Using BigQuery and Vertex AI, marketers can create calculated or predictive audiences based on first-party data and machine learning models. This enables advanced segmentation, propensity modeling, and audience activation. As some advanced integrations may face reduced reach or additional compliance steps, careful planning is recommended to ensure compliance and scalability.

Most premium CTV publishers and broadcasters can layer their own first-party data on top of both reservation buys and programmatic deals. This is particularly valuable when aiming to target very specific audiences who typically engage with content from a particular broadcaster or publisher. Sell-side targeting offers a range of popular audience capabilities, helping advertisers reach the right viewers more effectively. Seller-defined audiences segment users based on interest and purchase intent, using the IAB Tech Lab audience taxonomy standard. This process does not rely on personally identifiable information (PII) or cookies, ensuring privacy is respected. When a publisher is using Google’s SSP (Google Ad Manager), they can pass their Publisher Provided Identifier (PPID) as part of the deal, enabling the inclusion of first-party data. Alternatively, publishers can provide Publisher Provided Signals (PPS) for contextual targeting, offering additional flexibility in campaign optimization.

AI copilots represent the next frontier in CTV campaign management, using machine learning and advanced analytics to transform measurement insights into actionable strategies. By analyzing large volumes of data – including attention scores, engagement metrics, and cross-platform performance – AI copilots can recommend real-time optimizations for targeting, creative, and budget allocation. These systems automate adjustments to campaigns, ensuring that ads are delivered to the most receptive audiences at the right time, while maintaining compliance with privacy regulations.