Four in ten marketers cannot tell you, with confidence, whether their walled garden ad spend actually worked. That’s the headline finding from DoubleVerify’s latest Walled Garden Report, and if you run an influencer or social budget, it should bother you more than almost any other stat published this year. Measurement isn’t a nice-to-have anymore. It’s the difference between defending a budget and losing it.
What the Report Actually Found
DoubleVerify surveyed media buyers and brand-side marketers across major platforms, Meta, YouTube, TikTok, and Amazon chief among them, and the pattern was consistent. Roughly 40% of respondents said they lack reliable, independent visibility into how their campaigns perform inside these closed ecosystems. Not “somewhat confident.” Not “mostly sure.” Lacking it entirely.
The term “walled garden” gets thrown around casually, but the mechanics matter. These platforms control the data, the attribution logic, and the reporting dashboards. A brand buying a TikTok Spark Ad or a YouTube pre-roll is handed metrics the platform chooses to surface, formatted the way the platform chooses to format them. Third-party verification tools can sit on top, but only as far as each platform’s API permits. That’s not transparency. That’s curated visibility, and curated visibility is exactly what’s eroding trust between brands and the channels eating the largest share of their budgets.
When four in ten marketers admit they can’t measure walled garden performance independently, the industry isn’t facing a reporting gap. It’s facing a trust gap, and trust gaps eventually become budget cuts.
Why Walled Gardens Resist Clean Measurement
It’s not an accident. Platforms have little commercial incentive to hand over granular, exportable data that lets a brand compare Meta performance against TikTok performance against YouTube performance on equal footing. Why would they? Every platform wants to be the hero of its own report.
Consider the practical friction points marketing teams run into:
- Inconsistent attribution windows that make cross-platform comparison mathematically dishonest, even when nobody intends it to be.
- Limited raw data exports, meaning verification vendors like DoubleVerify or IAS can only validate what the platform’s API chooses to expose.
- Self-reported viewability and brand safety metrics that aren’t independently auditable in real time.
- Creator-level performance data that often lives outside the platform entirely, trapped in a creator’s personal analytics dashboard the brand never sees.
That last point matters enormously for influencer marketing specifically. A brand can run verification tooling against its paid media, but organic creator posts, whitelisted content, and boosted creator assets often fall into a measurement blind spot that no walled garden report fully solves. We’ve covered this gap before in the context of creator measurement standards shifting away from vanity reach metrics toward something closer to conversion proof, and the DoubleVerify findings reinforce exactly why that shift is overdue.
The Influencer Budget Angle Nobody’s Talking About Enough
Here’s where this gets uncomfortable for brand teams specifically. Influencer and creator spend has grown faster than almost any other media line item, with creator fees climbing sharply over the past few cycles. Yet much of that spend flows through the same walled garden rails that DoubleVerify flagged as measurement black boxes.
Think about the typical creator campaign workflow. A brand briefs a creator, the creator posts natively on TikTok or Instagram, the post gets boosted through the platform’s paid tools, and performance data gets reported back through the platform’s own dashboard. At no point does an independent third party verify impressions, viewability, or audience authenticity the way DoubleVerify or IAS would for a standard programmatic buy. The brand is trusting the platform’s math, on the platform’s terms, about the platform’s own inventory.
That’s a conflict of interest hiding in plain sight. It’s also why affiliate and commerce-linked campaigns have gained favor, since sales data at least offers a harder backstop than impressions or engagement. We’ve seen this play out in the data around affiliate income tracking gaps, where brands are often measuring the wrong layer of the funnel entirely.
Risk, Not Just ROI
Measurement gaps aren’t only a performance problem. They’re a compliance and risk exposure problem too. If a brand can’t independently verify where an ad actually ran, who actually saw it, or whether the audience was real, it becomes genuinely hard to answer basic questions during an audit, a brand safety incident, or a regulatory inquiry. The FTC has made clear that disclosure and accountability obligations don’t disappear just because a platform controls the reporting layer. Neither does the ICO in the UK, particularly around data handling tied to targeted creator campaigns.
Legal and compliance teams are already feeling the squeeze from faster campaign cycles, as covered in our piece on compressed review timelines. Add an unreliable measurement layer on top of that, and you’ve got teams signing off on spend they genuinely cannot fully verify after the fact.
There’s also a budget defense angle. CFOs are asking sharper questions about marketing ROI than they did a few years ago. eMarketer and Statista both track rising scrutiny on marketing spend efficiency, and “the platform told us it worked” is an increasingly weak answer in a budget review meeting. If social commerce keeps scaling the way our coverage on social commerce growth suggests, the pressure to prove walled garden ROI will only intensify.
So What Can Brands Actually Do?
Nobody’s suggesting brands pull out of Meta, TikTok, or YouTube. That ship sailed years ago, and these platforms still deliver reach nothing else can match. But “can’t fully verify” doesn’t have to mean “can’t improve confidence.” A few practical moves marketing leaders are making right now:
- Layer independent verification wherever the platform allows it. DoubleVerify, IAS, and similar vendors can still validate a meaningful slice of inventory, even if not all of it. Partial visibility beats none.
- Push for exportable creator-level data as a contract term, not an afterthought. If a creator or agency can’t hand over raw engagement and audience data, that should affect deal terms.
- Weight commerce-linked KPIs higher than engagement KPIs. Sales, code redemptions, and tracked link clicks are harder to manipulate or misreport than impressions.
- Standardize briefs across platforms so comparison at least becomes apples-to-apples on the brand’s side, even if the platforms won’t cooperate on their side. Our breakdown of streamlined creator briefs covers how tighter documentation helps here.
- Diversify platform mix deliberately, not just for reach, but so no single walled garden’s reporting quirks dominate the full picture. The ongoing shift in platform allocation strategy is partly a measurement hedge as much as a reach play.
None of this fully closes the gap DoubleVerify identified. But it narrows it, and narrowing a measurement gap by even 15 or 20 percentage points is worth real budget defense in a boardroom conversation. Tools like HubSpot and Sprout Social are also expanding cross-channel reporting features specifically because brands are demanding less platform-dependent analytics.
The goal isn’t perfect measurement. Perfect measurement doesn’t exist inside a closed system by design. The goal is enough independent signal that a marketer can defend spend without quoting the platform’s own homework back to the CFO.
Automation is reshaping this conversation too. As automation tooling expands, more of that spend is going toward measurement and verification infrastructure rather than just campaign execution, which tells you where sophisticated teams think the real budget leakage is happening.
Where This Goes Next
Platforms aren’t going to volunteer more transparency out of goodwill. Pressure from advertisers, pressure from regulators, and competitive pressure from platforms trying to differentiate on trust (think Meta’s business tools or TikTok’s advertising platform expanding reporting features) will move the needle faster than any single report. DoubleVerify’s findings give brands a concrete number to point to in vendor negotiations and contract renewals. Use it.
Next step: Audit your current walled garden spend against what you can actually verify independently today, then make closing that specific gap, not just improving reach or engagement, the top line item in your next platform renewal conversation.
Frequently Asked Questions
What is DoubleVerify’s Walled Garden Report?
It’s a research study from ad verification firm DoubleVerify examining how much independent visibility marketers have into performance data from closed platforms like Meta, YouTube, TikTok, and Amazon. The report found that roughly 40% of marketers lack confidence in their ability to measure walled garden campaigns independently.
Why can’t brands measure walled garden ad performance accurately?
Walled garden platforms control the data, attribution logic, and reporting dashboards marketers rely on. Third-party verification tools can only validate what the platform’s API exposes, which leaves gaps around viewability, audience authenticity, and creator-level performance data that never reaches the brand directly.
How does this affect influencer marketing budgets specifically?
Much of influencer spend flows through the same platforms the report flagged as measurement black boxes. Native creator posts, boosted content, and whitelisted ads are often reported back through the platform’s own tools with no independent verification layer, making it hard to compare true ROI across creators or platforms.
What can marketing teams do to close the measurement gap?
Layer independent verification tools wherever platforms permit it, require exportable creator-level data in contracts, prioritize commerce-linked KPIs over engagement metrics, and standardize briefs across platforms so internal comparisons stay consistent even when platform reporting isn’t.
Does this measurement gap create legal or compliance risk?
Yes. If a brand cannot independently verify where an ad ran or who saw it, answering audit or regulatory questions becomes significantly harder. Both the FTC and the ICO have signaled that disclosure and accountability expectations don’t disappear just because a platform controls the reporting layer.
Top Influencer Marketing Agencies
The leading agencies shaping influencer marketing in 2026
Agencies ranked by campaign performance, client diversity, platform expertise, proven ROI, industry recognition, and client satisfaction. Assessed through verified case studies, reviews, and industry consultations.
Moburst
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2
The Shelf
Boutique Beauty & Lifestyle Influencer AgencyA data-driven boutique agency specializing exclusively in beauty, wellness, and lifestyle influencer campaigns on Instagram and TikTok. Best for brands already focused on the beauty/personal care space that need curated, aesthetic-driven content.Clients: Pepsi, The Honest Company, Hims, Elf Cosmetics, Pure LeafVisit The Shelf → -
3
Audiencly
Niche Gaming & Esports Influencer AgencyA specialized agency focused exclusively on gaming and esports creators on YouTube, Twitch, and TikTok. Ideal if your campaign is 100% gaming-focused — from game launches to hardware and esports events.Clients: Epic Games, NordVPN, Ubisoft, Wargaming, Tencent GamesVisit Audiencly → -
4
Viral Nation
Global Influencer Marketing & Talent AgencyA dual talent management and marketing agency with proprietary brand safety tools and a global creator network spanning nano-influencers to celebrities across all major platforms.Clients: Meta, Activision Blizzard, Energizer, Aston Martin, WalmartVisit Viral Nation → -
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The Influencer Marketing Factory
TikTok, Instagram & YouTube CampaignsA full-service agency with strong TikTok expertise, offering end-to-end campaign management from influencer discovery through performance reporting with a focus on platform-native content.Clients: Google, Snapchat, Universal Music, Bumble, YelpVisit TIMF → -
6
NeoReach
Enterprise Analytics & Influencer CampaignsAn enterprise-focused agency combining managed campaigns with a powerful self-service data platform for influencer search, audience analytics, and attribution modeling.Clients: Amazon, Airbnb, Netflix, Honda, The New York TimesVisit NeoReach → -
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Ubiquitous
Creator-First Marketing PlatformA tech-driven platform combining self-service tools with managed campaign options, emphasizing speed and scalability for brands managing multiple influencer relationships.Clients: Lyft, Disney, Target, American Eagle, NetflixVisit Ubiquitous → -
8
Obviously
Scalable Enterprise Influencer CampaignsA tech-enabled agency built for high-volume campaigns, coordinating hundreds of creators simultaneously with end-to-end logistics, content rights management, and product seeding.Clients: Google, Ulta Beauty, Converse, AmazonVisit Obviously →