Case Study: Yieldmo achieves 20x faster advertising predictions with Snowflake

A Snowflake Case Study

Preview of the Yieldmo Case Study

Yieldmo Produces Advertising Predictions 20x Faster at 25% the Cost with Snowpark Container Services

Yieldmo, a programmatic advertising exchange, needed to make split-second, privacy-first advertising predictions from billions of daily impressions while managing rising data privacy requirements and the complexity of low-latency AI decision-making. Using Snowflake, including Snowpark Container Services, Yieldmo aimed to democratize data, reduce data movement, and keep costs under control while supporting its engineering and data science teams.

Snowflake helped Yieldmo accelerate its predictive advertising workflows, delivering advertising predictions 20x faster and reducing the inference layer cost by 75%, or to 25% of the previous cost. With Snowflake, Yieldmo was able to improve real-time campaign optimization and fuel better decisions across multiple teams.


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Yieldmo

Duc Chau

Chief Technology Officer


Snowflake

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