AI TOOL PROFILE
Treasure Data: AI and Customer Data Platform (CDP)
- Marketing
- Marketing Automation
- Enterprise companies
- Mid-market companies
- Marketing operations teams
- Lifecycle and growth marketers
Pricing
Pricing is usage-based for the Intelligent CDP, with annual subscriptions tiered by profiles and behaviors. AI Marketing Suites require additional fixed annual licenses.
At a glance
- Best for
- Enterprise companies, Mid-market companies, Marketing operations teams, Lifecycle and growth marketers
- Key use cases
- First-Party Data Unification, AI-Assisted Campaign Planning, Cross-Channel Orchestration, Predictive Audience Targeting
- Integrations
- Salesforce, Google Ads, Google Analytics, Amazon S3, Snowflake
- Official website
- Visit treasure data official website
How AI is used
Treasure Data is an AI-native Customer Data Platform (CDP) designed to unify first-party customer data from various sources. It acts as a system of record that supports the creation of unified customer profiles to be activated across different channels.
The platform is intended for campaign managers and marketing operations teams. It combines data ingestion, intelligence, and activation to support digital workflows.
The system includes an AI Marketing Cloud with suites for engagement, personalization, and creative automation. Users may deploy pre-built AI agents or develop custom ones via an agent foundry to assist with campaign planning and segmentation.
Buyers should confirm if the usage-based pricing model aligns with their data volumes and profile counts.
Key Features
Intelligent CDP
A data platform that unifies first-party customer data into a single, continuously updated profile known as a Diamond Record.
AI Agent Foundry
A workspace for building and managing custom AI agents tailored to specific business marketing requirements.
AI Marketing Suites
Toolsets for omnichannel engagement, real-time personalization, creative automation, and paid media optimization.
Journey Orchestration
Tools to design and automate cross-channel customer journeys that react to behavioral signals in real time.
Real-time Segmentation
Capabilities to build and update audiences using live contextual and behavioral data.
Use Cases
First-Party Data Unification
Collecting and unifying customer data from multiple sources into a single record for a consistent view of the customer.
AI-Assisted Campaign Planning
Using AI agents to support market research, design execution plans, and optimize campaign activation.
Cross-Channel Orchestration
Managing customer interactions across email, SMS, and other channels based on AI-driven audience intelligence.
Predictive Audience Targeting
Identifying high-value buyers or at-risk customers using propensity modeling and predictive scoring.
Integrations
- Salesforce
- Google Ads
- Google Analytics
- Amazon S3
- Snowflake
- Microsoft Azure
- Hubspot
- Adobe Experience Cloud
- Facebook Ads
- Shopify
FAQ
Can I try Treasure Data before buying?
- Yes, the company offers two-week proof of concept (POC) periods using your own data and 60-day access to select capabilities following an AI Workshop.
How is Treasure Data priced?
- It uses a usage-based model for the Intelligent CDP (based on profiles and behaviors) and fixed annual licenses for its AI Marketing Suites.
How long does it typically take to implement?
- A typical implementation can take between 8 to 12 weeks, depending on the specific use cases and requirements.
Source category: Marketing
Source subcategory: Marketing Automation
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