AdTech has never had more data, yet it has rarely been harder for brands and agencies to answer a simple question: what actually drove the result?
Clicks, conversions, and platform-reported performance have long served as proxies for success, shaping how campaigns are evaluated, budgets are allocated, and results are communicated. But they were never designed to measure business impact directly. They offer a directional view of activity rather than a definitive answer.
Clicks indicate interest, conversions indicate action, and platform-reported metrics reflect performance within a given environment. Each of these signals plays a role, but none of them, on their own, can confirm whether marketing led to a business outcome.
That limitation isn’t new, but it’s becoming more visible as signals shift and measurement becomes more fragmented. Measurement systems are under increasing strain, shaped by signal fragmentation, privacy constraints, and data environments that make it harder to connect media exposure to outcomes. In fact, 75% of marketers say their current approaches are falling short.
Performance can appear strong in one platform and materially different in another, making it harder to reconcile results across partners. Connecting campaign performance to actual business outcomes remains difficult.
As identity, data collaboration, and measurement become more strategic to marketing performance, organizations are looking for infrastructure that can connect data across partners while preserving neutrality, flexibility, and interoperability.
Why performance doesn’t always reflect impact
Even when data is available, it doesn’t always tell a complete or accurate story.
A conversion after an ad exposure may suggest a relationship, but it doesn’t establish causation. Attribution models favor what’s easiest to measure, and platform-reported metrics often reflect biases toward their own ecosystems. Over time, this creates a version of performance that can appear accurate while overstating actual impact.
Measurement should move from signals to conversions, then to verified outcomes, and ultimately to incrementality. Each step brings measurement closer to understanding true business impact. In practice, most strategies stall in the middle, treating conversions as the endpoint even though they don’t show whether marketing drove the result.
This creates a gap between what’s measured and what matters. Incrementality is gaining focus because it isolates what changed due to marketing, separating true impact from what would have happened anyway. Industry guidance increasingly reflects this shift, recognizing incrementality as a reliable way to measure causal impact in a fragmented, privacy-first ecosystem.
As AI and agentic technologies become more involved in planning, optimization, and decision-making, the quality of the underlying identity and data foundation becomes increasingly important. Reliable outcomes require trusted identity and interoperable data.
The infrastructure shift: Why CAPI matters now
Measurement is evolving at both a conceptual and technical level.
As browser-based tracking becomes less reliable, the industry is shifting toward server-side approaches, including conversion APIs (CAPI). These approaches create a more direct, durable connection between advertiser data and platform systems, reducing reliance on signals limited by browsers and privacy controls.
Platforms are reinforcing this shift. Meta positions CAPI as a way to improve data quality, measurement accuracy, and optimization by enabling more complete event capture. Google similarly emphasizes server-side tagging to improve data control, resilience, and performance in modern measurement environments.
On their own, these approaches don’t solve the measurement challenge. Combined with identity, they create a stronger foundation for connecting marketing activity to real outcomes.
Stronger data collection infrastructure is most effective when paired with interoperable identity and privacy-first governance, giving marketers greater confidence in how data is connected, activated, and measured across environments.
Identity as the connective layer
Identity resolution is a key enabler of that foundation. By connecting identifiers across platforms, devices, and environments, it helps marketers tie exposure to consumers and, ultimately, to real-world outcomes. Without it, measurement stays siloed across platforms and channels. With it, marketers can see how activity across environments contributes to a single outcome.
Interoperable identity is becoming more than a marketing capability. It increasingly serves as a foundational layer that helps brands, agencies, publishers, platforms, and partners collaborate across a growing number of data and media environments.
Industry efforts around data clean rooms, interoperability, and privacy-safe collaboration all address the same challenge: how to connect data across environments without relying on outdated or fragile signals. Solutions that strengthen identity resolution within these environments improve match rates between partners, making collaboration more effective and measurement more complete.
As collaboration expands across clean rooms, platforms, and activation channels, marketers benefit from identity frameworks that support interoperability rather than limiting how data can move across the broader ecosystem.
What brands and agencies should expect next
For brands and agencies, the focus is shifting from what appears to perform within a platform and toward what drives results. That requires looking beyond platform-reported metrics, asking more of measurement partners, and incorporating incrementality into how success is defined.
It also requires investment in identity and measurement that enable outcome-based measurement. Without that foundation, even advanced reporting will struggle to provide a clear view of performance.
That foundation should include trusted consumer data, transparent governance practices, and identity capabilities that can adapt as technology, privacy expectations, and AI-driven workflows continue to change.
Many organizations are also evaluating how measurement, identity, and activation strategies can maintain long-term flexibility across agencies, platforms, publishers, commerce media networks, and emerging channels.
What this shift means for AdTech
Reporting within platforms or optimizing intermediary metrics is no longer enough. Success increasingly depends on demonstrating how marketing activity translates into business results across channels and environments.
As marketing systems become more automated, brands need visibility into the data and identity layers informing those decisions, along with confidence that those systems are operating on accurate, privacy-safe consumer information.
That shift requires interoperable identity, cross-platform measurement, and infrastructure that supports more complete and reliable data collection. It also requires validating whether marketing drove incremental business impact, rather than simply reporting observed conversions.
Independent identity and neutral data infrastructure can help support that effort by giving organizations the flexibility to work across partners, platforms, and channels while maintaining consistency in measurement and audience understanding.
This means building systems that connect exposure to outcomes, measure incremental impact, and link media investment and business results. Clicks and conversions remain useful, but their limitations are becoming more visible as reliability declines.
Trusted identity, privacy-safe data collaboration, and transparent measurement are becoming central to how marketers build durable strategies that can adapt as the ecosystem continues to change.
Measurement will be defined by the ability to connect marketing activity to verifiable outcomes, with incrementality at the center of understanding true impact.
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About the author
Ali Mack
VP, AdTech Sales
Ali Mack leads Experian’s AdTech business, overseeing global revenue across the company’s expansive tech and media portfolio. With over a decade of experience in digital and TV advertising, Ali drives strategic growth by aligning sales, customer success, and solutions teams to deliver impactful outcomes for clients and partners.
She has successfully guided teams through two major acquisitions, integrating sales organizations and product portfolios into unified go-to-market strategies. Under her leadership, Experian has consistently exceeded revenue targets while fostering collaborative, results-driven teams and mentoring emerging leaders. Working closely with finance, product, and marketing, Ali develops strategies that support a diverse ecosystem of publishers, brands, and technology partners, positioning Experian at the forefront of data-driven advertising and identity resolution.
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Advertisers continue to increase their spending across addressable TV, connected TV (CTV), and digital. According to IAB’s “2021 Video Ad Spend and 2022 Outlook” report, digital video ad spending is expected to increase by 26% to $49.2 billion in 2022. Understanding who consumers are and how to best reach them in their preferred channel is becoming more complex. Damian Amitin and Colleen Dawe discuss how a seamless identity strategy can address the complexity of the emerging TV space. The evolution of identity resolution Around ten years ago, the idea of digital “identity resolution” or “Device Graphs” was born. This idea connected cookies and MAIDs to understand when many IDs were the same person or household. In more recent years, our industry began to connect that initial understanding to the CTV ecosystem. But, a large part of the TV ecosystem existed in silos, like first and third-party audience data, and the growing advanced TV market. The goal of identity resolution has always been to understand the consumer better. To achieve more accurate targeting and measurement in the CTV ecosystem, we must incorporate the following: What we know about the household and consumer from an ID perspective Who the consumer is as it relates to audience data, as well as the wealth of first-party data in the advanced TV space We know the cookie is a flawed way to collect data. While Google delayed the deprecation of third-party cookies, there are other challenges that we face right now. Such as the glaring gap in Safari traffic and the Identifier for Advertisers (IDFA) turning to “opt-in.” Understanding consumer behavior across devices and platforms continues to challenge marketers and publishers. These challenges are creating the need to find more stable identifiers. Though the cookie remains valuable, it has an uncertain future. This has led advertisers to place bigger bets on the combination of addressable and CTV. The overlap in addressable and CTV data leads to fragmentation Personally identifiable information (PII) makes up the majority of addressable TV households’ data. Part of the attraction to CTV is that their IDs remain universal, persistent, and stable. Analysts project that CTV ad spending will hit $23B in 2023. Consumers now have an average of 4.7 streaming subscriptions per household. It’s no surprise then, that Disney+, HBO, and Netflix released or announced ad-supported tiers. Addressable TV and CTV are often thought of as distinct markets across the industry. But, in the context of identity, we should look at them through the same lens. Millions of households still consume TV and video content via a set-top box or through apps on CTVs. This is in addition to what they consume on their laptops, tablets, and phones. Of the top 11 cable and satellite providers, 65 million U.S. households still have a box in their homes. On the other hand, approximately 96 million U.S. households have at least one or more Smart TVs and streaming services. With about 126 million total U.S. TV households, that’s a lot of overlap. There are still significant numbers of both addressable and CTV homes. How can we address fragmented TV consumption? Through a holistic and comprehensive approach to identity. An approach that captures addressable TV, CTV, and digital identifiers. An approach that captures all audience attributes inside of a single identity graph. This is the ideal approach for publishers, AdTech vendors, and brands. Discover how to unlock holistic identity How can we achieve a holistic identity? Through a three-pillared approach: First-party data onboarding Digital identifiers Consumer data First-party data onboarding Bringing offline data from a brand’s consumers is very valuable due to the quality of the data. Because the data is being collected right from the source, you know it’s accurate. It provides the foundation you can build your identity strategy from. Digital identifiers Once you create a foundation with first-party data, you need to connect it. Either with an internal or licensed digital ID graph. Then you can understand the connections between all devices within the household. Consumer data After you know which devices tie to a single consumer, you’ll want to act on that knowledge. The next step is to partner with a data provider that can help you understand your consumers. Establishing this partnership will help improve targeting, measurement, and the customer experience. To achieve a well-rounded customer view tomorrow, we need to start today The three-pillared approach bridges the gap between the offline and online worlds. This provides a well-rounded view of customers and audiences. However, the ability to tie these aspects of identity together still presents several challenges. To achieve the three-pillared approach today, you need to use many vendors and fragmented data sources. Often with conflicting data. As we look forward, the tools to do this are becoming more advanced and unified. The players in our ecosystem should adopt a seamless identity strategy. One that provides a privacy-safe yet full-picture solution. That means capturing and unifying all devices within a household. While also understanding the consumer behaviors and profiles behind those devices. Keep up with your customers and their data Once we create an informed identity strategy, we can begin to understand the makeup of each household and the individuals within. In this new world, personalizing the experience for an audience is key. Where do they prefer to spend their time? What type of content are they most engaged in? Only then can we as an industry provide an optimal experience for each consumer. All while driving greater ROI for advertisers and publishers. Are you ready to know more about your customers than ever before? Let’s get to work together to achieve your marketing goals. Contact us to learn how we can connect the complex dots of identity resolution. About our experts Damian Amitin, VP of Enterprise Partnerships, Experian Marketing Services Damian Amitin is the VP of Enterprise Partnerships and joined Experian during the Tapad acquisition in November 2020. Damian is a senior sales and partnerships executive, specializing in the identity resolution and marketing data ecosystem. Damian helps brands, publishers, and technology vendors enable enhanced ID resolution through The Experian/Tapad platform to attain a 360 view of the customer across targeting analytics, attribution, and personalization. Colleen Dawe, Senior Account Executive, Experian Marketing Services Colleen Dawe is a Senior Account Executive on the Advanced TV Team within Experian Marketing Services. With 15 years of experience working within the television ecosystem, Colleen works with clients to bring the value and expertise of Experian to support their objectives in the areas of data, identity, activation, and measurement. Get in touch
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