What verification vendors work with CTV?

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Last updated: April 8, 2026

Quick Answer: CTV verification vendors include companies like DoubleVerify, Integral Ad Science (IAS), and Moat by Oracle, which provide measurement and fraud detection for connected TV advertising. These vendors use technologies such as device-level data collection and AI to verify ad delivery, viewability, and brand safety across CTV platforms. The CTV verification market is growing rapidly, with eMarketer projecting US CTV ad spending to reach $29.24 billion by 2024, up from $18.29 billion in 2022. Major partnerships include IAS working with Roku and DoubleVerify collaborating with Samsung Ads to enhance verification capabilities.

Key Facts

Overview

CTV verification vendors are specialized companies that provide measurement, fraud detection, and brand safety solutions for connected TV advertising. Connected TV refers to television content streamed via internet-connected devices like smart TVs, streaming sticks (Roku, Amazon Fire TV), gaming consoles, and set-top boxes. The CTV advertising market has grown significantly since the mid-2010s, with adoption accelerating during the COVID-19 pandemic as streaming viewership surged. According to eMarketer, US CTV ad spending reached $18.29 billion in 2022, representing 21.5% of total digital video ad spending. The need for verification emerged as advertisers shifted budgets from traditional linear TV to CTV, requiring transparency and accountability similar to digital advertising. Major verification vendors entered the CTV space around 2018-2019 as the market matured, with companies like DoubleVerify and IAS expanding their digital verification capabilities to include CTV.

How It Works

CTV verification works through a combination of device-level data collection, AI algorithms, and contextual analysis. Vendors typically use software development kits (SDKs) or application programming interfaces (APIs) integrated into CTV apps and platforms to collect data points like device IDs, IP addresses, ad impressions, and viewing duration. This data is analyzed to verify that ads are delivered to real human viewers (not bots), appear in brand-safe content, and meet viewability standards (typically 100% of the ad in view for 2+ seconds). For fraud detection, vendors use machine learning to identify patterns like abnormal impression volumes or suspicious device behavior. Contextual verification involves analyzing video content using computer vision and natural language processing to ensure ads don't appear alongside inappropriate material. Some vendors also provide audience verification by matching device data with demographic information to confirm ads reach target audiences. The verification process happens in near real-time, with results reported through dashboards that show metrics like invalid traffic rates, viewability percentages, and brand safety scores.

Why It Matters

CTV verification matters because it provides transparency and accountability in a rapidly growing advertising channel where traditional TV measurement methods don't apply. Without verification, advertisers risk wasting budgets on fraudulent impressions, inappropriate content placements, or ads that aren't actually viewed. Verified campaigns typically show 15-30% higher performance metrics according to industry studies. This verification enables advertisers to confidently shift budgets from linear TV to CTV, knowing they can measure ROI effectively. For publishers and platforms, verification helps maintain advertiser trust and command premium ad rates. The technology also supports industry standards development through organizations like the IAB Tech Lab, which released CTV-specific measurement guidelines in 2021. As CTV continues to fragment across numerous platforms and devices, verification becomes increasingly essential for unified campaign measurement and optimization across the streaming ecosystem.

Sources

  1. eMarketerProprietary
  2. DoubleVerifyProprietary
  3. Integral Ad ScienceProprietary

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