A few weeks ago, Experian and OpenX hosted a supply-side think tank at our New York City office. Over 70 industry leaders met to talk about targeting in a cookieless future and how we can reach consumers in intentional ways.
Publishers and supply-side partners shared what challenges they face, what solutions they’re considering, and what the future holds once the third-party cookie begins to deprecate in 2024. In this blog post, we’ll cover the top challenges, cookieless solutions, and actionable strategies we discussed at the event that can help publishers, their partners, and agencies make informed decisions about how to navigate tomorrow’s digital ecosystem.
Four main challenges
Four main challenges were discussed at the event:
First-party data monetization
Publishers possess a wealth of first-party data, but collecting and centralizing this information can be difficult for actionable insights. Streamlining data centralization and organizing first-party data is crucial for effective decision-making. Even with a wealth of first-party data, it’s important to be aware of any blind spots in your data and enrich those gaps with data partners rooted in offline connections.
“We appreciate the opportunity to participate in the supply-side think tank led by OpenX and Experian, two industry leaders in navigating a cookieless future. We’re excited to collaborate with them on testing privacy sandbox APIs, identity resolution products, and audience development tools to enhance creator monetization and support an open internet amidst rapid technological and regulatory shifts.”
Patrick McCann, SVP, Research, Raptive
Lack of authenticated data and persistent IDs
The deprecation of third-party cookies means there will be a shortage of authenticated user data and persistent identifiers. Without this information, targeting and personalization become more challenging. Participants discussed the need to find alternative ways to gather and use personal data responsibly. It’s time to start evaluating data partners who have accurate, multi-source compiled, privacy-compliant data with the dedication to reach and recency.
Fragmentation and scale with alternative IDs currently in the market
The multitude of alternative identifiers in the market poses a challenge for publishers. Each of these identifiers comes with its own set of rules and integration processes, leading to fragmentation and complexity. Publishers must find ways to navigate this landscape. Look to ID agnostic partners who provide a way to access multiple IDs at scale.
“The industry needs a more streamlined standard to integrate alternative IDs, given the ongoing challenges of third-party cookie deprecation, measurement, and clean rooms. This burden falls heavily on product and engineering teams, who must prioritize and address these issues one at a time.”
Ryan Boh, Head of Identity, Lockr
Time
Cookie deprecation is almost here. It is crucial to organize your legal, engineering, and product resources, and align internal go-to-market strategies. Establish partnerships that work with your team to follow these timelines and help build phased or cohesive strategies to prepare for a path to monetization. It is imperative to establish a sense of urgency and not wait for others to take the lead. Start testing now to determine if your infrastructure is ready and capable. Many partners who attended the think tank offered insights on how they’ve been tackling challenges to help their industry peers.
Solutions and action plans for a cookieless future
Participants discussed ways they are starting to prepare for a cookieless future and other approaches on their roadmaps:
Work with data partners heavily rooted in offline data across the ecosystem
Enriching your first-party data with partners who rely on offline IDs can help bridge gaps in your audience knowledge. This approach allows you to build a more complete audience profile while third-party cookies are still operational.
Experian is rooted in deterministic offline data and has decades of experience managing it safely. We have insights on over 250 million U.S. consumers and 126 million U.S. households. With our digital technology assets, we bring in 4 billion devices and 1 trillion device signals to definitively connect offline records to online identifiers. With Experian identity widespread adoption throughout the industry, we’re able to provide a common language for us all to collaborate. Experian identity organizes people into households, links their digital devices and IDs to them, enriches their identity with behavioral attributes, and then makes this data actionable in any environment, all while maintaining consumer privacy and data regulations.
“Experian’s supply-side think tank provided a platform for publishers and AdTech companies to discuss the challenges posed by cookie deprecation, privacy regulation updates, and identity restrictions. It highlighted the need for AdTech companies to assist publishers in addressing anonymous users without requiring a value exchange — fostering a mutually beneficial and privacy-compliant open web solution.”
Anthony Caccioppoli, Head of AdTech & Solutions, Insider
Develop your own persistent ID
Creating and maintaining a proprietary persistent ID can be a valuable cookieless solution. It provides control and independence in the new environment post cookie, giving publishers the ability to maintain a consistent user profile.
Use your data to expand contextual targeting opportunities
Contextual targeting involves placing ads based on the content of the web page rather than user data. In the absence of cookies, this strategy can prove effective in reaching relevant audiences.
“The masking or deprecation of IP addresses will eventually impact the availability of addressable IDs in non-authenticated web environments. In addition to ensuring maximum resiliency of our Graph and increasing support for authentication-based IDs, we are also investing in research and development around the use of other signals, such as contextual data, to maintain behavioral targeting inside non-authenticated environments. We will be sharing our findings and future plans in this space in the coming months.”
Budi Tanzi, VP, Product, Experian
Facilitate a knowledge exchange
Reach out to your network to find out what others are testing and what’s working. Start collaborating with agencies and brands across the buy-side to meet their needs.
“The collaborative spirit displayed by our partners constantly inspires me. Listening to the obstacles our industry faces allows this community to build strong relationships, create action plans, and deliver true value.”
Carly Allcorn, Account Executive, Publisher & Supply-Side Partnerships, Experian
Invest in an identity graph
Invest in an identity graph provider to sync first-party cookies and addressable IDs. This ensures that your data remains accessible and actionable in a cookieless world.
“Many participants at our think tank with Experian expressed the need to find an identity solution while also exploring other ways they can start to address cookie deprecation while maintaining business as usual.”
Callie Askenas, Director of Publisher Development, OpenX
How Experian and OpenX can help
Graph from Experian captures all available digital identifiers in real-time and resolves them back to individuals and households. We’re signal agnostic, continuously expand the IDs we support, and futureproof identity resolution through a combination of deterministic, probabilistic, and cookieless identifiers.
Experian is a key player in OpenX’s OpenAudience solution and helps to power many of their data segments as well as their identity graph. While OpenX collaborates with a variety of providers and operates a fully interoperable platform, Experian remains valuable to the core technology within OpenX’s supply-side platform (SSP).
Experian can help you prepare for the cookieless future
It’s clear that the cookieless future poses some unique challenges for publishers, but there are solutions. Publishers and their supply-side partners can come up with strategies to target consumers in intentional ways by continually testing multiple identifiers and cookieless solutions, developing their own persistent ID, creating velvet rope content, and returning to contextual targeting. Collectively, these actionable strategies can help ensure that publishers have a more successful transition into a cookieless future.
Experian has been preparing for signal loss for quite some time and we continue to make substantial investments to ensure our resiliency and the resiliency of our customers. We continue to diversify our signal creating profiles with more persistent identifiers which allows us to pair authentication-based universal identifiers such as UID2 into our Graph seamlessly.
Experian is ready and we are here to navigate the future of privacy together.
To find out more about how Experian can help you prepare for the cookieless future, get in touch with a member of our team today.
Latest posts
Year after year, CES signals where marketing is headed next. In 2026, the message was clear. Progress comes from connecting data, intelligence, and outcomes with discipline, not spectacle. Across AI, programmatic media, and measurement, the same priorities surfaced again and again. Under the bright lights of Las Vegas, three themes cut through, and each one pointed to a future where data, intelligence, and outcomes move in lockstep. Here are the three themes that defined CES 2026. 1. Agentic AI proved that it’s only as good as its data inputs AI was once again the star of the show. At CES 2026, marketers focused less on demos and more on proof that AI improves decisions, reduces friction, and drives outcomes. Every credible use case traced back to accurate, privacy-first data. What changed at CES was how that intelligence is being applied. Agentic AI systems designed to act autonomously are moving beyond insights and into execution. From media buying to optimization, these agents are increasingly expected to make decisions at speed and scale. That shift raises the stakes for data quality. When AI is operating campaigns, not just informing them, accuracy and privacy are non-negotiable. Without accurate, privacy compliant data, AI agents struggle to reflect real behavior or support responsible personalization. A reliable, privacy-first data foundation is what turns AI from an interesting experiment into an operational advantage. That advantage gets even stronger when it’s anchored in an identity graph that understands people and households across channels. When identity and intelligence move together, AI becomes more accurate, accountable, and effective at driving outcomes. In an AI first world, the strongest signal isn't scale. It's data quality. 2. Curation goes mainstream Curation is no longer experimental. At CES, it showed up as an mandated capability for buyers and sellers navigating fragmented signals and complex supply paths. Marketers want intentional media buys they can explain, defend, and repeat. AI is accelerating this shift. As AI systems take on more responsibility for planning, packaging, and optimization, curation provides the guardrails. It defines what “good” looks like (premium supply, trusted data, and clear performance goals), and allows AI to operate within those constraints driving the optimal outcomes for marketers. Rather than maximizing inventory access, curation prioritizes control, transparency, and performance. Buyers want premium supply aligned to specific goals. Sellers want clearer paths to demand. They can play the odds or own the outcome. When data leads, they own it. When curation is powered by high-fidelity audiences and a connected identity framework, it becomes even stronger. That’s what allows curated deals to deliver clarity, confidence, and repeatable performance. This shift reflects a broader move away from probability-based buying toward outcome ownership, where AI-driven systems are measured not on activity, but on results. 3. Activation and measurement finally shared the same stage Activation and measurement are now coming together around shared data and identity. CES 2026 marked a turning point where closing the loop felt achievable, not aspirational. Both the buy- and sell-sides face pressure to show that media investment drives outcomes. Agentic AI was a quiet driver of this optimism. As AI agents increasingly manage activation decisions in real time, marketers need measurement systems that can keep up. That requires a shared data and identity foundation. One that allows AI-driven actions to be evaluated against outcomes consistently, across channels and partners. "The companies leading in alternative data aren't just optimizing for growth, they're setting a new standard for inclusion, precision and responsible lending." – Ashley Knight, SVP of Product Management, Experian Achieving that requires a consistent identity spine that connects planning, activation, and outcomes across channels. And that spine is strongest when it’s built on accurate, privacy-first data and audiences that understand people and households. That connection allows marketers to move beyond proxy metrics and evaluate performance based on tangible results. When campaigns and measurement rely on the same data foundation, AI driven platforms can optimize toward outcomes such as new customers, account growth, or in-store activity, not just delivery metrics. That’s the connective layer that turns disconnected touchpoints into a measurable, outcomes-based system. The takeaway CES made one thing clear: agentic AI is moving marketing from intention to execution. But only for teams with the right foundation. AI is maturing, but only for teams with accurate, connected, privacy-first data that AI agents can act on responsibly. Curation is scaling, giving both humans and AI systems clearer paths to quality, control, and differentiation. Activation and measurement are aligning, allowing AI-driven decisions to be judged on outcomes, not assumptions. We’re building for that world today. One where agentic AI operates on a trusted data and identity foundation, curation defines the rules, and outcomes determine success. With the right foundation and the deep data inputs, you can move faster, reduce risk, and let intelligence (human and artificial) work together to deliver results that last long after the neon lights fade.
Remember when “6-7” was all over your feed and no one really knew why, but somehow everyone got it? In 2025, the internet proved that connection doesn’t always make sense — at least not at first. The “6-7” meme was random, ridiculous, and everywhere. It spread because it felt connected; an inside joke everyone could share. Marketing in 2026 will have its own 6-7 moment. Experian’s 2026 Digital trends and predictions report explores how 2026 will be defined by connection: between activation and measurement, data and AI, platforms and outcomes. After years of fragmentation, the industry is finally unifying around shared foundations: data accuracy, identity resilience, and measurable performance. Here are three connections to watch for in 2026. 1. AI is only as good as its data foundation AI’s performance depends on the quality, recency, and integrity of its inputs. In 2026, marketers will recognize that the differentiator is not the algorithm itself but the data that informs it. As AI becomes embedded into workflows (from audience discovery to media optimization) accurate identity and privacy-safe data become essential. Why it matters Good data fuels responsible automation, predictive insight, and personalization that feels human. Without it, even the most advanced models will simply automate bad decisions faster. What actions should marketers take to strengthen their data foundation? To make AI adaptive, ethical, and aligned with real-world context, marketers need to strengthen the data foundation beneath it. In 2026, that means taking four core actions: 1. Prioritize accuracy Verify data and anchor it in real human identity, rather than inferred or fragmented signals. 2. Keep data fresh Ensure inputs stay current through continuous updates that reflect real-time consumer behavior and conditions. 3. Maintain consent standards Source data responsibly and stay compliant with privacy regulations emerging across 20+ U.S. states. 4. Enable interoperability Connect data securely across platforms through a signal-agnostic identity framework that supports consistency and scale. When these elements come together, AI becomes more than just automation: it becomes adaptive, ethical, and responsive to real-world context. 2. Commerce media expands beyond retail Commerce media is no longer just a retail play. What began as retailers monetizing their data and media has evolved into a multi-sector movement uniting data, media, and transaction insights. Auto, travel, CPG, and even financial brands are launching their own media networks or partnering with existing ones to close the loop between exposure and conversion.
This content is password protected. To view it please enter your password below: Password: