Share on LinkedIn
Share on XBypass technical bottlenecks and turn static customer data into dynamic, high-converting audiences at the speed of AI.
For years, the promise of first-party data has outpaced the reality. Brands have invested heavily in CRM (Customer Relationship Management) platforms, CDPs (Customer Data Platforms), and data warehouses, only to find that the data sits in one place while the intelligence needed to act on it sits somewhere else. Until now, connecting the two required slow manual work and technical teams that most marketers can’t wait for.
Databricks CustomerLake changes that equation. And IAS is part of how it works.
What the Agentic CDP Actually Solves
Today, Databricks launched CustomerLake, an Agentic CDP built natively in the Databricks platform. Traditional CDPs sit outside of the company’s core Data and AI platform, creating a separate silo to integrate, govern, and reconcile. An Agentic CDP brings core capabilities like identity resolution, segmentation, and activation directly to the governed data foundation, and is built for marketing teams to work alongside AI agents to replace manual, fragmented martech workflows with autonomous campaign capabilities.
This isn’t just a new feature; it’s a shift toward a model where intelligence operates exactly where your customer data, models, and logic live.
Marketing teams no longer need to file tickets for technical requests like building specific audiences or automating campaign logic. Marketers get faster access to better insights, and data teams are freed up to focus on bigger projects. Most importantly, the whole system operates within the compliance and governance controls enterprises already have in place, without creating new silos or duplicating sensitive data.
How the IAS Partnership Strengthens Your Customer Data
As a launch partner for CustomerLake, IAS enables two powerful capabilities to help clients extract more value from their first-party data.
- Connect first-party data to IAS signals. Brands can link their records to IAS’s contextual and attention signals through durable clean-room connections directly within CustomerLake. By leveraging IAS intelligence informed by over 300 billion daily media transactions, clients can overlay media interaction and page signals—such as content affinity, viewability, and brand safety—to augment their Customer 360 profiles. This can result in sharper segmentation with more relevant messaging to inform media investment decisions.
- Enhance lookalike audiences with IAS media quality intelligence. Clients can enhance their first-party audiences with IAS media quality understanding including contextual and behavioral footprints of high-value cohorts to identify new, similar audiences with the ability to target those audiences contextually without reliance on third-party cookies. Contextual segments based on joint customer analysis can be built directly within the CustomerLake environment and then be deployed by IAS through your preferred DSPs to extend campaign targeting opportunities.
Together, these capabilities point to what becomes possible. Imagine asking your AI agent to “find new customers who look like our highest-value buyers.” The agent can now build and deploy contextual targeting based on real engagement signals, ensuring your ads appear in the right environments to drive conversions more effectively with the power of IAS media quality intelligence.
Why the Agentic Layer Matters for Both of These
The real difference here is speed. In a traditional setup, matching third-party signals with your data is a long project that involves multiple teams. Often, by the time the data is ready, the campaign window has closed.
With the AI-powered workflow of CustomerLake, IAS signals flow into your data continuously. Your data stays fresh automatically. When you start a campaign, you’re working with the most current insights available, not a snapshot from weeks ago.
This is the real unlock: not just better data, but better data delivered at the speed the agentic model requires. Agents making decisions about audience selection, campaign optimization, and next-best action need trusted, current signals to work from. Together, CustomerLake provides the Agentic CDP foundation and IAS provides media quality and contextual signals to help marketing teams drive greater performance at enterprise scale.
Looking Ahead: A New Standard for Ad Tech
The industry is reaching a turning point where transparency and intelligence are built directly into data infrastructure. By making IAS signals available within Databricks CustomerLake, we ensure that media quality informs your decisions earlier and more effectively than ever before.
For brands looking to get more from their first-party data, the combination of CustomerLake and IAS provides a path to richer audience understanding without adding complexity to an already crowded martech stack.
To learn more about how IAS and Databricks can enhance your audience strategy, contact your IAS representative today.
