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Not long ago, advertising platforms were built on opennessâa web of publishers, ad exchanges, and tools that gave brands flexibility, reach, and control. But that web is tightening. Today, the most valuable audiences are spending their time inside closed ecosystems, also known as walled gardens. These are platforms where everything from audience targeting to analytics is tightly controlled, often with little visibility for advertisers.
Itâs no coincidence that by 2027, industry giants like Google, Meta, and Amazon are projected to account for 83% of global digital ad revenue, which is a staggering shift in influence. And yet, for many businesses, this move toward walled gardens also promises sharper targeting, deeper engagement, and simplified execution.
So while the doors to these gardens may be closed, what lies inside has marketers leaning in.
Walled gardens are closed digital platforms that manage everything within their ecosystemâfrom content delivery to user data. These platforms donât just own the space; they control how marketers enter, how campaigns are delivered, and what insights are shared.
The most well-known walled gardens include:
Each of these players holds vast amounts of first-party data and proprietary technology stacks that marketers must utilize to engage their users.
Open marketplaces such as programmatic exchanges and independent publisher networks offer broader access to ad inventory. They allow for greater flexibility, enabling marketers to use third-party measurement tools, negotiate placements, and build audience profiles across multiple channels.
Walled gardens, on the other hand, simplify much of this process by offering integrated solutions. But that convenience comes at a cost. Businesses must operate within the platformâs rules, with limited control and minimal portability of data or campaign insights.
The rise of walled gardens hasnât been sudden. Itâs been a long, deliberate shift shaped by changes in how users consume content, how platforms handle data, and how marketers chase performance. What started as a way to simplify user experience has evolved into an ecosystem of closed control. And with every scroll, search, or swipe, these platforms grow more powerful in hierarchy.
Below are the key dynamics that have fueled their dominance in recent years:
User behavior has fundamentally changed, especially in how people engage with content online. Google now answers queries directly in search results, while social apps like Instagram offer endless native content loops. The more time users spend inside these environments, the more value they generate, not just in engagement, but in actionable data for advertisers.
The dominance of mobile devices has further tilted the scales. Around 90% of mobile internet usage today happens within apps, most of which are owned by big tech platforms. These logged-in environments provide consistent identity signals, allowing for sharper targeting and cross-device tracking. In a mobile-first world, the closed-loop experience of walled gardens is simply more efficient for marketers.
As platforms delivered stronger performance metrics, brands steadily shifted their budgets in that direction. In India, while users spend around 48% of their online time on walled garden platforms, those platforms receive more than 5.5 times the ad spend compared to the open internet. Globally, the gap continues to widen by 2027, and walled gardens are projected to account for 83% of total digital ad revenue. The combination of audience scale, performance predictability, and built-in tools makes these platforms difficult for marketers to ignore.
What makes walled gardens so enduring is their ability to continuously improve.Â
This cycle feeds itself.
Platforms keep improving their targeting, campaign formats, and self-serve tools, making it easier for marketers to get started. As reliance on third-party tech drops, businesses shift from simply advertising on these platforms to operating within them. Thatâs when convenience turns into dependency.
Ask any marketer where the bulk of their marketing spend goes, and it usually points to the same few platforms. Itâs not just the audience size; itâs how quickly these ecosystems turn ideas into outcomes. With built-in data, refined targeting, and end-to-end control, walled gardens have made marketing feel less like a maze and more like a fast lane.
So what keeps brands pouring in budget year after year? Below are some of the strongest pull factors that make walled gardens difficult to ignore:

What looks efficient on the surface can sometimes hide layers of complexity underneath. Walled gardens deliver performance, yes, but they also limit freedom, transparency, and long-term visibility. For businesses relying too heavily on them, these trade-offs can quietly add up.
Here is a table that showcases how those hidden costs show up in practice:
As privacy laws tighten and third-party cookies edge toward extinction, one thingâs become clear â data hasnât disappeared. Itâs just been locked inside a few powerful vaults.
Walled gardens like Google, Meta, and Amazon are built on first-party data. They donât need to chase users around the web â they already have the logged-in behavior, purchase intent, and cross-device visibility within their ecosystem. And now, with GDPR and CCPA redrawing the rules, these platforms wear the badge of privacy compliance, while quietly setting the rules for everyone else.
But that control cuts both ways. Brands get access to targeting, but not the raw insight. You can see the performance, but only through the platformâs lens. Want to bring that data out and connect it with your CRM or attribution stack? Thatâs where the wall holds firm.
To bridge the gap, clean rooms have entered the scene, allowing brands to match audience data without ever handling it directly. Itâs a useful workaround, but still platform-bound. Every clean room is built by the same ecosystem that controls the media spend, meaning collaboration happens on their terms, not yours.
So while the open web scrambles to rebuild around consent and anonymized IDs, the walled gardens are already operating in a world that rewards closed data and calls it privacy-first.
For D2C brands and marketers, walled gardens fundamentally restrict your access to customer data, limit long-term relationship-building, and make it harder to unify the customer journey. Instead of focusing only on outbound tactics, hereâs how D2C brands can crack these closed ecosystems and reclaim customer data:
Use Feedback Surveys Post-Purchase: Â Go beyond basic transaction data by reaching out with feedback surveys after the sale. These can help you capture valuable insightsâlike purchase motivations or product preferencesâthat major platforms donât share at checkout.
Leverage Warranty, Support, and Registration Touchpoints: Invite customers to register purchases, activate warranties, or engage with support via digital forms. This enables you to collect verified contact details (email, phone) for ongoing nurture and support, independent of the platform.
Bring Customers to Owned Channels via QR Codes and Coupons: Place QR codes or special offers in product packaging that incentivize buyers to visit your site. This helps migrate marketplace customers into your own data environment, giving you richer behavioral analytics and direct engagement opportunities.
Unify Order Data Using ERP Integrations: Sync transaction and support data from all sales channels through your ERP system. This creates a single view of each customer, allowing more personalized follow-up, loyalty programs, and lifecycle marketing beyond platform limitations.
Major tech companies are rapidly building "AI walled gardens", closed ecosystems where user data, product discovery, and customer interaction increasingly stay within proprietary platforms.Â
Both Perplexity and ChatGPT are at the forefront of this shift, each offering shopping agent features that enable users to ask for product recommendations, compare prices, view images and reviews, and receive direct purchasing linksâall within a conversational interface. These capabilities enable consumers to research and purchase products without leaving the AI-driven environment.
For marketers, this evolution presents both opportunities and challenges. While these platforms offer the chance for well-optimized brands to gain visibility at the point of decision, they also mean fewer clicks to owned websites and greater difficulty in collecting first-party customer data. However, LLM models source and reference information from retailer and brand websites, so marketers can still influence outcomes through robust GenAI optimization, ensuring content is clear, up-to-date, and accessible to these AI models. Without this proactive approach, brands risk being excluded from these next-generation discovery and shopping experiences.
The rise of walled gardens doesnât have to mean surrendering your control or visibility. ZEPIC empowers brands to connect data across closed ecosystems and the open internet, creating a unified view of your customer journey.
With ZEPIC, you can:
Walled gardens arenât taking over marketing by chance; theyâre doing it by design. As marketers adapt to a privacy-driven world, these platforms offer stability, reach, and results. But they donât offer everything. What you gain in ease and precision, you often lose in visibility and flexibility.
So the smart move isnât choosing one side, itâs learning how to work both. Use the open internet to build reach, context, and control. Use walled gardens for scale and targeting. Push for better integrations, clearer measurement, and flexible data strategies. The walls are high, but theyâre not the whole market. And brands that know how to work both sides will shape what comes next.
Ready to bridge the gap between closed ecosystems and your own data-driven marketing? Learn how ZEPIC empowers D2C brands to unify customer insights, orchestrate campaigns across channels, and reclaim control. Get a demo today.