean room environment, the process preserves privacy while still enabling accurate measurement. During analyst discussions, Kochava’s founder and CEO, Charles Manning, described this architecture as acting like an independent referee and system of record that connects the advertising ecosystem while keeping participants’ data secure.
From Measurement to Outcomes Optimization
While measurement is a critical first step, Atlas Performance also introduces capabilities that extend beyond attribution. The platform is designed to help publishers and advertisers optimize advertising outcomes by analyzing performance signals across campaigns.
For example, brands can evaluate which streaming environments produce the highest conversion rates, enabling them to shift budgets toward the most effective placements.
Publishers and platform operators can also benefit by improving how they price and manage their advertising inventory. By understanding which ad placements generate measurable business outcomes, they can increase the value of their ad supply. This capability moves connected TV advertising beyond simple impression counting toward outcome-based optimization.
AI and Workflow Integration
Atlas Performance is supported by Kochava’s broader platform architecture, which includes an Integrative AI Hub, StationOne, designed to unify marketing workflows.
The hub connects multiple data sources and marketing tools using model context protocol (MCP) connectors that integrate platforms such as analytics tools, advertising networks, collaboration software, and campaign management systems.
This unified environment allows knowledge workers, particularly advertising analysts and operations teams, to analyze campaigns, plan new strategies, and optimize performance from a single interface.
AI plays a key role in automating many of these workflows. By connecting multiple systems and data sources, StationOne enables marketers to perform complex analysis tasks that previously required manual data gathering across several tools.
The result is a more streamlined workflow for campaign planning, targeting, activation, measurement, and optimization.
Why This Industry First Matters
The launch of Atlas Performance represents a significant step forward in solving one of the advertising industry’s most persistent challenges: cross-device attribution in a privacy-first world.
Connected TV has become one of the fastest-growing segments of digital advertising, but its effectiveness has been difficult to measure. Without reliable attribution, advertisers cannot fully evaluate the impact of their spending, and publishers cannot accurately demonstrate the value of their inventory.
By connecting ad exposure on television devices to actions on mobile devices, Atlas Performance provides the missing link that allows advertisers to evaluate real-world outcomes. At the same time, the system’s clean room architecture ensures that this insight is delivered without compromising user privacy.
The Future of Outcome-Based Advertising
The introduction of the Supply Performance System category may signal a broader shift in advertising technology. As privacy regulations tighten and consumer behaviors continue to span multiple devices, measurement platforms will need to evolve beyond traditional attribution models.
Future advertising systems will likely focus on outcomes-based measurement, where the ultimate metric is not impressions or clicks but real-world actions such as purchases, app engagement, and customer retention. In this emerging landscape, platforms like Atlas Performance could play a central role in connecting fragmented data signals across devices and environments.
For advertisers seeking to understand the true impact of connected TV campaigns—and for publishers seeking to maximize the value of their inventory—the ability to measure and optimize outcomes may become the defining capability of the next generation of advertising technology.
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