The cookieless future is here, and it’s time to start thinking about how you will adapt your strategies to this new reality. In a cookieless world, you will need to find new ways to identify and track users across devices. This will require reliance on first-party data, contextual advertising, and alternative identifiers that respect user privacy.
To shed light on this topic, we hosted a panel discussion at Cannes, featuring industry leaders from Cint, Direct Digital Holdings, the IAB, MiQ, Tatari, and Experian.
In this blog post, we’ll explore the future of identity in cookieless advertising. We’ll discuss the challenges and opportunities that this new era presents, and we’ll offer our tips for how to stay ahead of the curve.
How cookieless advertising is evolving
Programmatic advertising is experiencing multiple changes. Let’s dive into three key things you should know.
Cookie deprecation
One significant change is cookie deprecation, which has implications for tracking and targeting. Additionally, understanding the concept of Return on Advertising Spend (ROAS) is becoming increasingly crucial.
The demand and supply-side are coming closer together
Demand-side platforms (DSPs) and supply-side platforms (SSPs) have traditionally been seen as two separate entities. DSPs are used by advertisers to buy ad space, while SSPs are used by publishers to sell ad space. However, in recent years, there has been a trend toward the two sides coming closer together.
This is due to three key factors:
The rise of header bidding
Header bidding is a process where publishers sell their ad space to multiple buyers in a single auction. This allows publishers to get the best possible price for their ad space, and it also allows advertisers to target their ads more effectively.
Cookie deprecation
As third-party cookies are phased out, advertisers need to find new ways to track users, and they are turning to SSPs for help. SSPs can provide advertisers with data about users, such as their demographics and interests. This data can be used to target ads more effectively.
The increasing importance of data
Advertisers are increasingly looking for ways to target their ads more effectively, and they need data to do this. SSPs have access to a wealth of user data, and they’re willing to share this data with advertisers. This is helping to bridge the gap between the two sides.
The trend toward the demand-side and supply-side coming closer together is good news for advertisers and publishers. It means that they can work together to deliver more relevant ads to their users.
Measuring and tracking diverse types of media
The media measurement landscape is rapidly evolving to accommodate new types of media, such as digital out-of-home (DOOH). With ad inventory expanding comes the challenge of establishing identities and connecting them with what advertisers and agencies want to track.
Measurement providers are now being asked to accurately capture instances when individuals are exposed to advertisements at a bus stop in New York City, for example, and tracking their journey and purchase decisions, such as buying a Pepsi.
To navigate cookieless advertising and measurement, we must prioritize building a strong foundational identity framework.
What you should focus on in a cookieless advertising era
In a cookieless advertising era, you will need to focus on two key things: frequency capping and authentic identity.
Frequency capping
Frequency capping is a practice of limiting the number of times an ad is shown to a user. This is important in cookieless advertising because it helps to prevent users from being bombarded with ads. It also helps to ensure that ads are more effective, as users are less likely to ignore or click on ads that they have seen too many times.
Frequency capping is often overhyped and yet overlooked. Instead of solely focusing on frequency, consider approaching it from an identity perspective. One solution could be to achieve a perfect balance between reaching a wider audience and avoiding excessive repetition. By increasing reach in every programmatic buy, you naturally mitigate frequency control concerns.
Authentic identity
The need for authentic identities in a digital and programmatic ecosystem is undeniable. While we explore ways to connect cookies, mobile ads, and other elements, it’s crucial to remember who we are as real individuals. By using anonymized personal identifying information (PII) as a foundation, we can derive insights about households and individuals and set effective frequency caps across different channels.
Don’t solely focus on devices and behaviors in your cookieless advertising strategy and remember the true value of people and their identities.
What’s next for cookieless advertising?
The deprecation of third-party cookies is a major challenge for the digital advertising industry. Advertisers will need to find new ways to track users and target their ads.
Here are three specific trends that we can expect to see in cookieless advertising.
First-party data is moving in-house
Many major media companies, equipped with valuable identifier and first-party data, are choosing to bring it in-house. They are focused on using their data internally rather than sharing it externally.
“Many larger media companies are opting to bring their identifier and first-party data in-house, creating more walled gardens. It seems that companies are prioritizing data control within their own walls instead of sharing it externally.”
laura manning, svp, measurement, cint
Fragmentation will continue
The number of identifiers used to track people online is growing rapidly. In an average household, over a 60-day period, there are 22 different identifiers present. This number is only going to increase as we move away from cookies and toward other identifiers.
This fragmentation makes it difficult to track people accurately and deliver targeted advertising. This means that we need new identity solutions that can help make sense of these new identifiers and provide a more accurate view of people.
A portfolio of solutions will address signal loss
Advertisers are taking a variety of approaches to cookieless advertising. A few of the solutions include:
- Working with alternative IDs.This refers to using alternative identifiers to cookies, such as mobile device IDs or email addresses. These identifiers can be used to track people across different websites and devices, even without cookies.
- Working with data index at a geo level. This refers to using data from a third-party provider to get a better understanding of people’s location. This information can be used to target ads more effectively.
- Working with publisher first-party data that’s been aggregated to a cohort level. This refers to using data that is collected directly from publishers, such as website traffic data or purchase history. This data can be used to create more personalized ads.
- Working with contextual solutions. This refers to using contextual data, such as the content of a website or the weather, to target ads. This can help to ensure that ads are relevant to the user’s interests.
“Cookie deprecation is often exaggerated, and alternate solutions are already emerging. As data moves closer to publishers and first-party data gains prominence, the industry will adapt to the changes.”
mark walker, ceo, direct digital holdings
There is no one-size-fits-all solution for cookies, and you will need to be flexible and adopt a variety of different approaches.
How will these solutions work together?
You can take a waterfall approach to cookieless advertising. A waterfall approach is a process where advertisers bid on ad impressions in sequential order. The first advertiser to meet the minimum bid price wins the impression.
In the context of cookieless advertising, a waterfall approach can be used to prioritize different targeting signals. For example, you might start by bidding on impressions that have a Ramp ID, then move on to impressions that have a geo-contextual signal, and finally bid on impressions that have no signal at all.
This is a flexible approach that can be adapted to different needs and budgets.
Watch our Cannes panel for more on cookieless advertising
We hosted a panel in Cannes that covered the future of identity in cookieless advertising. Check out the full recording below to hear what leaders from Cint, Direct Digital Holdings, the IAB, MiQ, Tatari, and Experian had to say.
Check out more Cannes content:
- Our key takeaways from Cannes Lions 2023
- Insights from a first-time attendee
- Four new marketing strategies for 2023
- Exploring the opportunities in streaming TV advertising
- Maximize ad targeting with supply-side advertising
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In our Ask the Expert Series, we interview leaders from our partner organizations who are helping lead their brands to new heights in AdTech. Today’s interview is with Allison Dewey (Director, Data & Curation) at 33Across. Navigating complexity in digital advertising Digital advertising is more fragmented and privacy-constrained than ever. How is 33Across helping marketers cut through that complexity to drive real outcomes, and what makes your approach distinct? Reaching audiences without compromising scale or performance is one of the toughest challenges for marketers. Users consume content across multiple devices and channels, making it difficult for marketers to identify and accurately target them with the right message. 33Across segments leverage AI-powered contextual and behavioral signals across privacy-safe environments to help marketers accurately identify audiences, whether they’re streaming content on their connected TV or researching products on their mobile device. What sets us apart is that we don’t just identify valuable audiences; we help marketers also target cookieless inventory and power it with real-time signals. Marketplace integration milestones What excites you most about bringing 33Across audiences into Experian’s data marketplace? We’re excited to bring 33Across audiences into Experian’s data marketplace because it connects our unique segments with a powerful data ecosystem that marketers already trust. Buyers looking to activate audiences that are both privacy-safe and performant continue to tap into the Experian data marketplace for high-quality, high-performing data. We offer a wide range of audience verticals, including B2B, demographic, retail purchase data, interest and intent, and political data. In addition, we offer the ability to create custom segments across verticals. Our intent-based audiences, built from contextual and engagement signals, help buyers reach consumers on CTV, desktop, or mobile devices with scale. Being part of Experian’s data marketplace accelerates access to these audiences, drives better ROI, and helps brands future-proof their strategies today. Retail demand signals Retail brands are racing toward privacy-safe, first-party data. Which 33Across retail datasets or segments are experiencing the highest demand, and what makes them a must-have? Retail marketers are leaning into contextual and behavioral intent signals to complement their first-party data strategies. At 33Across, we’re seeing high demand for segments tied to shopping intent, including in-market consumers browsing for categories like fashion, home goods, electronics, and health & wellness. What makes these segments essential is their real-time nature – they can capture consumer interest as it happens. For retail brands looking to expand their reach while respecting privacy, our segments offer scalable, actionable intent that drives results. B2B without cookies Reaching real B2B decision-makers at scale is tough with or without signals. How does 33Across deliver both precision and reach in this environment? B2B marketing often struggles with balancing scale and specificity. 33Across addresses this by combining contextual precision with AI-modeled behavioral signals; this segment approach reaches professionals actively engaging with relevant content and topics, even in environments where IDs are unavailable. Marketers gain access to more signals and, in turn, better reach from 33Across’ unique publisher integrations and audience curation built from machine learning and AI. We surface intent through content consumption patterns and contextual engagement, unlocking valuable, privacy-safe signals at scale. Allowing B2B marketers to reach real decision-makers in a signal-sparse world. Use cases With retail, B2B, and beyond, can you share an example of how brands in these verticals are utilizing your audiences? Top brands that have a user-focused approach use 33Across audiences to drive scale; performance. These brands enable our segments to precisely reach the right users across devices and increase conversion rates; brand awareness. By reaching the right users, brands have higher conversion rates and increase campaign efficiency. Supply path innovation As identifiers disappear, advertisers are looking for scalable, privacy-safe ways to reach real people. How is 33Across helping unlock more addressable inventory and drive performance? By combining contextual, semantic, and engagement-based signals, we deliver intent-based targeting that performs across CTV, display and video. Higher addressability helps marketers not only extend their reach but also deliver personalized messaging across digital channels in a privacy-compliant way. Contact us FAQs How can advertisers reach audiences without traditional identifiers? By using contextual and engagement-based signals, advertisers can target consumers across CTV, mobile, and desktop in a privacy compliant way, even as identifiers become less available. What audience segments are most in demand for retail marketers? Segments tied to shopping intent, such as consumers browsing fashion, electronics, or health products, are highly sought after because they capture real time interest and drive results. How can B2B marketers find decision-makers without cookies? Combining content engagement patterns with machine learning allows marketers to reach professionals actively engaging with relevant topics, even in environments where IDs are unavailable. What makes privacy safe audience targeting effective? Privacy safe targeting uses real time contextual and behavioral signals to deliver relevant messaging across devices and channels without compromising consumer trust. How can real-time intent signals drive demand? Real time intent signals allow advertisers to capture consumer interest as it happens, helping demand side platforms and brands deliver timely, relevant ads that increase engagement and drive conversions across devices like CTV, mobile, and desktop. About our expert Allison Dewey, Director of Data and Curation, 33Across Allison Dewey is the Director of Data & Curation at 33Across, where she oversees data partnerships, integrations, and supply-side curation. With a deep expertise in audience targeting and signal optimization, Allison plays a key role in connecting data into the programmatic world. Allison holds a Bachelor's degree in Psychology from Bates College. About 33Across Rooted in over 15 years of data expertise, 33Across harnesses signals to enrich and expand marketers’ audiences and reach them wherever they consume content. Built from over 300 billion proprietary data signals, we apply machine learning and AI to create over 1,500 B2C and B2B segments using privacy-first principles to reach audiences. Latest posts
Originally appeared in Adweek This holiday advertising season, identity is the real differentiator Marketers are betting big on AI to run their holiday advertising, using it to build predictive audiences, generate creative at scale, and optimize media buys in real time. The draw is clear: greater efficiency, delivered at scale. But here’s the problem: without a solid identity foundation, AI is just guessing. And in a year when consumers are cautious and competition is fierce, guesses won’t deliver the outcomes you need. Experian’s 2025 Holiday spending trends and insights report shows that success this season will depend on connecting the right data to the right audiences in real time. Download the report now Are shoppers really using AI to make holiday purchases? Not yet. Only 12% of consumers plan to use AI tools to shop this season, mostly for finding discounts. Instead, trusted influences (like retailer websites, product reviews, and recommendations) still guide buying decisions. For marketers, that’s a signal to focus on credibility and connection. AI can support your holiday advertising strategy, but trust still wins the sale. Consumer sentiment heading into the holidays is low, but that could mislead marketers Here's why How marketers are really using AI in holiday advertising Behind the scenes, AI is working overtime. Teams use it to segment audiences, test creative, and optimize media in real time. These capabilities are powerful, but only if they’re grounded in accurate, persistent data. Think about the typical holiday shopper. They may browse a product online, validate it in store, and finally purchase days later from a different device than they used while browsing. If AI isn’t anchored in identity, it struggles to connect those touchpoints. Instead of amplifying relevance, it amplifies noise. See our predictions for Black Friday 2025 Why identity is the GPS for AI-driven holiday advertising Identity is what turns AI from a blunt instrument into an accurate tool. By unifying fragmented signals across channels and devices, identity provides the consistent consumer view that AI needs to be effective. With that foundation, AI can do more than churn out models. Instead, it can: Identify the right audiences and filter out waste Personalize with context, not just scale Measure real outcomes, linking exposures to visits and purchases Identity doesn’t just improve efficiency; it creates accountability. And in a season where every holiday advertising campaign dollar is scrutinized, accountability is the difference between investment and waste. Why connected data will make or break Cyber Week How to turn complexity into clarity this holiday season This year's holiday advertising season is complicated. Marketers are confident, consumers are cautious, and AI is somewhere in the middle. The challenge isn’t just speed or volume, it’s accuracy. By pairing AI with identity, you can adapt to real behavior instead of assumptions. You can build campaigns that are consistent across connected TV, retail media, and social platforms. And you can prove results when it matters most. AI isn’t a holiday miracle. But when it’s powered by identity, it can give you clarity in a noisy season and proof of performance when budgets are under scrutiny. Explore Experian's holiday audiences to activate this season What’s the real takeaway for marketers this season? Don’t assume AI alone will save your holiday advertising strategy. It won’t. Consumers still trust human voices more than machines, and your AI models are only as strong as the data beneath them. Identity is the difference between guesswork and accuracy, between activity and impact. This holiday season, the winners won’t be the brands that simply spend more or automate faster. They’ll be the ones that put identity at the core of their AI strategy and meet consumers where they really are. Download Experian’s 2025 Holiday spending trends and insights report to see where consumers are spending and how identity can help your holiday advertising campaigns more effective. Download now FAQs Why isn’t AI enough on its own for holiday advertising? AI works best when it’s grounded in accurate data. Without identity, it can’t connect actions across devices or channels, which limits its effectiveness. How does identity improve AI-driven campaigns? Identity creates a single, persistent view of your audience. That means AI can personalize content, measure conversions, and cut waste with far greater accuracy. What does “identity” mean in marketing terms? It’s the data layer that connects people across their devices, browsers, and behaviors—so your campaigns reach real individuals. How can marketers prove ROI in holiday advertising? By tying exposure to verified outcomes—like store visits or purchases—using identity-linked data. That’s how Experian helps brands move from impressions to impact. Latest posts
What challenge did the pet brand face? A national e-commerce pet supplier wanted to expand into audio advertising to diversify beyond display campaigns. But with only one team member available to test this new channel, they faced three hurdles: Prove performance in a new channel Run lean with limited bandwidth Show purchase intent, engaged site visits, and completion rates fast They needed a partner to handle execution and supply optimization so their lean team could focus on strategy and selling audio internally. Hear how we're working with Audacy to help our clients connect beyond the screen Tune in here The solution: How did Experian Curated Deals help? Audigent, a part of Experian, ran point on setup, optimization, and real-time reporting. The brand turned to Experian Curated Deals. Together we: Streamlined access to curated inventory, cutting intermediaries and boosting efficiency Handled campaign setup and supply-side optimization Delivered real-time demand-side platform (DSP) reporting for agile targeting refinements Provided an extension of their in-house team, giving them bandwidth to focus on pitching audio internally “What stood out about Experian was their real-time control and the depth of their trading team. I knew I could hand them a campaign, and they’d run with it.”Programmatic Media Lead, National e-commerce pet supplier Want to see the full case study? Download it here What results did the campaign deliver? In just a few months, audio transformed from a small test into a top-performing channel: Exceeded KPIs by 63% Increased purchase intent and engagement vs. competing platforms Matched display performance without creative refreshes or incentive overlays Earned budget increases, positioning audio as a long-term investment Reduced internal setup time, freeing the team for strategic projects “Experian became more than just a media partner: they filled critical gaps that would typically require outsized investment in internal resourcing.”CMO, National e-commerce pet supplier Explore more examples of how brands are driving performance with Experian Windstar Cruises Leading athletic retailer Swiss Sense Why does this matter for marketers? For marketers, audio isn’t experimental anymore. It’s a proven channel that can drive both engagement and conversions. This case study shows how brands can: Use Experian Curated Deals to validate new channels with minimal risk. Lean on Experian to handle execution, freeing teams to focus on growth. Drive meaningful engagement and purchase intent, not just impressions. For marketers navigating limited resources and pressure to prove ROI fast, Experian Curated Deals provides both performance and confidence. Want to beat your campaign goals by double digits? Contact us today FAQs What is Experian Curated Deals? Experian Curated Deals streamline access to premium media inventory by eliminating unnecessary intermediaries, optimizing efficiency, and ensuring campaigns perform against KPIs. Why use curated deals for audio advertising? Curated deals help brands test and validate audio quickly, without the heavy lift of manual setup and supply path management. Can audio really drive conversions? Yes. In this case, audio campaigns not only exceeded awareness and engagement goals but also matched the conversion performance traditionally associated with display. How does Experian support lean teams? By managing setup, supply optimization, and reporting, Experian acts as an extension of your team, reducing internal workload while driving performance. Latest posts