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Introduction
In the rapidly evolving digital advertising landscape of 2026, where video content dominates user engagement, ensuring your video ads are actually seen by real people is paramount. Advertisers are pouring significant budgets into video campaigns across platforms like CTV, social media, and programmatic exchanges. However, the rise of sophisticated ad fraud, brand safety risks, and low-quality inventory means that merely serving an ad doesn’t guarantee its effectiveness. This is where video viewability analytics platforms become indispensable.
Viewability, defined by the Media Rating Council (MRC) as at least 50% of an ad’s pixels in view for at least two consecutive seconds for video (or one second for display), is the fundamental metric for ad effectiveness. But beyond basic viewability, marketers in 2026 demand deeper insights into ad quality, audience attention, and protection against invalid traffic (IVT) and unsuitable content. Choosing the right partner to measure and optimize these crucial aspects can significantly impact your ROI.
Today, we’re diving deep into the titans of the ad verification industry: Integral Ad Science (IAS), DoubleVerify (DV), and Oracle Moat. These three platforms represent the cutting edge of video viewability and ad quality measurement in 2026. We’ll compare their current offerings, advanced features, pricing models, and help you determine which solution best aligns with your advertising goals.
Quick Comparison Table
| Feature/Platform | Integral Ad Science (IAS) | DoubleVerify (DV) | Oracle Moat |
|---|---|---|---|
| Primary Focus (2026) | Comprehensive ad quality, attention, brand safety, CTV/streaming. | Performance, outcome optimization, fraud prevention, CTV/OTT. | Deep analytics, attention metrics, granular reporting, Oracle ecosystem. |
| MRC Accreditation | Viewability, IVT (SIVT/GIVT), Brand Safety. | Viewability, IVT (SIVT/GIVT), Brand Safety. | Viewability, IVT. |
| Video Viewability Features | Total Viewability for all video formats (in-stream, out-stream, CTV), sophisticated AI-driven analysis. | DV Authentic Ad for video, advanced CTV/OTT measurement, pre-bid and post-bid. | Granular video viewability and attention metrics, impression-level data. |
| Ad Fraud (IVT) Protection | Robust SIVT & GIVT detection, real-time blocking, CTV fraud. | Industry-leading SIVT & GIVT detection, specialized CTV fraud, botnet protection. | Strong GIVT & SIVT detection, comprehensive invalid traffic filtering. |
| Brand Safety/Suitability | Contextual semantic analysis, custom brand suitability tiers, sentiment analysis. | DV Authentic Brand Suitability, custom profiles, dynamic contextual classification. | Moat Brand Safety, content categorization, limited customizability compared to others. |
| Attention Metrics | Total Media Quality (TMQ), Attention Score. | DV Performance suite, exposure time, engagement signals. | Moat Analytics, human attention signals, viewable time. |
| Pricing Model (Avg. 2026) | CPM-based (starts ~$0.05-0.08 CPM), enterprise tiers. | CPM-based (starts ~$0.06-0.10 CPM), tiered pricing. | Primarily enterprise-focused, custom quotes, often bundled with Oracle Ad Tech ($3k-$15k+ /month). |
| Integrations | Widespread DSP/SSP/Ad Server integrations, social platforms. | Extensive DSP/SSP/Ad Server, social, programmatic integrations. | Strong integration within Oracle ecosystem, API access for third parties. |
| Pros | Excellent global coverage, robust AI, strong for brand-conscious advertisers, focus on attention. | Market leader in fraud detection, strong performance focus, user-friendly UI, good for outcome-driven campaigns. | Unmatched granular data & reporting, strong attention analytics, powerful for large enterprises with complex needs. |
| Cons | Can be complex for new users, potentially higher cost for full suite. | Might be slightly pricier for basic viewability, some advanced features are add-ons. | Less flexible for SMBs, steeper learning curve, less emphasis on real-time blocking outside Oracle ecosystem. |
Detailed Breakdown
Integral Ad Science (IAS)
Integral Ad Science (IAS) has cemented its position as a dominant force in ad verification, constantly innovating to meet the demands of the 2026 market. Their core offering revolves around a comprehensive suite of tools designed to ensure ad quality across all digital channels, with a significant emphasis on video viewability and emerging formats like CTV and streaming.
As of October 2026, IAS’s platform leverages advanced machine learning and AI to provide granular insights into video campaigns. Their ‘Total Viewability’ metric extends beyond basic MRC standards, offering a deeper understanding of how and where video ads are being consumed. They provide real-time pre-bid and post-bid solutions for video, allowing advertisers to optimize campaigns on the fly and minimize wasted spend. For CTV, IAS offers sophisticated fraud detection specific to connected TV environments, identifying spoofed inventory and non-human traffic unique to streaming platforms.
IAS also excels in brand safety and suitability, employing sophisticated contextual semantics to analyze content at a granular level. Advertisers can customize their brand suitability settings with extreme precision, ensuring video ads appear only alongside appropriate content, even within dynamic news feeds or user-generated content. Their ‘Attention Score’ provides an aggregated metric incorporating viewability, audibility, and user interaction, giving advertisers a holistic view of video ad engagement.
Pricing for IAS in 2026 typically operates on a CPM (Cost Per Mille) basis for verification services, with rates generally starting from $0.05 to $0.08 per thousand verifiable impressions for core viewability and IVT detection. More comprehensive enterprise packages, which include advanced brand suitability, attention metrics, and enhanced CTV fraud prevention, can range significantly higher, often requiring custom quotes. IAS boasts extensive integrations with major DSPs, SSPs, and ad servers globally, making it a plug-and-play solution for most advertisers.
DoubleVerify (DV)
DoubleVerify (DV) remains another market leader in 2026, renowned for its relentless focus on preventing ad fraud and driving campaign performance. DV’s ‘Authentic Ad’ philosophy extends seamlessly to video, ensuring every video impression meets their stringent quality standards across viewability, brand safety, and fraud prevention.
In 2026, DV’s video viewability features are particularly strong for CTV and OTT environments. They offer advanced pre-bid blocking capabilities for video, allowing advertisers to filter out non-viewable or fraudulent impressions before they’re even purchased. Their post-bid verification provides detailed reporting on video completion rates, audibility, and overall viewable duration, giving advertisers a clear picture of video ad performance. DV’s proprietary fraud detection, including sophisticated SIVT (Sophisticated Invalid Traffic) and GIVT (General Invalid Traffic) identification, is widely considered industry-leading, protecting video budgets from bots and malicious actors.
DV also provides robust brand safety and suitability tools, with ‘Authentic Brand Suitability’ offering dynamic content classification and custom profiles to ensure video ads appear in suitable environments. Their recent enhancements in attention metrics, part of the ‘DV Performance’ suite, allow advertisers to measure meaningful exposure time and user engagement signals for video, moving beyond simple viewability to evaluate ad impact. This is particularly crucial for native and in-feed video formats where user attention is fleeting.
DoubleVerify’s pricing structure in 2026 is also largely CPM-based, with entry-level verification services typically ranging from $0.06 to $0.10 per thousand verifiable impressions. For premium services, including comprehensive fraud prevention across CTV, advanced brand suitability, and the full DV Performance suite, pricing can scale significantly. DV is well-integrated across the digital advertising ecosystem, offering seamless solutions for programmatic video, social video, and direct campaigns.
Oracle Moat (now Moat by Oracle Advertising)
Oracle Moat, now a core component of Oracle Advertising, continues to be a formidable player in the video viewability and attention analytics space in 2026. While IAS and DV offer comprehensive suites, Moat has historically distinguished itself through its deep, granular data and powerful attention metrics, making it particularly valuable for large enterprises focused on in-depth analysis and optimization.
For video viewability in 2026, Oracle Moat provides exceptionally detailed reporting, often down to the impression level. This allows advertisers to understand precisely how and when their video ads were viewed, including metrics like viewable time, audibility, and player size. While IAS and DV have strong pre-bid offerings, Moat often shines in post-bid analysis, giving advertisers the diagnostic tools needed to dissect campaign performance and optimize future strategies. Their attention metrics, known as Moat Analytics, are highly regarded, providing insights into human attention signals beyond mere viewability, which is critical for video ads that aim for engagement.
Moat’s ad fraud detection, while robust and MRC-accredited, focuses heavily on accurate measurement and filtering of invalid traffic. Their brand safety features provide reliable content categorization, helping advertisers avoid unsuitable environments for their video campaigns. A key advantage for Moat is its deep integration within the broader Oracle Advertising ecosystem. For companies already leveraging Oracle’s cloud infrastructure, marketing automation, or data management platforms, Moat offers a cohesive and powerful analytics solution.
Pricing for Oracle Moat in 2026 is generally tailored for enterprise-level clients and is often provided via custom quotes. While they may have entry-level packages starting around $3,000-$5,000 per month for basic viewability and analytics, comprehensive enterprise solutions with extensive reporting, APIs, and integrated Oracle services can easily range from $10,000 to $15,000+ per month. Moat’s strength lies in its ability to provide unparalleled data depth for those who can leverage it effectively, particularly for long-term strategic insights rather than real-time bidding adjustments.
How to Choose
Selecting the best video viewability analytics platform in 2026 depends heavily on your specific needs, budget, and strategic priorities. Each of these three industry leaders offers distinct advantages.
First, consider your budget and organizational size. For small to medium-sized businesses (SMBs) or those with tighter budgets focused primarily on basic viewability and fraud, IAS or DoubleVerify’s CPM-based models offer more accessible entry points. Enterprise clients with significant ad spend and a need for deep, custom analytics might find Oracle Moat’s comprehensive reporting and integration with the Oracle ecosystem more appealing, despite its higher baseline cost.
Next, evaluate your primary feature requirements. If cutting-edge fraud prevention, especially for CTV and new video formats, is your top priority alongside performance optimization, DoubleVerify stands out. If you’re a brand-conscious advertiser seeking highly granular brand suitability, global reach, and innovative attention metrics, IAS might be your best fit. For organizations that need unparalleled data depth for post-campaign analysis, extensive historical data, and integration with a broader tech stack, Oracle Moat is a strong contender.
Integration capabilities are also crucial. All three platforms offer widespread integrations with DSPs and ad servers. However, if your company already uses other Oracle products, Moat might offer the most seamless and synergistic experience. Consider the ease of setting up these integrations and how well they fit into your existing ad tech stack.
Finally, assess the user experience and reporting granularity. IAS and DV often boast more intuitive dashboards suitable for everyday campaign managers and media traders who need quick insights and real-time adjustments. Moat, while powerful, might require a steeper learning curve but rewards users with an unmatched depth of data that can inform long-term strategic decisions. Evaluate which platform provides the reports and insights most actionable for your team’s workflow.
Frequently Asked Questions
Q: What is the primary difference between IAS and DoubleVerify in 2026?
A: While both are market leaders, IAS in 2026 emphasizes comprehensive ad quality, including advanced attention metrics and sophisticated brand suitability, with a strong focus on global reach and AI-driven insights. DoubleVerify, conversely, is particularly renowned for its industry-leading fraud prevention (especially against SIVT/GIVT and CTV fraud) and its outcome-driven performance optimization tools, often favored by advertisers prioritizing efficiency and ROI.
Q: Is Oracle Moat still a competitive option for video viewability in 2026?
A: Absolutely. While its pricing and integration model are typically geared towards larger enterprises, Oracle Moat remains highly competitive in 2026, especially for deep-dive analytics and attention measurement. Its granular reporting capabilities and strong integration within the Oracle Advertising ecosystem make it an invaluable tool for companies that require extensive data for strategic optimization and already leverage Oracle’s broader tech stack.
Q: How much do video viewability analytics platforms cost in 2026?
A: Costs vary significantly based on features and usage. CPM-based models from IAS and DoubleVerify generally start from $0.05 to $0.10 per thousand verifiable impressions for core services. Enterprise packages or those with advanced features (like comprehensive brand suitability, attention metrics, or CTV fraud detection) can be substantially higher. Oracle Moat is typically enterprise-focused, with custom quotes often starting from $3,000-$5,000 per month and increasing with feature set and volume.
Q: What is MRC accreditation and why does it matter for viewability?
A: MRC (Media Rating Council) accreditation signifies that a platform’s measurement methodologies and metrics have been rigorously audited and deemed compliant with industry standards. For viewability, MRC accreditation assures advertisers that the reported data (e.g., 50% of pixels in view for 2 seconds for video) is accurate, reliable, and consistent. It provides a level of trust and transparency essential for sound investment decisions in digital advertising.
Verdict
Choosing the ‘best’ video viewability analytics platform in 2026 isn’t about finding a single overall winner, but rather the best fit for your unique advertising ecosystem and strategic objectives. All three, Integral Ad Science, DoubleVerify, and Oracle Moat, are MRC-accredited and offer robust solutions to ensure your video ads are viewable, safe, and free from fraud.
For advertisers prioritizing cutting-edge fraud protection, performance outcomes, and a highly intuitive user experience, particularly for high-volume programmatic and CTV campaigns, DoubleVerify often takes the lead. Their focus on the ‘Authentic Ad’ resonates strongly with performance marketers.
If your primary concern is comprehensive ad quality, granular brand suitability, global reach, and pioneering attention metrics across all video formats, then Integral Ad Science (IAS) is likely your top choice. They continually push the boundaries of what’s measurable in ad quality beyond mere viewability.
For large enterprises requiring unparalleled depth of data, highly detailed post-campaign analysis, and seamless integration within a broader Oracle tech stack, Oracle Moat remains an extremely powerful and insightful platform. While its pricing might be higher and its interface more analytical, the richness of its data is unmatched for strategic optimization.
Ultimately, we recommend evaluating your specific campaign goals for 2026. Do you need real-time blocking or deep post-bid analysis? Is budget efficiency paramount or is granular insight worth a premium? Whichever platform you choose, investing in a robust video viewability analytics solution from IAS, DoubleVerify, or Oracle Moat is a non-negotiable step towards maximizing your video advertising ROI in today’s complex digital landscape.
Prices and features mentioned are accurate as of the date of publication. Always check the official provider website for the most current pricing and availability.
