Case Study: Cignal.io achieves real-time advertising insights with Rivery

Cignal.io achieves real-time ad insights at lightning speed with an automated process for collating data

Cignal.io, an AI and machine-learning company focused on advertising technology, needed to deliver highly valuable bidding insights in real time. As their client base grew, they faced increasing strain from continuous querying and processing across more than 200 data points from multiple demand and supply sources, making speed and scalability a major challenge. They worked with Rivery and its data integration capabilities to support their data operations.

Using Rivery with Snowflake in their BI stack, Cignal.io built a serverless data pipeline to orchestrate sources, unify internal data, and turn large-scale raw marketplace data into actionable insights. The result was a single data platform for analysis, faster automated data collation, and real-time performance visibility, with reported gains including 23% lift, +93% stream efficiency, +74% SPO Index, and $201K in infrastructure savings.

Cignal.io