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.
Contact us
Latest posts
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