Case Study: Siavak achieves faster, scalable marketing reporting and expanded client offerings with Supermetrics for BigQuery

Siavak Diversifying client offering and improving marketing reporting with Supermetrics for BigQuery

Siavak, a Budapest-based analytics-focused marketing agency, struggled as client data from Google Analytics and multiple paid platforms outgrew Google Sheets and the blending limits of Google Data Studio. To build a scalable marketing data warehouse in Google BigQuery and eliminate manual data modeling and spreadsheet constraints, Siavak adopted Supermetrics for BigQuery.

Supermetrics for BigQuery now automatically pulls, models and exposes marketing and client data as BigQuery views ready for Google Data Studio, removing the 5‑million cell Google Sheets limit and greatly improving report speed and multi-year, unsampled queries. By centralizing data (including User ID joins) Supermetrics gave Siavak full client data ownership, reduced the need for custom SQL, enabled 360° user-journey analysis, and made scalable analytics and future ML/GCP use cases feasible for both enterprise and SMB clients.

Siavak

Ahmad Kanani

Founder and Director