Which companies use Treasure Data?

Treasure Data is trusted by global enterprise brands across industries, including Toyota, Subaru, LG, Canon, Shiseido, AB InBev, and Mattel. These companies use Treasure Data's AI-native Customer Data Platform to unify customer data, personalize experiences, and drive measurable business outcomes like increased conversion rates and reduced customer acquisition costs.

What are common CDP use cases?

Common enterprise CDP use cases include: (1) Unified customer profiles — combining data from 200+ sources into a single view, (2) Audience segmentation — building precise segments for targeted campaigns, (3) Journey orchestration — automating personalized cross-channel customer journeys, (4) Predictive analytics — using AI to forecast churn, lifetime value, and next-best actions, (5) Data activation — syncing segments to ad platforms, email tools, and CRMs in real time, and (6) Privacy compliance — managing consent and data governance across regions.

How does Treasure Data help with customer personalization?

Treasure Data enables personalization by unifying all customer data into a single profile, then using AI to predict preferences and automate tailored experiences across channels. For example, Subaru uses Treasure Data to deliver personalized content across the car-buying journey, achieving a 2.5x conversion lift. The platform's AI Marketing Cloud and Marketing Super Agent can autonomously generate campaign strategies, select audiences, and optimize messaging.

Is Treasure Data suitable for enterprise companies?

Yes. Treasure Data is purpose-built for enterprise scale, processing trillions of customer records with SOC 2, HIPAA, GDPR, and CCPA compliance. It supports flexible deployment — either as a complete all-in-one platform or in composable mode on top of your existing data warehouse. Named a Leader by Forrester in B2B CDPs (Q3 2025), it serves some of the world's largest brands across automotive, retail, CPG, financial services, and technology industries.