Can you use CRM data for CTV targeting?

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Last updated: April 8, 2026

Quick Answer: Yes, CRM data can be used for CTV targeting through data onboarding platforms that match CRM identifiers with CTV device IDs. This process typically involves hashing email addresses from CRM systems and matching them against CTV provider databases, with match rates averaging 60-80% according to industry reports from 2023. Major CTV platforms like Roku, Amazon Fire TV, and Samsung Smart TV support CRM-based targeting through partnerships with data onboarding services. This integration allows advertisers to reach existing customers or lookalike audiences on connected TV screens with personalized messaging.

Key Facts

Overview

CRM data integration with CTV targeting represents a significant advancement in digital advertising, emerging prominently around 2018 as CTV adoption accelerated. Connected TV refers to internet-connected television devices including smart TVs, streaming sticks, and gaming consoles that enable over-the-top (OTT) content delivery. The ability to leverage CRM data for CTV targeting developed as advertisers sought to extend customer relationship management beyond traditional digital channels to the living room screen. This convergence addresses the fragmentation of modern media consumption, where viewers increasingly shift from linear TV to streaming platforms. According to Nielsen's 2023 report, CTV now reaches over 80% of U.S. households, creating a substantial audience for targeted advertising. The technology infrastructure supporting this integration includes identity resolution platforms, data management platforms (DMPs), and customer data platforms (CDPs) that facilitate the secure matching of CRM records with CTV viewing households.

How It Works

The technical process begins with advertisers exporting anonymized customer data from their CRM systems, typically email addresses or phone numbers. This personally identifiable information (PII) is then hashed using SHA-256 or similar cryptographic algorithms to create privacy-compliant identifiers. Data onboarding services like LiveRamp, Oracle Data Cloud, or Neustar receive these hashed identifiers and match them against their own databases of CTV device IDs through deterministic or probabilistic matching methods. Deterministic matching relies on exact matches between hashed identifiers and CTV provider records, while probabilistic matching uses statistical models to identify likely matches based on multiple data points. Once matched, the anonymized audience segments are made available within demand-side platforms (DSPs) for CTV campaign activation. Advertisers can then deploy targeted ads to specific households across various CTV platforms, with measurement capabilities tracking exposure and engagement through attribution models that connect CTV views to subsequent customer actions.

Why It Matters

CRM-to-CTV targeting matters because it enables advertisers to achieve greater precision and personalization in their television advertising, addressing the $25.9 billion CTV advertising market more effectively. This approach allows brands to extend customer relationships to the largest screen in the home, creating cohesive cross-channel experiences. For customer retention, companies can target existing customers with relevant messaging, special offers, or loyalty program promotions on CTV. For acquisition, advertisers can build lookalike audiences based on CRM data to reach new households with similar characteristics to their best customers. The impact includes improved advertising efficiency with reduced waste compared to traditional demographic-based TV buying, as evidenced by case studies showing 30-50% higher engagement rates for CRM-targeted CTV campaigns. This technology also supports measurement of TV advertising effectiveness through closed-loop attribution, helping marketers understand how CTV exposure influences customer behavior across online and offline channels.

Sources

  1. Connected TVCC-BY-SA-4.0
  2. Customer Relationship ManagementCC-BY-SA-4.0

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