Case Study: Teads achieves deeper ad campaign insights with Looker

Teads Delivering data insights on 100 billion events daily for better advertising effectiveness

Teads, the France-based digital advertising platform serving over 1.4 billion people each month, needed a more scalable way to analyze massive ad-event data and deliver richer campaign insights. Its previous database couldn’t cross-query all the necessary dimensions, making it hard to support detailed reporting as the business grew about 50% year over year. While the case study is about Google Cloud, Teads needed a solution that could handle its expanding data volumes and simplify database maintenance.

Teads implemented Looker-style analytics on top of Google Cloud tools, using BigQuery with Cloud Dataflow and Cloud Storage to pre-aggregate and query around 100 billion daily events. The result was faster analysis, more detailed customer reports, and the ability to run calculations in minutes, while keeping costs stable despite rapid growth. With less time spent on maintenance, Teads’ team could focus on new products and revenue streams, including ad attribution for its Teads True Visits offering.

Teads

Alban Perillat-Merceroz

Software Engineering Manager