Case Study: Largest Fashion Retailer achieves holistic campaign analytics with Tredence and GCP

How Tredence Empowered a Global Retailer with Holistic Campaign Analytics Using GCP

The Largest Fashion Retailer in the USA needed a better way to gain holistic learnings from its marketing campaigns, improve customer selection and campaign design, and track changes in customer behavior. Traditional reporting with Tableau, multiple analyst deep dives, and legacy Hadoop/Teradata systems made insights slow, unorganized, and hard to scale. Tredence stepped in to support this need with its TALP platform and Google Cloud Platform (GCP).

Tredence implemented a hybrid on-prem and cloud solution using GCP services such as BigQuery, Cloud Storage, Vertex AI Notebook, GKE, and others to unify customer, channel, clickstream, and transaction data into a single campaign analytics environment. The platform enabled self-service, real-time analysis and cross-sectional insights for campaign owners and marketing managers, helping the retailer optimize campaign design and audience selection. Since launch, TALP has processed 10+ TB of data per week, reduced overall costs by 30–35%, and cut workload processing times by 80%+ for many analytics jobs.