Data Agent

The Data Agent is an AI-powered tool for discovering insights within your customer and product data without writing SQL or involving your data team. It operates directly within your existing data warehouse — no data movement required — and transforms unstructured data into AI Fields: structured signals you can use for segmentation, personalization, and campaign optimization.

Getting started

Navigate to AI > Data Agent to open the chat interface. Describe what you want to explore or build, and the Data Agent queries your data and surfaces the answer directly in the chat.

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No SQL required

Describe what you want in plain language. The Data Agent writes the queries, analyzes results, and presents answers in the chat.

Example prompts

  • "What are the top product categories purchased by customers in the last 30 days?"
  • "Create an AI Field that scores customers on cold-weather readiness"
  • "Show me the purchase frequency distribution for loyalty members"
  • "What percentage of my contacts have made a purchase in the last 90 days?"

What you can do

CapabilityDescription
Discover AI FieldsDescribe a field in natural language and the Data Agent searches your warehouse, builds the logic, and creates it. Learn more about AI Fields
Explore purchase behaviorAsk about purchase patterns, order frequency, category preferences, and spending trends across your customer base
Analyze contact profilesQuery profile attribute distributions — ask questions like "What percentage of my contacts have an email address?" or "Show me the distribution of loyalty tiers"
Build inference modelsCreate AI Fields powered by inference models that predict customer behavior (e.g., likelihood to purchase, churn risk)

Data domains

The Data Agent works across multiple data domains:

DomainDescriptionExample fields
Product catalog enrichmentInfers themes, tags, and affinities from product dataStyle_Aesthetic, Product_Theme_Tag
WeatherGenerates fields from current and forecasted conditionsCold_Weather_Readiness, UV_Index_Surge
Behavioral analysisAnalyzes purchase patterns, engagement, and frequencyPurchase_Frequency_Score, Category_Affinity
Contact profilesQueries profile attribute distributions and completenessEmail_Coverage, Loyalty_Tier_Distribution

How AI Fields are created

  1. Describe the field you want in natural language
  2. The Data Agent searches and analyzes your warehouse tables
  3. It outlines the proposed AI Field — including logic, inputs, and sample values
  4. Review and approve the field
  5. View statistics and distribution charts on the AI Field detail page
  6. Use the field in segments, personalization, and campaigns

Working inside a Project

When you open the Data Agent from within a Project, it automatically understands your campaign objective and uses it as context for data exploration and field creation. Your organization's AI Context is also applied automatically.

Availability

The Data Agent is available to select organizations. Contact your account manager for activation details.