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.
Latest posts

Data may not be the most glamorous aspect of marketing but it is at the heart creating meaningful consumer interactions in today’s data-driven world. In our award-winning, annual Digital Marketer Report we asked senior leaders about their top challenges and priorities. They said things like standing out against competitors, creating relevant interactions and customer acquisition. To my surprise, they didn’t say data. However, all the top challenges and priorities are predicated on having accurate, enriched data that is linked together in a central location for a complete customer view. The sobering fact is that most brands are not there yet. Most are not fully utilizing their data assets and maximizing their marketing intelligence. Take a look at these stats from the Digital Marketer Report to get an idea of where most brands are with data management practices. Overall, 45% of companies collect data via mobile – be it a mobile website, app or both TWEET THIS! 97% of companies suffer from common data errors. 61% of companies named human error as a top reason for data inaccuracies. TWEET THIS! On average globally, companies believe that 23% of their budget is wasted annually due to poor data quality. TWEET THIS! Today, only 35% of companies manage their data centrally through a single director. TWEET THIS! 99% of companies believe achieving a single customer view is important to their business. Only 24% of companies say they have a single customer view today. TWEET THIS! 29% of marketers who enrich their data with third-party data only add one type of data. TWEET THIS! One-quarter of marketers don’t enrich their data with any kind of third-party data. TWEET THIS! It’s important for marketing leaders to understand that they first need to focus on data and creating a customer-centric organization to support good data-management practices. Only then will they be able to reach their goals.

To say that Amazon Prime Day was a raging success is a considerable understatement Prime Day, the manufactured holiday by Amazon.com to mark the site’s 20th anniversary on July 15, 2015, was the biggest day of the past year for Amazon.com…by far. Experian Marketing Services’ Hitwise® online intelligence tool reports that Amazon.com garnered over 83.3 million visits from mobile and desktop browsers on Prime Day. By comparison, Prime Day topped Cyber Monday — the previous record holder — by a staggering 51.5 percent and Black Friday by 77.2 percent. It’s actually a bit ironic that Amazon promoted Prime Day as having more deals that Black Friday. That’s because visits to Amazon.com have actually been growing so steadily that last year’s Black Friday isn’t even among the site’s 10 biggest traffic days of the last 12 months. Nearly half of the days in July this year, in fact, have had visit counts that surpassed Black Friday. Compared to the previous Wednesday (July 8), the number of visits to Amazon.com on Prime Day rose 68 percent. But Amazon wasn’t the only retailer celebrating. Prime Day was definitely more of a “a rising tide lifts all boats” kind of event. For instance, 57 of the top 100 retail sites in the Hitwise 500 also saw increased visits on July 15 compared to the Wednesday prior. Walmart and Best Buy, which offered competing deals, had a an especially strong showing on Prime Day with visits to their sites up 97 percent and 44 percent, respectively, over the previous Wednesday. Search on Amazon Prime Day So what deals were consumers flocking to Amazon.com to take advantage of? To find out, I used Hitwise to compare the search terms leading to Amazon on Prime Day compared to the previous Wednesday. No surprise, many of the products that had the greatest increase in search click share week-over-week were Amazon’s own, including the “Amazon Fire Stick” (+417 percent) and “echo” (+357 percent). But also on the list were other products that were part of Amazon’s celebratory deals, such as “Nexus 6” (+352 percent), “Instant Pot” (+271 percent) and “PS4” (+250 percent). Overall, searches for Amazon Prime Day and variations thereof were common on July 15 and Amazon.com received 59.8 percent of search clicks from “Amazon Prime Day” searches, 61.2 percent of which were paid, meaning Amazon invested heavily in making sure that it successfully captured the traffic of interested consumers. But obviously not all Prime Day searches lead to the retail giant. Media sites Wired, CNNMoney.com and NBC News each captured at least three percent of traffic following a Prime Day search. In fact, seven of the top 10 winners of “Amazon Prime Day” searches were news and media outlets, which largely did not invest in paid search for that term. Walmart, which captured 1.5 percent of “Amazon Prime Day” searches, however, did pay. Among the “Amazon Prime Day” search clicks that lead to Walmart.com, 63.6 percent were paid. Of course two can play at that game. Amazon was also busy buying search terms of competitors on Prime Day. For instance, 23.9 percent of the clicks to Amazon from searches for “Target” were paid as were 15.9 percent of “Newegg” search clicks, eight percent of search clicks from “Best Buy” searches and 2.5 percent of search clicks for “Walmart.” Sources of traffic In terms of sources of traffic to Amazon.com, News and Media sites accounted for a 56 percent greater share of upstream traffic on Prime Day (6.7 percent) than the previous Wednesday (4.3 percent). But media weren’t the only ones talking about Prime Day, consumers, too, were taking to social media to chat up the event. And while not all online chatter was positive, Social Media sites delivered 15.2 percent of all referred traffic to Amazon.com on Prime Day, up from 11.3 percent of traffic the Wednesday prior, a relative increase of 35 percent. Despite the fact that Prime Day was meant to celebrate a milestone anniversary for Amazon, the overwhelming success for Amazon and other retailers will likely make it an annual event. If that is indeed the case, consumers will come to anticipate the day much like they do Black Friday. Marketers shouldn’t discount the potential for an annual Prime Day event to disrupt normal consumer spending patterns as well as drive even more dollars to be spent through online channels. For more information on how you can leverage Hitwise, the world’s largest sample of online consumer behavior, to improve the effectiveness of your search, display, affiliate, mobile, email and social media marketing campaigns, click here.

Pat Pellegrini is General Manager for Experian Marketing Services’ Consumer Insights group in North America. He also serves as Chief Research Officer and strongly supports the important role that high quality measurement science plays in driving deeper, more actionable consumer understanding. Every year, the American Association for Public Opinion Research (AAPOR) holds its annual conference where research professionals gather to discuss the latest trends, innovations and research. As a leading provider of consumer insights, Experian Marketing Services has an important role to play within AAPOR, the top professional organization of public opinion and survey research professionals. Since joining Experian as Chief Research Officer, and now as General Manager of Consumer Insights, I have driven our organization — already known for our trusted consumer insights — to move even more aggressively on innovations in measurement science, whether that is through self-reported consumer surveys like our Simmons National Consumer Study or passive data collection like our Hitwise online intelligence data. Consumers are being profoundly affected by rapid changes in technology and we are committed to being at the forefront in developing new research approaches to ensure that our data accurately and reliably reflects consumer decisions, behaviors, attitudes, lifestyles and media preferences. Experian Marketing Services was well represented at this year’s AAPOR conference both among attendees and presenters. In fact, six exciting topics from Experian were presented at the conference based on the work we do here every single day. Having this level of recognition from our research peers and the AAPOR organization is an outstanding accomplishment that speaks to our commitment toward research quality and innovation. It’s these types of insights that will help propel the industry forward. At the conference, I was delighted to present, along with my colleague Gerry Dirksz, findings from a successful initiative that Experian Marketing Services recently undertook to produce higher response rates to our Simmons National Consumer Study. Declining response rates are an obstacle facing nearly every player in our field and one that has real implications on data quality. Because certain key segments of the population (e.g., Millennials, Hispanics, etc.) are disproportionately less likely to respond to or participate in research studies, marketers and others who rely on such research may be handicapped by potential blind spots in the resulting data which prevent them from fully understanding important consumer audiences. To prevent such blind spots from occurring in our data, we tested a new two-phased dynamic incentive program that took into consideration an individual household or specific respondent’s propensity to fall into certain “hard-to-reach” segments. With this information in hand, we were able to offer different (often higher) incentives to “hard-to-reach” respondents from the start in order to improve response rates of those segments. Compared to control groups, response rates among those whose incentives were determined by the dynamic model were significantly higher. Having now rolled out this successful process for our entire sample frame, we have seen overall response rates improve markedly. While Experian is not alone in testing new initiatives like these, we are most definitely pioneers in the space and are setting an example for others to follow now that we have demonstrated results. In this regard, I look forward to blazing new trails based on well-thought hypotheses from our expert team. This will ensure that our data continues to be the gold-standard for helping our clients better understand consumers so that they can create more relevant and engaging interactions. Other topics presented by Experian at AAPOR include: The effects of total navigational burden, length of instrument and page complexity on item non-response This paper examined item non-response for long surveys which is a major topic of concern for survey researchers, particularly those looking to collect a large number of measurements from a single source. Specifically, binary (yes/no) questions were studied and potential factors that might contribute to item non-response were identified for further exploration. Patterns of response and non-response to sexual orientation measures In this presentation, relationships and patterns of item non-response among non-Hispanics to a measure of sexual orientation contained within the Simmons National Consumer Survey were explored. Since 2009, item non-response to the sexual orientation question has declined by a rate of 26 percent with a decline among 18-34 year-old respondents of 43 percent. U.S. Hispanic receptivity to self-reported measure of sexual orientation This paper examined the effects of adding a question on sexual orientation with respect to mail survey instrument return rates and item non-response rates among the U.S. Hispanic population. A key finding from this research was the pronounced, significant difference in item non-response rates which were disproportionately higher for Hispanics compared to non-Hispanics and significantly higher for Spanish-language Hispanics versus English-language Hispanics. Does providing an email address in an initial contact study indicate respondents will be cooperators in a subsequent online panel study? This study examines how the cooperation rate for a future study differs between individuals who are willing to provide an email address in the initial phase and those who are not. Results indicate that respondents who provide an email address in the initial contact study are more cooperative in joining a subsequent online panel than those who do not provide an email address. Patterns of non-response to health, diet, nutrition and apparel measures conditioned on body mass index This study examines the relative response of overweight or obese individuals to questions concerning diet, nutrition, health and even apparel in comparison to those individuals classified in the normal range for BMI. Based on our findings, a BMI measurement, outside of the normal range, would not negatively impact a study’s non-response rate to other survey questions related to one’s self-image. For more information about these presentations, please contact us at consumerinsight@experian.com.