Embedded in Treasure Data CDP, this agent analyzes cross-channel behavior to uncover valuable segments and build intelligent audiences in real time.

Built for CDP migrations. Pulls queries, segments, and transformation logic from a company’s incumbent CDP, then auto-generates SQL, pipelines and orchestration in Treasure Data.

Performs data QA of any table and database in a Treasure Data account. Offers insights on data quality and useful statistics on major data-types to give a high-level understanding of the data and pointing to specific data issues with options and avenues to fix the bad data.

Conducts deep research on hypotheses that include a combination of your customer data, industry and competitive data. Delivers deep insights into effective campaigns and ways to improve customer experiences.

Provides insights, analysis, and recommendations on the overall quality and validity of the ID Unification process.  It also provides input on how to resolve over-merging and improve IDU process further including known vs. unknown profile stats, de-dupe rate trend, and over-merging analysis.

Analyzes channel performance across multiple attribution models to determine optimal budget allocation and channel strategy.

Designed to significantly reduce the time marketers spend pulling reports and generating insights from various platforms. By simply asking questions, marketers can quickly access performance data and optimization recommendations, allowing them to focus more on strategy and execution.

Helps admins manage complex permission structures effortlessly. Simplifies user audits, permissions management, and user deletion with contextual insights and step-by-step recommendations.

Uses marketing goals, available creative, and desired messaging, then autonomously determines the optimal next step, choosing the right channel, content, and timing for each user.