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Brief
Treasure Data

Treasure Data

Unifies customer data from hundreds of sources at enterprise scale to enable AI-driven personalization and omnichannel activation, helping brands deliver consistent and relevant customer experiences.

treasuredata.comMountain View, California, United StatesFounded 2011Parent: SoftBank Group

Last updated Jun 6, 2026 by ATDb automated enrichment · Connections updated Jun 8, 2026

Industry
Customer Data Platform (CDP)
Business Model
SaaS
Target Market
Enterprise
Employee Count
501-1000
Funding
$63M
Revenue Range
$50M-$150M
Stock Symbol
N/A
Parent Company
SoftBank Group
API Available
Yes
Market Position

Leading enterprise CDP known for scalability and big data capabilities, with strong presence in APAC and Fortune 500 accounts

Overview

Treasure Data is an enterprise-grade Customer Data Platform (CDP) that collects, unifies, and activates customer data from hundreds of sources to create a single, actionable customer profile. Founded in 2011 and headquartered in Mountain View, California, the company serves large enterprises across retail, automotive, financial services, and media industries, helping them break down data silos and deliver personalized experiences at scale. Treasure Data is particularly known for its ability to handle extremely large data volumes, making it a preferred choice for Fortune 500 companies and global brands with complex, high-volume data environments. The platform combines a robust data ingestion layer, a cloud-based data warehouse, machine learning capabilities, and audience segmentation tools to power marketing activation, customer analytics, and journey orchestration. Its AI and ML features allow marketers and data teams to build predictive models, identify high-value segments, and trigger real-time personalization across channels including email, web, mobile, and paid media. The company was acquired by Arm Holdings in 2018 and later divested to become an independent company under Symphony Technology Group (STG) in 2021, before being acquired by Kochava parent company Kochava Inc. — though it continues to operate as a distinct brand. In the competitive CDP landscape, Treasure Data differentiates itself through enterprise scalability, a strong presence in the Asia-Pacific market (particularly Japan), deep data engineering capabilities, and a heritage in big data infrastructure. It competes with platforms like Salesforce CDP, Adobe Real-Time CDP, and Tealium, but is often favored by organizations with large, complex data architectures requiring a highly flexible and scalable solution.

Products & Features

Customer Data Platform

Core CDP that ingests, unifies, and activates customer data from hundreds of online and offline sources into a single customer profile.

Treasure Data Audience Studio

Audience segmentation and activation tool enabling marketers to build, analyze, and activate customer segments across channels.

Treasure Data Journey Orchestration

Cross-channel customer journey orchestration enabling personalized, triggered communications based on real-time and historical behavior.

Treasure Data AI/ML Suite

Built-in machine learning capabilities for predictive scoring, churn prediction, lookalike modeling, and next-best-action recommendations.

Treasure Data Data Workbench

SQL-based data exploration and analytics environment for data engineers and analysts to query and transform unified customer data.

Treasure Data Connections

Pre-built connectors and integrations to ingest data from hundreds of sources and activate audiences across marketing and advertising platforms.

Key Features
Real-time and batch data ingestion from 200+ sourcesUnified customer profile with identity resolutionAI/ML-powered predictive analytics and scoringAudience segmentation and activationCross-channel journey orchestrationFirst-party data management and enrichmentPrivacy and consent managementSQL-based data workbench for analystsPre-built connectors to major ad platforms and marketing toolsScalable cloud data warehouse infrastructure
Use Cases
Unified customer profile creation across online and offline touchpointsPersonalized marketing campaign activationCustomer churn prediction and retention programsLookalike audience modeling for paid mediaCross-channel journey orchestrationCustomer lifetime value analysisFirst-party data strategy and cookieless targetingRetail personalization and product recommendationsAutomotive customer lifecycle managementFinancial services customer segmentation and compliance
Customer Segments
Retail and e-commerceAutomotiveFinancial services and bankingMedia and entertainmentTravel and hospitalityTelecommunicationsConsumer packaged goods (CPG)Technology companies
Corporate history
  • 2011Founded
See alternatives to Treasure Data See integrations with Treasure Data (25)

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