Customedia case study | Google Cloud
Use case typeConversational analyticsUpdated Jun 21, 2026
Customedia and its sister brand Custom Analytics moved from an incumbent platform to Google Cloud to improve the reliability and scalability of advertising data ingestion and client reporting. The solution combines BigQuery, Looker, Gemini, Cloud Run, and Cloud Storage to build a unified data stack, self-service reporting, and natural-language analytics for media and creative briefs. The companies report better customer trust and a 90% reduction in data ingestion failures.
- Organization
- Customedia
- Industry
- Professional Services
- Location
- Australia
- Published
- June 2026
Reported outcomes
−90%
data ingestion failuresOther quantified impact
Strategic outcomes
Customer experience & trustImproved customer trust in reportingBetter decisions & insightEnabled natural-language data interrogationRisk & complianceCreated a more robust and reliable reporting solution
Primary read
Use case focus
Showing 2 of 2
- 1Conversational analytics
- 2Workflow automation
- Frequent breaks and poor reliability in data ingestion from multiple advertising platforms.
- Inability to scale cost-effectively for media measurement and client reporting.
- Unified data into BigQuery and visualized it in Looker as a source of truth.
- Used Gemini-powered applications in Cloud Run for reporting assistance and brief generation.
- Integrated Cloud Storage and other platform data through native and third-party connectors.
Technologies
- Reduced data ingestion failures by 90%.
- Improved customer trust through more reliable access to data.
- Enabled self-service interrogation of data and plain-language insights.
Implementation partners1
Sources & evidence1
Groundedness: 4/5Type: Customer StoryPublished: Jun 21, 2026Publisher: Google CloudEvidence: PrimaryConfidence: High
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