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CASE STUDY

Specialty Retailer: GCP-Based Customer Analytics Platform

A specialty retailer rebuilt its customer analytics platform on Google Cloud (BigQuery + Vertex AI). Personalization model accuracy up 34%; campaign ROAS up 22%.

May 9, 2026 · 2 min read · By admin
At a glance
34% CHANGE
Industry
Retail
Topics
Cloud Services · Data & Analytics · GCP
Published
May 2026
Headline outcome
34% Personalization model accuracy: up 34%

Measured outcomes

What this programme actually delivered.

34%

Personalization model accuracy: up 34%

22%

Campaign ROAS: up 22%

The challenge

A specialty retailer ran customer analytics on a legacy on-prem warehouse that struggled with the volume and velocity of their multichannel customer data. Personalization models trained on stale data.

What we built

GCP analytics platform — BigQuery for warehousing, Dataflow for streaming, Vertex AI for ML model training and serving. Real-time customer-360 served via Firestore for personalization-edge use cases.

Outcomes

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