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.
Get ready for the cookieless future with Experian
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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
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