In the rapidly evolving world of digital advertising, Connected TV (CTV) has emerged as one of the most powerful channels for reaching engaged audiences. As media buyers and advertisers pour more budget into CTV campaigns, the need for reliable measurement tools has never been greater. That’s where MOAT comes in. MOAT, now part of Oracle Data Cloud, is an industry-leading analytics and measurement platform that helps advertisers verify whether their ads are actually being seen by real people. Understanding how MOAT measures viewability in the Connected TV ecosystem is essential for any media buyer looking to maximize return on ad spend (ROAS) and ensure brand safety in an increasingly fragmented media landscape.
What Is MOAT and Why Does It Matter in CTV?
MOAT is an advanced ad measurement and analytics platform originally founded in 2010 and later acquired by Oracle. It was designed to go beyond simple click-through rates and impressions, offering deep insights into how consumers actually interact with digital ads. In the context of Connected TV advertising, MOAT provides a robust suite of metrics that help advertisers understand the true quality and impact of their campaigns.
Connected TV refers to any television set that connects to the internet, whether through a smart TV, a streaming device like Roku or Amazon Fire TV, or a gaming console. As cord-cutting continues to accelerate, CTV has become a dominant platform for streaming services like Netflix, Hulu, Peacock, and Disney+. Advertisers are following audiences to these platforms, but the measurement landscape is still maturing.
Unlike traditional digital display advertising, CTV operates in a more controlled, lean-back viewing environment. This means the standard viewability metrics used in desktop or mobile advertising don’t always translate directly. MOAT helps bridge this gap by offering CTV-specific measurement solutions that account for the unique nature of television viewing.
For media buyers, understanding MOAT’s role in CTV measurement means having greater confidence in campaign data, better optimization opportunities, and stronger accountability from publishers and platforms. Let’s dive deeper into the five essential viewability metrics that MOAT tracks in the Connected TV environment.
The Unique Viewability Challenges in Connected TV
Before exploring the specific metrics, it’s important to understand why measuring viewability in CTV is uniquely challenging. The traditional IAB (Interactive Advertising Bureau) viewability standards were built around desktop web advertising, where a pixel-based measurement could determine if an ad was on screen. CTV changes everything.
Here are some of the core challenges that make CTV viewability measurement different from other digital channels:
- No browser-based tracking: CTV apps run natively on devices, making traditional JavaScript-based measurement tags difficult or impossible to deploy.
- Fragmented ecosystem: There are dozens of CTV platforms, each with its own ad tech stack, making standardized measurement complex.
- Sophisticated ad fraud: CTV has seen a significant rise in invalid traffic (IVT), including spoofed devices and domain fraud.
- Lean-back viewing environment: Audiences watch CTV on large screens in their living rooms, often without interacting with content in a measurable way.
- Limited third-party cookie support: Identity resolution and audience tracking are more complicated in the CTV space.
These challenges make it critical for advertisers to rely on sophisticated tools like MOAT to gain accurate and actionable insights about their CTV ad performance. Now, let’s look at the five essential metrics that MOAT tracks.
Metric #1: Video Completion Rate (VCR)
Video Completion Rate (VCR) is arguably the most important metric in CTV advertising, and MOAT excels at tracking it with precision. VCR measures the percentage of video ads that are watched to completion — from the first frame to the last. In a lean-back CTV environment, where ads are often non-skippable, VCR tends to be significantly higher than on mobile or desktop platforms.
MOAT breaks down completion rate into multiple quartile measurements:
- First Quartile (Q1): The percentage of viewers who watched at least 25% of the ad.
- Midpoint (Q2): Viewers who reached the 50% mark of the video.
- Third Quartile (Q3): Viewers who watched 75% of the ad.
- Completion (Q4): Viewers who watched the entire ad from start to finish.
Why does this matter for media buyers? Because a high VCR in CTV doesn’t always mean a high-quality view. MOAT goes beyond simple completion tracking to verify that:
- The ad was played on an actual device, not a bot-generated impression.
- The video was rendered at full-screen resolution on a real television display.
- The completion was not artificially inflated by fraudulent traffic sources.
Benchmarking your VCR against MOAT’s industry standards allows you to quickly identify underperforming placements and reallocate budget to higher-quality inventory. A strong VCR in CTV typically ranges between 85% and 97%, depending on the platform and content type.
Metric #2: Invalid Traffic (IVT) Detection
Invalid Traffic (IVT) is one of the most pressing concerns in CTV advertising today. According to industry reports, CTV ad fraud has grown exponentially, with fraudsters using sophisticated techniques to generate fake impressions and siphon ad budgets. MOAT’s IVT detection is a critical line of defense for media buyers. – Device Graph Refresh: Why 3 Monthly Updates Fail CTV
MOAT measures two types of invalid traffic in CTV environments:
- General Invalid Traffic (GIVT): This includes known bots, data center traffic, and other non-human sources that are relatively easy to identify and filter out.
- Sophisticated Invalid Traffic (SIVT): This is far more dangerous and harder to detect. It includes techniques like device spoofing, app spoofing, and server-side ad insertion (SSAI) manipulation.
One of the most prevalent forms of CTV fraud is device spoofing, where fraudsters make a desktop computer or mobile device appear to be a connected television, thereby fraudulently claiming the premium CPMs that CTV inventory commands. MOAT’s sophisticated detection algorithms can identify these anomalies and flag suspicious traffic patterns.
Another major fraud vector in CTV is SSAI manipulation. Server-side ad insertion is a legitimate technology used to stitch ads into video streams server-side, reducing ad blocking and improving viewer experience. However, fraudsters have exploited this technology to inflate impression counts without actual human viewers ever seeing the ads.
By integrating MOAT’s IVT detection into your CTV campaigns, you can:
- Identify publishers with abnormally high fraud rates and remove them from your buy.
- Negotiate make-goods with partners based on verified invalid traffic data.
- Protect your brand’s ad spend from being wasted on non-human traffic.
- Build a cleaner, more accountable CTV supply chain.
Metric #3: Audibility and Active Attention
In CTV advertising, sound is everything. Unlike desktop or mobile environments where ads are often muted by default, CTV ads are typically served with full audio in a living room setting. This makes audibility measurement a critical component of MOAT’s viewability suite for connected television. (Learn more about moat)
MOAT’s audibility metrics track whether an ad’s audio was actually playing at a reasonable volume level during the impression. This is particularly important in CTV because:
- An ad that runs silently — due to a technical error or muted device state — may still register as a completed view without delivering its intended message.
- Audio is the primary driver of brand message recall in a television environment.
- Advertisers paying premium CPMs for CTV inventory deserve to know their audio was delivered correctly.
Beyond simple audibility, MOAT also works toward measuring active attention — the degree to which a viewer is genuinely engaged with an ad. In a lean-back CTV environment, measuring attention is challenging because viewers don’t click or interact with ads the way they might on a mobile device. However, MOAT uses proxy signals and integrations with attention measurement partners to provide estimates of genuine viewer engagement.
For media buyers, audibility data can be used to:
- Identify placements where audio errors are frequent and deprioritize those inventory sources.
- Correlate high audibility rates with stronger brand recall and purchase intent lift.
- Create a quality score for CTV inventory that incorporates both visual and audio delivery.
Metric #4: In-View Rate and Screen Real Estate
While traditional display advertising measures viewability by calculating what percentage of an ad’s pixels are visible on screen, CTV presents a different paradigm. In the CTV environment, ads are almost always full-screen by design, meaning pixel-based in-view measurement is less nuanced. However, MOAT still provides critical in-view metrics tailored specifically to connected television.
MOAT’s In-View Rate for CTV measures the percentage of ad impressions that were served on an actual active display — a television screen that was turned on and rendering the ad correctly. This may sound obvious, but in the world of programmatic CTV, there are real scenarios where ads are served to devices that are technically connected but not actively displaying content on a screen.
Key factors that MOAT’s in-view measurement accounts for in CTV include:
- Screen-on detection: Verifying that the television screen was actively displaying content during the ad impression.
- Full-screen rendering: Confirming that the ad was rendered at the correct dimensions and not truncated or obscured.
- App-level verification: Ensuring the ad appeared within a legitimate streaming application and not in a background process.
- Resolution quality: Tracking whether the ad was rendered in a quality consistent with the premium CTV environment.
Understanding in-view rate in CTV helps media buyers make more informed decisions about inventory quality. A publisher reporting 98% fill rates with suspiciously low in-view rates measured by MOAT is a significant red flag that warrants investigation.
Metric #5: Brand Safety and Contextual Verification
Brand safety is a top priority for advertisers across all digital channels, but it takes on special significance in the CTV environment. MOAT provides brand safety and contextual verification tools that help ensure your ads appear alongside appropriate, brand-safe content — and not next to programming that could damage your brand’s reputation. – CTV App Choice Sets: 5 Proven Ways Aggregators Impact CPM
In CTV, brand safety verification from MOAT typically covers:
- App-level verification: Confirming that ads are running within legitimate, brand-approved streaming applications.
- Content category classification: Identifying the genre and content type of the programming surrounding your ad.
- Publisher whitelists and blacklists: Enabling advertisers to approve or exclude specific apps and channels from their CTV buys.
- SSAI transparency: Providing visibility into server-side ad insertion environments to ensure proper ad placement within video streams.
One of the most significant brand safety risks in CTV is app spoofing, where a fraudulent or low-quality inventory source misrepresents itself as a premium streaming application. An advertiser might believe their ad is running on a top-tier streaming service, only to discover (via MOAT verification) that the impression was actually served through an unverified third-party app.
MOAT’s brand safety tools integrate with the broader Oracle advertising ecosystem, giving media buyers access to extensive contextual data and verification capabilities. This allows advertisers to build CTV media plans with confidence, knowing their brand will only appear in environments that meet their standards.
How to Use MOAT Metrics to Optimize CTV Campaigns
Now that we’ve covered the five essential MOAT viewability metrics for Connected TV, let’s talk about how to actually apply this data to improve campaign performance. Data is only as valuable as the decisions it informs.
Build a CTV Quality Scorecard
Use MOAT data to create a comprehensive quality scorecard for each publisher or inventory source in your CTV buy. Score each partner across all five metrics — VCR, IVT rate, audibility, in-view rate, and brand safety — and weight them according to your campaign priorities. (Learn more about moat)
- Partners with low IVT rates and high VCR deserve more budget allocation.
- Partners with brand safety violations should be immediately removed from the plan.
- Partners with high completion rates but low audibility scores may have technical delivery issues worth investigating.
Set Minimum Quality Thresholds
Work with your DSP (Demand-Side Platform) and inventory partners to establish minimum quality thresholds based on MOAT benchmarks. For example:
- Require a minimum VCR of 85% before paying full CPM rates.
- Flag any publisher with an IVT rate above 5% for review.
- Demand 100% brand safety compliance as a non-negotiable standard.
Use MOAT Data for Publisher Negotiations
MOAT measurement data gives you leverage in publisher negotiations. When a publisher’s measured performance falls short of their guaranteed benchmarks, use MOAT reports to negotiate make-goods, rate adjustments, or additional inventory. This data-driven approach to accountability can significantly improve the overall economics of your CTV buys.
Integrate MOAT with Your Analytics Stack
MOAT data is most powerful when it’s integrated with your broader marketing analytics stack. Connect MOAT reporting to your attribution platform, your CRM data, and your media planning tools to build a holistic view of CTV campaign performance. This enables you to draw connections between high-quality MOAT metrics and downstream business outcomes like site visits, sales lift, and brand awareness.
The Future of MOAT Measurement in Connected TV
The CTV measurement landscape is evolving rapidly, and MOAT’s role in shaping industry standards is likely to grow. Several trends are driving the next generation of CTV measurement capabilities:
ACR Data Integration
Automatic Content Recognition (ACR) technology is embedded in millions of smart TVs, allowing them to identify exactly what content is being displayed on screen at any given moment. As ACR data becomes more widely available for advertising measurement purposes, MOAT and similar platforms can leverage this data to provide even more granular viewability insights for CTV campaigns.
Cross-Screen Measurement
One of the biggest gaps in current CTV measurement is the ability to track a consumer’s journey across multiple screens — from CTV to mobile to desktop. MOAT is working toward more sophisticated cross-screen measurement capabilities that allow advertisers to understand how CTV exposure influences behavior on other devices and channels.
Attention Metrics Evolution
As the industry moves beyond simple viewability toward more nuanced attention measurement, MOAT is positioned to play a central role. Attention metrics go beyond just verifying that an ad was on screen — they attempt to measure whether a viewer was actually paying attention. In a CTV environment, this might involve integrating eye-tracking data from smart TV cameras, second-screen engagement signals, or advanced machine learning models.
IAB Standards Development
The IAB Tech Lab has been working on developing more standardized CTV measurement guidelines, and MOAT participates in these industry efforts. As new standards emerge, MOAT’s metrics will continue to evolve to reflect best practices, giving media buyers greater confidence in the comparability and reliability of their measurement data across platforms.
Conclusion
Connected TV represents one of the most exciting and fastest-growing opportunities in digital advertising today. But with great opportunity comes the need for great accountability. MOAT’s five essential viewability metrics — Video Completion Rate, Invalid Traffic Detection, Audibility and Active Attention, In-View Rate, and Brand Safety Verification — provide media buyers with a comprehensive framework for evaluating and improving CTV campaign quality.
By integrating MOAT measurement into your CTV media buying strategy, you can:
- Protect your ad spend from fraud and invalid traffic.
- Ensure your ads are being seen and heard by real human audiences.
- Negotiate more confidently with publishers and inventory partners.
- Build a data-driven foundation for continuous campaign optimization.
- Future-proof your CTV measurement approach as the landscape continues to evolve.
The media buying landscape is becoming increasingly sophisticated, and staying ahead means embracing the tools and metrics that provide genuine transparency and accountability. MOAT is not just a measurement platform — it’s a strategic asset that empowers advertisers to make smarter, more informed decisions in the Connected TV space. As CTV budgets continue to grow and the ecosystem matures, mastering MOAT’s viewability metrics will be a defining competency for the next generation of media buyers.
Whether you’re a seasoned programmatic professional or just beginning to explore CTV advertising, incorporating MOAT measurement into your workflow is one of the most impactful steps you can take to ensure that every dollar of your CTV investment is working as hard as possible. Start by establishing your baseline metrics, setting quality thresholds, and using MOAT data to drive accountability at every level of your media supply chain.
