In this article…
Third-party cookies have been the foundation of targeted advertising for a long time. Around 75% of marketers worldwide rely on third-party cookies, with approximately 42.2% of websites using them to gather user data. These tiny bits of code silently track our online activities, collecting search history and product preferences to help advertisers tailor their campaigns to our needs.
However, as fears over online privacy have grown, the third-party cookie era is ending. A 2020 Deloitte survey revealed that 65% of respondents had major concerns about excessive cookie use; consumers want personalized ad experiences but don’t want to feel like marketers are tracking their every online move.
While some other search engines have already eliminated third-party cookies, Google Chrome — which holds 65% of the global browser market — is just beginning to phase them out as new alternatives are tested. Google’s third-party cookie deprecation is expected to impact marketers in a big way.
Let’s talk about what that impact will look like and how marketers can reconcile consumer demands for browsing privacy with their preference for personalized ad experiences.
What is cookie deprecation?
Cookie deprecation is a process where web browsers, like Google Chrome, phase out the use of a specific cookie type. In the context of this article, we’re referring to third-party cookies, small pieces of data stored on a device by websites a person visits.
Advertisers and other companies use third-party cookies to track a person’s actions on the web. They help those companies learn about an individual’s interests and show them targeted ads. But over time, internet users have become more aware of cookies and how much companies know about them, so browsers are phasing out third-party cookies to respect user privacy.
The timeline and reasons behind the shift
In January 2020, Google announced it would no longer allow third-party marketing cookies by 2022. Realizing it needed to find an alternative first, it pushed the deadline back several times over the years, eventually confirming that third-party cookies would be deprecated by the end of 2024 — a big deal for the advertising industry. So, what’s the motivation behind this change?
Many people are becoming increasingly worried about online privacy and the intrusiveness of third-party cookies. In recent years, lawmakers have pressured tech companies to make changes in response to their constituents’ concerns about online privacy rights. By getting rid of third-party cookies, browsers like Chrome are trying to give users more control over their data and respect privacy demands to create a more privacy-friendly browsing experience.
This shift is part of a broader trend in the digital world toward greater privacy protections, with browsers like Firefox and Safari having already phased out third-party cookies. We’ve also seen other significant moves in this direction, including the following. These regulatory efforts reflect a growing awareness of how important it is to protect data privacy and consumer rights in a world gone digital.
- Apple’s App Tracking Transparency (ATT) framework was introduced in iOS 14.5, requiring users to get permission before tracking their data across other apps or websites.
- The Global Privacy Control (GPC) strives to improve users’ control over their internet privacy by letting them signal their preferences for data sharing.
- Europe’s General Data Protection Regulation (GDPR) and California’s Consumer Privacy Act (CCPA) have strict guidelines for how companies handle personal data to prioritize transparency and user consent.
Google’s most popular browser, Chrome, recently made its first big move toward third-party cookie deprecation. On January 4, 2024, Google announced the rollout of a new “Tracking Protection” feature, limiting cross-site tracking by default. They’re doing this gradually, activating the feature for 1% of random Chrome users worldwide, about 30 million people.
Google Chrome’s cookie phase-out impact
Chrome’s third-party cookie deprecation is expected to have the farthest-reaching consequences for marketers like you, as it has almost two-thirds of the browser market worldwide. It’s important to note that this phase-out specifically targets third-party cookies, not first-party cookies, which are generated and stored by the website a user visits directly and will be unaffected by this change.
Here are a few of the impacts to prepare for.
Reduced tracking capabilities
Once third-party cookies are eliminated, you may face challenges in understanding consumer behavior across different websites. Without this tracking capability, understanding your audiences and effectively tailoring advertising campaigns might become more difficult.
Required shift in strategy
It will be key for you to adapt your advertising strategies to rely less on third-party data and more on alternative targeting methods. This shift may involve greater emphasis on contextual advertising, which targets people based on the content of the websites they visit instead of browsing history, and first-party data gathered directly from site users to personalize advertising campaigns.
Additionally, in order to move beyond reliance on cookies and third-party identifiers, activation platforms like demand-side platforms (DSPs) must evolve to identify addressable IDs within bid streams. This adaptability is essential as digital advertising shifts toward privacy and cookieless environments. By being able to recognize addressable IDs in bid streams, DSPs can help facilitate more accurate, personalized targeting and help advertisers reach their audiences across channels and devices without privacy concerns. As a marketer, you should understand the capabilities of your chosen platforms and inquire about their support for evolving targeting methods and data sources.
New compliance regulations
By limiting the ability to track users across the web, Google aims to enhance user privacy and control over their data. You’ll need to embrace privacy-centric approaches to advertising to comply with evolving privacy regulations and build trust with consumers.
Challenges posed by Google’s cookie deprecation in 2024
Marketers are responding to the announcement of third-party cookie deprecation with an eye toward innovation as they proactively seek new solutions. As of early 2024, 56% of marketers in the United States were testing cookieless alternatives. Knowing their customer acquisition will be less efficient without these cookies, they’re looking for ways to maximize the value of their existing customers, increase retention, and make better use of first-party data. Others have been slow to react due to a lack of awareness or uncertainty about how to handle the changes.
Here are some additional challenges advertisers can expect to face as third-party cookies begin to be phased out.
Impact on targeting and personalization
The decline of third-party cookies is expected to have a major impact on targeting and personalization strategies. As advertisers will no longer have access to individual browsing histories, some may struggle to reach specific audiences and deliver personalized content. As a result, they have begun to explore using first-party data and contextual targeting to preserve relevance and consumer engagement.
Attribution and measurement challenges
The future removal of third-party cookies may also make it harder to measure the effectiveness of advertising and accurately attribute conversions. Marketers are currently searching for reliable alternatives to track users across channels and touchpoints. Google’s Attribution Reporting API and private aggregation methods are being explored as potential solutions to these attribution and measurement challenges.
Data privacy and compliance challenges
Future third-party cookie deprecation makes data privacy and compliance a top priority. With the introduction of stricter regulations like GDPR and CCPA, you need to ensure your data collection and usage practices comply with privacy laws. To maintain the trust of consumers and abide by regulatory requirements, it has become essential to shift toward first-party data collection and more transparent consent mechanisms.
Lack of resources to invest in alternative solutions
One of the main challenges advertisers will face with future cookie deprecation is a lack of resources to invest in alternative solutions. Many businesses don’t have the financial resources or technical expertise to explore and implement new targeting and measurement methods.
Additionally, some companies have been reluctant to adopt new solutions because they want to thoroughly test and evaluate their efficacy. The fear of investing resources in unproven technologies or strategies has led to a cautious approach among marketers and advertisers. However, this reluctance to adapt could hinder their ability to remain competitive.
Many companies may also face logistical challenges due to the complexity of transitioning from reliance on third-party cookies to alternative data sources and targeting methods. Integrating new technologies, adjusting workflows, and retraining staff requires time and effort, adding to the complexity of the transition.
Adapting to a cookieless world
Even though third-party cookies are going away, you still have other types of data in your arsenal to help you continue reaching your audience.
Use first-party data
First-party data, collected from customers or website visitors directly, offers valuable insights into consumer behavior and preferences. By investing in proven data collection methods and analytics tools, you can understand your audience more accurately and tailor your messaging and targeting accordingly.
Explore Experian’s signal-agnostic products
Experian is leading the charge in preparing marketers for a cookieless world with our audiences and foundation built from over 200 offline data sources. Our signal-agnostic Graph supports universal IDs and enables brands to expand their existing IDs to all other digital and addressable IDs within our Graph.
Advertisers can enhance their strategies by working with Experian to enrich first-party data with our demographic and behavioral attributes to gain a better understanding of audiences without cookies. Additionally, our data collaboration solutions enable marketers to collaborate with partner data, deriving greater value and enabling deeper insights for effective marketing campaigns. Experian is future-proofing identity strategies to ensure continued marketing performance and success.
Discover alternative targeting technologies
As third-party cookies become obsolete, marketers are starting to investigate alternative targeting technologies for optimizing campaigns. These may include contextual targeting, which focuses on the content and context of a user’s web browsing activity, as well as emerging solutions like cohort-based targeting, which groups users based on shared interests and behaviors. Think of third-party cookie deprecation as the opportunity to innovate and rethink strategies that have relied too heavily on one type of technology.
Best practices for marketers in the post-cookie era
Embracing best practices for a privacy-centric advertising environment can help you maintain your effectiveness and thrive in a cookieless world. Let’s talk strategies to help you succeed in the post-cookie era.
Focus on customer consent and transparency
Having consumers opt-in to sharing their data is an excellent way to build your data pool ethically. One way to do this is by encouraging users to create accounts or log in to access exclusive content or features while providing valuable information in exchange for their data. Another way is by conducting surveys or quizzes to gather insights directly from users about their preferences, interests, and behaviors. You could also use interactive content like polls and contests to engage users and collect data. These approaches can enrich your data pool while demonstrating your commitment to respecting user privacy and preferences.
Prioritize obtaining explicit consent from users before using or gathering their data for your advertising. Implement transparent data practices by clearly communicating to consumers how you’ll use their data and providing easily accessible options to manage their privacy preferences. By building trust through transparency and respecting user choices, you can forge stronger relationships with your audience.
Enhance the customer experience with quality data
In the future absence of third-party cookies, first-party data will be paramount in helping you understand and engage with your audience effectively. Invest in strategies that will help you collect high-quality data directly from customers, such as through interactive content, preference centers, and loyalty programs. By obtaining and using accurate, relevant data, you can provide personalized experiences that resonate with audiences and drive meaningful engagement.
Collaborate with evolving technology platforms
As Google’s cookie deprecation reshapes advertising, it will be important to collaborate closely with technology providers and key industry players who are adapting to these changes. Make sure your chosen platforms are keeping up with the industry and offering solutions that align with the shift to cookieless environments. Partnering with platforms that are proactively addressing these challenges will make it easier to navigate the changing marketing environment and drive better results for consumers and campaigns.
Prepare for the future of advertising with Experian
Despite the fact that third-party cookies are going away, there’s no need to panic. This change offers new opportunities for innovation and strategic refocus. With the emergence of alternative targeting methods, such as first-party data, you can still reach your target audiences effectively while respecting user privacy. By staying proactive and utilizing your available resources, you can navigate the cookieless future with confidence and continue to drive meaningful connections with your audiences.
With a robust suite of data-driven solutions and a breadth of addressable IDs, Experian can help you continue to reach and engage with your target audiences. Our Consumer Sync identity solution is signal-agnostic and empowers consistent consumer interactions, while our Consumer View data solution offers privacy-compliant data to help you connect meaningfully with consumers and reach audiences effectively. Connect with Experian today to discover how we can help you prepare for and thrive in a cookieless future.
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2023 has been an unprecedented year for AdTech. With new challenges arising every day — from ongoing signal loss to changing consumer privacy regulations– staying on top of trends is more important than ever before. To help you stay informed on successful tactics from across our ecosystem we’ve compiled a list of our top five 2023 AdTech blog posts. Keep reading to learn about the top themes from CES and Cannes this year, why contextual targeting is so popular, and more – so you can remain competitive in today's rapidly changing environment. #5 CES 2023: Clean rooms, activation, and more Experian attended CES in January to kick off the AdTech year, connecting with partners, clients, and industry leaders to understand their challenges and goals. Discussions were focused on clean rooms and digital activation to address data deprecation and consumer privacy. Clean rooms have the potential to standardize data and address interoperability issues. Digital activation was predicted to increase significantly in 2023, with more focus on demand-side, video, and supply-side platforms. Did digital activation increase in 2023? Download our 2024 Digital audience trends and predictions report to find out. Read our full 2023 CES recap here. Meet with the Experian team at CES 2024 CES is around the corner, and we are looking forward to the opportunity to connect with you in our suite at the Aria Hotel & Casino in Las Vegas, January 9-12. There is no better place to connect and discuss the latest industry trends and innovations. Let’s start the conversation! Book a meeting with our team #4 Experian identity resolution now available in AWS Clean Rooms Earlier this year, Experian announced that our identity resolution solution is now available in AWS Clean Rooms. Through this new partnership, customers can pair Experian's identity capabilities with AWS Clean Rooms to safely collaborate and access deeper insights without exposing sensitive data. Check out the full announcement to hear from Kalyani Koppisetti, Principal Partner Solution Architect at AWS, Matt Miller, Business Development Principal at AWS, and Tyler Middleton, Sr. Partner Marketing Manager at Experian. #3 Four key themes from Cannes Lions 2023 At Cannes Lions 2023, discussions revolved around four main themes: Signal loss: Experts discussed the importance of adapting paid media strategies to align with consumer behaviors. Collaboration: Discussions highlighted the need for industry players to collaborate and focus on solutions that benefit all stakeholders in the ecosystem. Personalization: This was a key topic and emphasized the growing significance of tailored content, data-driven insights, and first-party data solutions for advertisers adapting to cookie deprecation and the evolving consumer privacy landscape. Balancing AI and creativity: Attendees explored how to balance AI capabilities and nurture creativity while maintaining a human touch. Cannes 2024 will be here before we know it and Experian will be there. To get ready, check out this post by Tyler Middleton, Sr. Partner Marketing Manager, to hear from a first-time Cannes attendee, #2 Three key insights from our 2023 Holiday spending report Experian's annual Holiday spending trends and insights report analyzed recent trends, consumer spending habits, and anticipated what was to come in the 2023 holiday shopping season. This blog post covered three key insights from our report: Consumers are starting their holiday shopping earlier, particularly with online sales. Online sales have been increasing year-over-year, surpassing in-store sales. Spending during the 2022 holiday season was lower than in previous years but is expected to be on par with what was seen in 2023. For advice from our experts and access to all of our predictions for this year’s holiday shopping season, download our 2023 Holiday spending trends and insights report today. #1 How contextual ad targeting addresses signal loss Our most viewed blog post of 2023 was How contextual ad targeting addresses signal loss. Marketers are seeking new solutions due to signal loss caused by the phasing out of third-party cookies. Contextual ad targeting offers a way to combine contextual signals with machine learning for more accurate targeting. Experian's Jason Andersen and Yieldmo's Alex Johnston discuss the challenges of signal loss, addressability, the importance of good creative, and tips for digital ad success in this blog post. By understanding contextual advertising, marketers can create powerful and effective campaigns to reach target audiences. Subscribe to our newsletter Sign up for our email newsletter to receive our latest blog posts, product and partnership announcements, thought leadership, and more straight to your inbox. Subscribe Latest posts
In this article… Why AI and CTV are a great match The rising popularity of CTV How is AI already being used in CTV? Demand-side platforms Artificial intelligence (AI) and connected TV (CTV) have a perfect synergy that’s revolutionizing how advertisers connect with their audiences. CTV serves as a medium for streaming content, while AI acts as a sophisticated technology that improves the performance of CTV advertising campaigns. The integration of these two technologies has paved the way for advertisers to reach their target audience more effectively, making CTV advertising a powerful and efficient tool. In this blog post, we’ll dive into how these technologies work together — and why you should jump on board with AI for CTV advertising if you haven’t already. Why AI and CTV are a great match CTV and AI are transforming how advertisers connect with their audiences and improving the performance of their advertising campaigns in the CTV space. They work together to make advertising smarter and more enjoyable for everyone involved. AI uses sophisticated computer programs to analyze and understand data, while CTV refers to the streaming services that consumers use at home. But what makes them a great match in advertising? AI uses data to determine which TV ads are most exciting and relevant to certain people, and it can even adjust ads in real time to ensure viewers are always getting the most personalized experience. AI can provide suggestions to viewers based on previously watched content to help them find what they’d enjoy watching next. To sum it up, AI allows for: Precise targeting: AI uses data to determine which TV ads are most exciting and relevant to certain people. Personalization: AI can adjust ads in real time to ensure viewers are always getting the most personalized experience. Effective ad insertion: AI can provide suggestions to viewers based on previously watched content to help them find what they’d enjoy watching next. CTV facilitates these AI-driven strategies for enhanced user engagement and satisfaction. The rising popularity of CTV CTV has become increasingly popular as people change the way they watch TV. Instead of the traditional approach, more viewers are now choosing CTV platforms for their entertainment. One of the main reasons for this shift is that CTV offers greater flexibility and lets viewers watch content at their convenience. The ability to skip ads on many CTV platforms also improves the experience. CTV offers a great opportunity to interact with your target audience in a more engaging way. CTV allows for highly targeted advertising capabilities so you can reach specific demographics and households with tailored messages. Additionally, CTV provides valuable data insights that enable you to measure campaign effectiveness accurately. If you haven’t embraced this advertising channel yet, you may be missing out on a growing and engaged audience. Here are three reasons you should add CTV to your advertising strategy. Global video ad impressions As a global platform, CTV has the unique ability to reach audiences worldwide. Unlike traditional TV, CTV transcends geographical boundaries and brings marketers a global audience, which makes it an ideal channel for global ad campaigns. No matter your target audience, they’re consuming content on CTV. In fact, a recent study showed that 51% of global video ad impressions came from CTV in 2022. This abundance of global video ad impressions generates vast amounts of data, which AI can process in real time to help you make data-driven decisions and optimize your campaigns for diverse international audiences. AI can analyze viewer data from various regions, identify audience preferences and behaviors across borders, and tailor ad content accordingly. These data analysis capabilities ensure your ads get in front of the right viewers. Viewers prefer ad-supported CTV In 2020, the viewing time of ad-supported CTV surged by 55% while subscription video on demand decreased by 30%, according to TVision Insights. Viewers have a well-established preference for ad-supported CTV due, in part, to cost-effective access to premium content. Viewers are more engaged and less resistant to ads, as AI tailors ad content to viewer preferences and behavior to enhance ad relevance. AI-powered insights can also aid in viewer retention and help you optimize your CTV campaigns. By accommodating viewers’ preference for ad-supported CTV and harnessing AI to improve the ad experience, you’re more likely to be successful in your marketing efforts. CTV outpaces mobile and desktop for digital video viewing eMarketer recently reported that U.S. adults spend 7.5+ hours each day on CTV — more than half of their digital video viewing time. Comparatively, they only spend 37.5% of their viewing time on mobile and 10% on desktops and laptops. These statistics demonstrate that CTV has become the preferred platform for digital video consumption, as viewers enjoy larger screens with superior quality for an immersive experience. It's important to note that AI is an essential CTV marketing tool, as it allows for precise targeting and content optimization. By utilizing AI on CTV, you can take advantage of this trend and deliver more engaging and effective campaigns to a growing and engaged audience. How is AI already being used in CTV? CTV has been integrated with AI across various facets and has revolutionized the television landscape. Here's a look at how AI is already shaping the CTV experience: Generative AI ads Generative AI ads are taking CTV personalization to a whole new level. These innovative ads are customized versions of the same CTV ad to suit individual viewers. Some AI tools can generate several versions of the same CTV ad — swapping the actor’s clothing and voiceover elements like store locations, local deals, promo codes, and more — and can create up to thousands of personalized iterations in just a few seconds. Such capabilities are a game-changing approach to connecting with your audience. Next, we dive into the advantages and impact of generative AI ads, and explore their transformative role in CTV advertising. Contextual ads vs personal data Generative AI ads use personal data, such as viewing history and demographics, to create highly personalized ad experiences. This sets them apart from contextual ads, which rely solely on the content being viewed. Using AI to harness this data, you can move beyond traditional contextual targeting and ensure your ads connect with viewers on a more individualized level. Generative AI ads can be used to A/B test Generative AI ads are not just about personalization; they also open the door to A/B testing. Being able to create several versions of one ad quickly allows you to experiment with various ad elements, such as messaging, visuals, and calls to action, to identify what works best for different segments of your audience and drives the best performance. This flexibility is especially valuable for refining ad campaigns and maximizing their impact. What’s next for AI-generated ads like this? The potential of AI-generated ads is exciting. As AI technologies constantly advance, we can expect even more personalized and automated CTV advertising. It’s a good idea to keep up with the latest AI-driven innovations to create more effective ad campaigns in the fast-evolving CTV space. The possibilities are endless, and you’ll likely find the most success when you embrace AI in CTV advertising. Optimize streaming quality AI helps viewers enjoy more seamless CTV experiences. By assessing network speed and user preferences, AI optimizes video quality in real time to reduce buffering interruptions. For instance, streaming platforms use AI to adjust video settings based on a user's connection speed. This guarantees an uninterrupted and enjoyable viewing experience. Review content for compliance AI also has a part to play in quality assurance and compliance management. It assesses content alignment with technical parameters and moderates compliance with local age restrictions and privacy regulations. This means AI can identify and filter out unsuitable content to provide a safer and more enjoyable viewing environment for audiences while safeguarding brands from association with undesirable material. Voice command AI-powered voice command technology is increasingly used to control CTV viewing. This technology is embedded in streaming devices and smart TVs and allows viewers to interact with their CTV content through voice-activated commands. This personalizes the viewing experience and improves convenience, as it eliminates the need for remote controls. CTV-integrated voice assistants like Google Assistant, Amazon Alexa, Apple Siri, and Samsung Bixby offer a more human-like interaction with the television, allowing users to give commands and receive tailored responses. Content recommendations AI can offer content recommendations that provide viewers a more personalized and engaging experience. Major over-the-top (OTT) services like Netflix, Hulu, and Amazon Prime use AI-driven data analysis to deliver tailored content suggestions to their audiences. By analyzing user habits in detail, AI can recommend content based on factors such as actors, genres, reviews, and countries of origin. This personalized approach helps viewers discover content that matches their preferences and enhances their viewing experience. Advertising Programmatic ad buying, driven by AI, automatically matches ad placements to specific audience segments based on behavioral patterns. It improves ad delivery by moving away from gross rating points (GRP) to more intelligent and targeted placements. This benefits marketers by ensuring ads are seen by the right people at the right time. It’s also cost-effective for publishers, as it maximizes the sale of ad spots to suitable buyers. Automatic content recognition (ACR) technology, which AI powers, is integrated into smart TVs and streaming devices to improve ad relevance. It provides contextual targeting and extends the reach of ads across multiple devices. For example, platforms like Roku use ACR data to display ads to viewers who haven’t seen them on traditional TV. Similarly, Samba TV retargets mobile users based on IP address and aligns their viewing habits with their smart TVs. Demand-side platforms CTV advertising relies heavily on demand-side platforms (DSPs) to efficiently manage and optimize ad campaigns. These platforms use machine learning and AI in several important ways: Using machine learning and AI to address data fragmentation Data is abundant but fragmented when it comes to CTV advertising. DSPs are flooded with a massive amount of data, including information about households, viewer behavior, and viewing patterns. This data is far too much for manual analysis to handle effectively, which is where AI comes in. By integrating machine learning algorithms into DSPs, AI can harmonize this fragmented data and provide valuable insights and a holistic view of your audience. AI can process zettabytes of data in real time, which streamlines the decision-making process and empowers you to compete quickly for limited CTV impression opportunities. Predicting advertising outcomes with AI AI is quickly changing the way we predict and optimize advertising outcomes. TV buying and optimization platforms are now using AI to improve ad performance. With machine learning, these platforms can anticipate which ad creatives will produce the best results based on various non-creative factors. These include the context of the ad, the audience's profiles, the time of day it is displayed, and the frequency of the ad display. By relying on AI to make these predictions, you can make sure your campaigns are highly optimized for success and deliver more relevant, compelling ads to viewers. Optimizing generative ads AI is also driving optimization in generative ads. These personalized versions of the same CTV ad can be tailored to suit individual viewers. By utilizing AI-driven analytics, DSPs can process extensive amounts of data in real time and optimize generative ads to ensure they align with viewers' preferences and behaviors. This level of personalization is a game-changer in CTV advertising that boosts engagement and delivers content that truly resonates with the audience. Add AI to your CTV strategy today Integrating AI into your CTV strategy can help you stay competitive and ensure your ad campaigns are effective and engaging. At Experian, we’re ready to help you elevate your CTV advertising and implement AI as part of your strategy. Our solutions, such as Consumer View and Consumer Sync, provide valuable audience insights, enhance targeting capabilities, and optimize engagement on TV. Plus, our partnerships with leading media marketing solutions can help you achieve greater success through effective advanced television advertising. As you incorporate AI into your CTV strategy, you’ll be able to make more data-driven decisions, deliver more relevant content, and reach the right audience at the right time. Explore Experian's TV solutions and empower your CTV advertising with AI today. Start exploring Latest posts
The digital advertising landscape is undergoing a significant transformation with the gradual deprecation of third-party cookies. This shift necessitates the adoption of new strategies for audience targeting and data management. In our next Ask the Expert segment, we explore this evolution, discussing new strategies for audience targeting and data management in a world without cookies. We’re joined by industry leaders, Gabe Richman, Senior Director of Data Partnerships at The Trade Desk, and Chris Feo, Experian’s SVP of Sales & Partnership who spotlight The Trade Desk’s innovative approach to navigating a cookieless future. Tune in to our Q&A below to learn more about these topics and learn how the collaborative efforts of Experian and The Trade Desk offer a glimpse into the future of advertising. Cookieless IDs are the new face of identity in advertising Traditional tracking and targeting techniques are being replaced by more advanced and privacy-conscious methods. Unified I.D. 2.0 (UID2), led by The Trade Desk, exemplifies this shift, offering a new identifier based on encrypted email addresses or phone numbers. This approach not only caters to the evolving privacy regulations but also places greater control in the hands of consumers. UID2’s design fundamentally differs from cookies since it is rooted in transparency and consumer consent. UID2: A catalyst for industry-wide adoption UID2’s journey reflects a rising industry-wide recognition of its value across the industry. The adoption of UID2 by major publishers, demand-side platforms, and advertisers indicates a shift toward more sustainable and consumer-friendly approaches to identity in advertising. This is particularly evident in areas like connected TV (CTV), where UID2 is rapidly becoming a currency and standard. “The purpose of UID2 is not only to create a better ID for advertisers and publishers to achieve their objectives, but also to benefit the consumers. Unlike cookies, UID2 provides transparency and control to the consumers for the first time.”gabe richman, sr. director, data partnerships, the trade desk How Experian and The Trade Desk work together The partnership between The Trade Desk and Experian goes beyond adapting to the absence of cookies. Our joint efforts highlight a commitment to developing solutions that cater to advertiser’s needs while respecting consumer privacy, a balancing act becoming increasingly crucial in today’s digital ecosystem. The Trade Desk's emphasis on UID2 as a foundational element in the open web, campaign design, and activation is a testament to the potential of new identifiers in enhancing advertising efficacy. Similarly, our ability to utilize these identifiers to deliver detailed audience insights offers advertisers a powerful tool to remain effective in a post-cookie world. Experian’s role in the adoption of UID2 Experian's integration strategies have played a critical role in diversifying the applications of UID2. By partnering with The Trade Desk, we help broaden the reach and effectiveness of UID2 across various advertising channels. In terms of reach – by incorporating a prominent cookieless ID, we further amplify the reach of UID2. The increased adoption of this new ID allows the digital ecosystem the ability to interact using an alternative identifier, thereby broadening the potential audience. In terms of effectiveness – we help advertisers serve relevant ads to the right audiences, ensuring the relevance of the ads and control over their frequency. Targeting with Geo-Indexed audiences The Trade Desk works with Experian to ingest and host our syndicated audiences. This partnership gives The Trade Desk’s clients access to over 2,400 syndicated audiences that span across eight verticals. This includes access to our new Geo-Indexed audiences that allow brands to reach consumers and households based on geographic regions that over-index for a common set of attributes, ultimately offering brands a targeting solution that prioritizes both consumer privacy and accuracy. What a future beyond cookies looks like Looking ahead, the focus in advertising is not solely on replacing cookies but on a broader evolution of the industry. This includes continuing to apply machine learning technologies, like artificial intelligence (AI), to enhance ad personalization and effectiveness. The interplay between creative content, audience insights, and privacy-compliant targeting will become increasingly important as the industry evolves. As cookies become a thing of the past, the initiatives spearheaded by The Trade Desk and Experian will likely set the tone for the next era of digital advertising, and emerging solutions like UID2 are leading the way. Watch the full Q&A Visit our Ask the Expert content hub to watch Gabe and Chris' full conversation about cookieless advertising. In their conversation, Gabe and Chris share more about UID2, consumer transparency, and the importance of consumer data for targeted advertising. Watch now About our experts Gabe Richman, Sr. Director, Data Partnerships, The Trade Desk Gabe Richman is the Senior Director of Data Partnerships at The Trade Desk where he focuses on global identity strategy and platform partnerships as well as driving UID2 and EUID adoption across the broader ecosystem. Prior to joining The Trade Desk in 2021, Gabe held various roles in AdTech at HealthVerity, Wunderkind and LiveRamp. For the last decade Gabe has taken pride in helping advertisers and platforms alike demystify the complex identity landscape and embrace the change needed to preserve the open internet. Gabe is a graduate of the University of Maryland and resides in Los Angeles. Chris Feo, SVP, Sales & Partnerships, Experian As SVP of Sales & Partnerships, Chris has over a decade of experience across identity, data, and programmatic. Chris joined Experian during the Tapad acquisition in November 2020. He joined Tapad with less than 10 employees and has been part of the executive team through both the Telenor and Experian acquisitions. He’s an active advisor, board member, and investor within the AdTech ecosystem. Outside of work, he’s a die-hard golfer, frequent traveler, and husband to his wife, two dogs, and two goats! Latest posts