In this article…

The concept of the “hedged garden” is gaining traction in the AdTech space as a promising new approach. It offers a more controlled and protected environment for advertisers, reshaping how digital advertising operates. But what exactly is a hedged garden, and could it be the solution we’ve been looking for? Let’s dive into the details and explore its implications.
Walled gardens vs. the open web
Walled gardens continue to disrupt the advertising industry to stay relevant. Google, Meta (Facebook), and Amazon, the largest walled gardens, offer consumer privacy and rich first-party data to advertisers. But, time spent within these platforms, Google and Meta specifically, continues to decrease.
Open web: Pros and cons
On the other hand, the open web allows for more transparency, scale, and constant diversification. Yet, this has not led to increased spending. As a result, the open web continues to lag behind walled gardens. With a heavy reliance on third-party data and growing concerns over signal loss, the open web faces significant challenges. Under these circumstances, advertisers turn to easy activation channels like walled gardens, even as they become less effective to marketers.
Consumers are increasingly focused on privacy, pushing the industry toward alternatives to third-party cookies. As Google rethinks its cookie deprecation plans, channels like connected TV (CTV) and mobile apps, which don’t rely on cookies, are gaining traction.
“A significant portion of web traffic does not support cookies today — and that number will grow as Google rolls out [its] new solution. This means that the industry shouldn’t slow down investments in cookieless solutions, including alternative IDs, first-party data and data-driven contextual targeting.”
kimberly gilberti, general manager, experian
This shift emphasizes first-party data and user choice as a potential solution that balances privacy with effective advertising sources.
Enter the hedged garden
So, what is a hedged garden? The “hedged garden” is a new industry concept where a network of publishers works together to activate first-party data sets in a privacy-compliant way across many partners at scale. These publishers run their businesses with large amounts of first-party consumer data. But they are not big enough on their own.
What does a hedged garden look like? Hedges are more permeable and not as tall as walls. This idea is key to the success of the hedged garden.
Data protection and privacy regulations
As hedged gardens grow, staying compliant with privacy laws like the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) is vital. These rules focus on protecting user data by requiring clear consent and transparency. Hedged gardens help publishers share first-party data in a safe, privacy-compliant way.
By working together, they ensure data is used responsibly, aligning with strict privacy regulations. This not only keeps marketers compliant but also builds trust with consumers at a time when data protection is more important than ever.
Opportunities for marketers in hedged gardens
Hedged gardens offer unique opportunities for marketers to enhance their strategies. Unlike walled gardens, hedged gardens offer the ability to work with a wider array of data sources and provide more diverse insights into audience behavior. This flexibility lets marketers develop more tailored, cross-platform campaigns that reach users in different ways.
Additionally, hedge gardens encourage collaboration with multiple partners, allowing for new partnerships and innovative strategies. With data from several sources, marketers can create more precise and privacy-compliant targeting methods to deliver better results. With the right approach, hedged gardens give marketers the freedom to break away from restrictive ecosystems and drive creative and impactful growth.
How Experian navigates through hedged gardens
As our ecosystem moves toward a hedged garden solution, how do we get involved? We are already a key ingredient for this type of solution within the TV landscape. Below, we walk through how we partner with one of our current TV media clients.
Organize our client’s data and provide a Living Unit ID (LUID)
First, we work with our client to clean and enhance their data, matching individual personal identifiable information (PII), such as an email address, to a household through a LUID. Our Digital Graph, which includes hashed emails (HEMs), cookies, mobile ad IDs (MAIDs), IPs, universal IDs, and CTV IDs, is rebuilt weekly to create accurate, refreshed connections. This consistent linkage creates precise targeting and measurement over time.
Our interconnected Offline and Digital Graphs organize identity into households and devices, enriched with marketing data for deeper insights and better addressability. With partnerships across major platforms, we improve match rates, helping you activate audiences seamlessly for optimal reach and measurement.
Enrich data through Experian Marketing Data
Next, our TV media client licenses our Marketing Attributes. This data is the most comprehensive resource for both traditional and digital marketing campaigns. With its multi-channel availability and addressable capabilities, our Marketing Attributes allow our clients to develop insights and build audiences based on a wide range of attributes within their segment set, ensuring they reach relevant audiences across all channels.
Activate audiences across the ecosystem
Finally, we help our client execute their audiences across the full digital and TV ecosystem. We enable the connection that allows these audiences to be activated by matching partner LUIDs (example: LUID123 = LUIDABC). By using client-specific LUIDs to match up data in a privacy-first manner, we can continue to build strong partnerships within the fast-growing ecosystem.
Are hedged gardens the future of advertising?
Have we found the perfect bridge between walled gardens and the open web? We’re hedging our bets. Our vote is yes, but only time will tell.
The future of advertising is shifting, and hedged gardens appear to be a promising model that balances the scale of walled gardens with the flexibility of the open web. We’re using what we learned from the TV industry to support other hedged garden verticals (retail media networks, audio, and gaming).
Now that we know what a hedged garden is, we should consider what the future holds for both walled and hedged gardens.
What’s next for walled gardens
- Increased privacy regulations: Walled gardens will face stricter regulations on data use, pushing them to adapt for compliance and trust.
- Reduced market dominance: As advertisers want more control, reliance on walled gardens could decline, shifting focus to hedged gardens.
- Diversified ad spend: Brands may spread their budgets across multiple platforms instead of being locked into walled gardens.
The future of hedged gardens
- Greater industry collaboration: Expect more publishers and platforms to join forces in hedged gardens for better data activation.
- Expansion into new channels: Hedged gardens will expand into emerging channels like gaming and connected devices.
- Improved data integration: Privacy-first data sharing in hedged gardens will lead to smoother, more secure ad targeting.
Data collaboration in a post-cookie world
As signal loss becomes a growing concern, the need for secure, privacy-first data collaboration will rise. Hedged gardens offer a pathway forward, allowing advertisers to activate first-party data across multiple partners while complying with data regulations.
This is where Experian Collaboration shines. By enabling data sharing without exposing raw consumer data, clients and partners can collaborate at Experian in their own environment or in clean rooms. Each of these environments allows partners to exchange data and gain insights without compromising privacy.
Maximize your advertising reach with Experian
As the advertising landscape changes, one thing remains clear: successful campaigns will require flexible, privacy-first solutions. At Experian, we are at the forefront of this shift. With our data expertise and advanced collaboration solutions, we’re here to help you navigate through both walled and hedged gardens to maximize your advertising reach.
Together, we can navigate across the walled and hedged garden ecosystems. Contact us to learn how.
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In this article…Why AI and CTV are a great matchThe rising popularity of CTVHow 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. Connect with us 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

Magnite and Experian have formed a strategic integration to enhance cross-device audience targeting in the advertising industry. Magnite, the largest independent sell-side platform, and Experian, a leader in consumer data and identity solutions, aim to optimize advertising capabilities by activating Experian's Consumer View in Magnite Access, an omnichannel audience product suite. This marks one of Experian’s first forays into a direct sell-side integration, a crucial step for the cookieless era. This collaboration offers targeting and efficiency across digital channels, providing advertisers and agencies with a more effective way to reach consumers. With Experian's robust deterministic offline data, generated from consumer purchase activity, enriched with insights on over 250 million U.S. consumers and 126 million U.S. households, advertisers can look forward to a new benchmark in targeted advertising available through Magnite Access. Thriving in a cookieless world With the looming deprecation of third-party cookies, audience, and identity solutions using first-party data are shifting to the sell-side. To that end, Magnite developed Magnite Access, a suite of omnichannel audience products that make it easier for media owners and their advertising partners to maximize the value of their first-party data assets. Access is adept at thriving in a post-cookie world through its effective utilization of sell-side first-party data, including within Magnite Streaming and SpringServe. Magnite Access’ deterministic and probabilistic tools provide sellers and buyers with a comprehensive solution to leverage their first-party data for audience targeting and insights. Experian's solutions are built to work efficiently in offline environments, making them well-equipped to thrive in a cookieless world. Brands can benefit from Experian's deep integrations within the ecosystem, providing data and audience solutions designed to perform in cookieless environments. "We're excited about the collaborative approach between Magnite and Experian. This off-the-shelf integration of Experian's syndicated audiences and the streamlined ability to receive custom audiences will provide a more accurate and cohesive consumer view, allowing us to reach our target audience and enhance campaign performance seamlessly."sam bloom, ceo, camelot Reach and impact As companies continue to rely on data-driven insights to make smarter, more efficient business decisions, partnerships between leading data and technology providers are becoming increasingly valuable. "Integrating with Magnite allows us to translate our extensive offline and online data into actionable, intelligent solutions for making smarter, more efficient business decisions. With Magnite's expertise in the omnichannel sell-side environment, this partnership is poised to empower businesses with the tools they need to succeed in today's data-driven landscape."chris feo, svp, sales & partnerships, experian Strengthening foundations within streaming Magnite's cutting-edge streaming solutions, integrated with Experian's robust data, facilitate a connection between data and inventory, providing enhanced targeting capabilities and consumer insights. "By integrating Experian's Consumer View capabilities into our platform, we are enabling advertisers to unlock improved targeting capabilities while benefiting from Experian's wealth of consumer insights. Our collaboration with Experian amplifies the value of our streaming solutions and enhances the overall advertising ecosystem by seamlessly connecting data, identity, and inventory."kristen williams, svp, strategic partnerships, magnite Precision and innovation: A new advertising era The synergistic partnership between Magnite and Experian is paving the way for a new era in advertising, offering targeting efficiency across digital channels. This collaboration is not merely a confluence of technologies but a testament to both companies' relentless pursuit of excellence in creating a consumer-conscious advertising ecosystem. By harnessing the wealth of consumer insights and integrating state-of-the-art technologies, Magnite and Experian are contributing to shaping the future of advertising, emphasizing accuracy and efficiency. It's a revolutionary stride toward understanding and reaching the consumer in more meaningful and impactful ways, setting new benchmarks in the advertising world. In a rapidly evolving digital landscape, this collaboration stands as a beacon, guiding brands toward intelligent, informed, and innovative advertising solutions, redefining the possibilities in targeted advertising and audience solutions. Connect with us to learn more about how you can access Experian’s Consumer View data solutions in Magnite Access. To learn more about our partner Magnite, visit their website. Latest posts