Case Study: Faraday achieves scalable, BigQuery-native consumer insights with CARTO

A CARTO Case Study

Preview of the Faraday Case Study

Unlocking Consumer Insights at Scale with Cloud Native Spatial Analytics

Faraday is a consumer prediction platform that helps direct-to-consumer brands (like Therabody and Burrow) deliver personalized marketing using no-code AI. They faced the challenge of visualizing and segmenting massive, fast-changing consumer datasets ingested into Google BigQuery while keeping the interface fast and flexible enough for nontechnical users and data scientists alike.

By partnering with CARTO’s cloud-native Location Intelligence running directly on BigQuery, Faraday gained seamless, scalable spatial analytics without complex ETL. The integrated solution lets teams visualize millions of consumer records, run on‑the‑fly spatial analyses, and create precise audience segments—yielding faster business decisions, easier campaign targeting and expansion planning, and broader internal adoption of geospatial insights (including a reported 3x increase in people using these insights).


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Faraday

Seamus Abshere

Co-founder and Chief Technology Officer


CARTO

87 Case Studies