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With the deprecation of third-party cookies looming over the ad industry, marketers and publishers alike are focused on strengthening their direct consumer data relationships. A core pillar of that strategy is handling the data they collect directly from users and customers (known as first-party data) in a privacy preserving manner.
Snowflake data clean rooms allow for sensitive data derived from unique identifiers, such as emails, hashed emails, names, device IDs, and IP addresses, to be leveraged while preserving privacy. From there, marketers can segment and target existing customers by finding overlaps with a publisher’s audience without ETL (that is, without having to move or copy the data).
Download our white paper to learn how Snowflake’s data clean rooms help publishers and marketers improve ad effectiveness, including:
New approaches marketers must adopt for targeting and measurement in a cookieless world
How Snowflake data clean rooms are different from other privacy sandboxes
How NBCUniversal uses Snowflake data clean rooms to power its cross-cloud data clean room environment