MediaOne’s Journey to a Modern Marketing Warehouse
Standardizing data across platforms and reducing dashboard load times from minutes to seconds
MediaOne’s Journey to a Modern Marketing Warehouse
Blumie helped MediaOne cut dashboard load times from minutes to seconds and unify metrics across every ad platform by replacing live API queries with a BigQuery data warehouse built on a Bronze/Silver/Gold architecture.
Who is MediaOne?
MediaOne is a strategic marketing agency founded in 2015 and based in Atlanta, Georgia. They work with fast-scaling brands to create high-performing campaigns, connecting data across platforms like Google, Meta, Bing, and DSPs to identify opportunities to boost audience engagement and deliver higher ROI.
What problem was MediaOne trying to solve?
MediaOne’s team relied on Supermetrics to connect live marketing data into Looker Studio dashboards, pulling cross-channel metrics from Google Analytics 4 (GA4), Google Ads, Facebook Ads, and Bing Ads. This setup worked well early on: it was fast to deploy and gave the team quick access to data with low friction.
As the business scaled, four problems showed up:
- Dashboards slowed down with larger datasets
- Metrics varied across platforms
- Business logic had to be maintained manually
- There was no centralized data layer or long-term historical access
These challenges aren’t unique to MediaOne or Supermetrics. They’re common whenever analytics rely on live API queries instead of a structured backend.
How did Blumie solve it?
Blumie designed and implemented a modern data stack using BigQuery as the warehouse, organized into a Bronze/Silver/Gold architecture:
- Bronze Layer, Raw Data. Supermetrics automates data extraction into BigQuery, preserving clean historical records for every source.
- Silver Layer, Standardized Logic. We aligned naming conventions and calculated metrics like CTR, CPA, and ROAS consistently across platforms, giving the team clean, unified views.
- Gold Layer, Optimized Reporting. These final tables are pre-aggregated for Looker Studio, partitioned by date for speed, clustered for filtering, and auto-managed to keep costs lean.
What were the results?
What’s next for MediaOne?
With a solid warehouse in place, MediaOne’s team no longer depends on live queries or manual workarounds. They rely on daily-refreshed, standardized KPIs to optimize campaigns, track performance, and communicate clearly with clients.
The new stack also opens the door to advanced analytics: churn prediction, budget pacing, and AI-generated insights, all built on top of their existing Supermetrics pipeline.