Bayer is pulling its programmatic strategy tighter to home, bringing control of its custom ad-buying algorithm in-house and into Snowflake’s data clean room. Partnering with Chalice AI, Bayer now runs its model inside its own data ecosystem—one that includes media, creative, and commerce info—without shifting sensitive files all over the place. Previously, integrating the algorithm was a back-and-forth jog across legal, privacy, and technical checkpoints. Now it’s a sprint, and it’s already delivered: a 6% sales lift for Claritin among new buyers.
The setup gives Bayer faster feedback loops and deeper reach into its own troves of first- and third-party data. With Chalice’s app embedded in Snowflake, Bayer’s internal teams can fine-tune the model in real time, making it easier to tap into new data streams. That could mean broader audience targeting or reacting more nimbly to performance shifts—without sharing data externally. Plus, with media buying already handled in-house, the algorithm isn’t just another tool. It’s part of the team.
Bayer says this move also tees them up for the next frontier: agentic AI. Think algorithms that not only optimize campaigns but actually decide what to buy and when. While truly autonomous ad trading hasn’t arrived yet, Snowflake and other partners are building toward it. And Bayer’s decision to house its model near its data and media teams puts it in a position to scale when those AI agents are ready to take the wheel—or at least co-pilot a few campaigns.
Read more at AdAge.