How does identity resolution work in CTV advertising?

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Last updated: April 8, 2026

Quick Answer: Identity resolution in CTV advertising works by linking anonymous CTV device IDs to known user profiles using probabilistic and deterministic matching techniques. This process enables advertisers to target specific audiences across different CTV platforms and measure campaign performance accurately. For example, a 2023 study by eMarketer found that CTV ad spending reached $25.9 billion in the US, with identity resolution being crucial for 78% of advertisers to achieve effective targeting. The technology typically combines first-party data, third-party data partnerships, and device graphs to create unified customer profiles.

Key Facts

Overview

Identity resolution in Connected TV (CTV) advertising refers to the process of identifying and linking viewers across different CTV devices and platforms to create unified customer profiles. This technology emerged as CTV viewership exploded, with over 87% of US households now having at least one CTV device according to 2023 Nielsen data. The need for identity resolution became critical as traditional TV advertising methods proved inadequate for digital-style targeting and measurement in the CTV space. Historically, TV advertising relied on broad demographic targeting through Nielsen ratings, but CTV's digital nature demanded more precise, person-level targeting similar to online advertising. The development of identity resolution solutions accelerated around 2018-2020 as major platforms like Roku, Amazon, and Google developed their own identity graphs. Today, identity resolution is essential for bridging the gap between traditional TV's reach and digital advertising's precision, enabling advertisers to deliver relevant ads while respecting privacy regulations like GDPR and CCPA.

How It Works

Identity resolution in CTV advertising operates through a multi-step process that begins with collecting device identifiers from CTV platforms. When users stream content on devices like Roku, Amazon Fire TV, or smart TVs, these platforms generate unique device IDs. The resolution process uses both deterministic matching (exact matches using logged-in user data) and probabilistic matching (statistical models based on device attributes, IP addresses, and viewing patterns). For example, if a user logs into Netflix on their Roku device and also uses the same email for Walmart shopping, identity resolution can link these activities. Advanced systems create device graphs that map relationships between CTV devices, mobile phones, tablets, and computers in the same household. These systems typically process billions of data points daily, using machine learning algorithms to improve match accuracy over time. Privacy safeguards include hashing personal data and implementing consent management platforms to comply with regulations.

Why It Matters

Identity resolution matters because it transforms CTV from a broadcast medium into a targeted advertising channel capable of driving measurable business outcomes. Without identity resolution, CTV advertising would revert to traditional TV's broad demographic targeting, wasting ad spend on irrelevant viewers. With proper identity resolution, advertisers can achieve 30-50% higher engagement rates and 20-40% better return on ad spend according to industry studies. This technology enables crucial advertising capabilities like frequency capping (limiting how often users see the same ad), cross-device attribution (tracking how CTV ads influence mobile or web conversions), and audience segmentation (targeting specific customer groups). For consumers, identity resolution means more relevant ads and fewer repetitive messages, while for advertisers it provides the accountability and measurement that digital channels offer. As CTV continues to grow, identity resolution will be essential for maintaining advertising effectiveness in a privacy-conscious world.

Sources

  1. Connected TVCC-BY-SA-4.0

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