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The Data Agent is currently in Beta. Contact your account manager to learn more about joining the Beta.

Overview

Simon Data’s Data Agent is your AI-powered partner for unlocking hidden insights within your customer and product data — without needing custom SQL or long waits on your data team.

Operating within your existing data warehouse (no data movement required), the Data Agent transforms messy, unstructured, and underutilized data into Simon AI Fields — structured, actionable signals ready to use for segmentation, personalization, and performance optimization.

With the Data Agent, marketers can:

Discover new fields using natural language prompts
Enrich existing datasets without relying on manual tagging or engineering requests
Activate campaigns based on real-time behavior and context

Whether you’re launching a campaign tied to a trending event or personalizing product recommendations based on nuanced style signals, the Data Agent accelerates insight-to-action — in hours, not weeks.

Why is this important?

Marketing teams are often drowning in data but starved for insight. Despite having rich behavioral logs, product catalogs, and support transcripts, they lack the tools to rapidly surface patterns and create fields aligned with marketing needs.

The Data Agent solves this by:

Eliminating manual data prep through LLM-powered signal extraction
Inferring missing metadata from unstructured sources (e.g. descriptions, specs, images)
Generating explainable outputs within your governed Snowflake environment
Speeding up time to launch, enabling campaigns that capitalize on live trends

Example AI Fields:

Gift_Intent_Score
SciFi_Product_Theme
Cold_Weather_Readiness
Travel_Readiness_Score

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Each field includes metadata, sample values, and lineage — ensuring transparency and trust.

Data Domains

The Data Agent currently supports two high-impact data domains, with more on the way.

Data Domain	Description	Example AI Fields
Product Catalog Enrichment	Automatically infers themes, tags, and affinities from product-level data	`Style_Aesthetic`, `Product_Theme_Tag`
Weather	Generates fields using current and forecasted conditions	`Cold_Weather_Readiness`, `UV_Index_Surge`

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More data domains coming soon:

Social & Cultural Trends (meme relevance, trend responder score, cultural moment affinities)

Local & National Events (local festival attendees, regional school calendar events, news headline responder)

Geo-Based Analysis (proximities, geographic trends, home attributes (e.g. has backyard))

Session Analysis (category affinity, session intent, web browsing persona (e.g. discount diver, cross-category wanderer, etc.))

Psychographic Analysis (impulsivity, channel preferences, demographic inferences)

Support & Feedback (NPS themes, issue clustering)

Etc. (depending on beta customer feedback!)

Outputs

The primary output of the Data Agent is a Simon AI Field — a structured attribute that can be used in any part of the Simon platform. Each AI Field includes:

Human-readable field name
Explanation of logic and inputs
SQL query sent to LLM
Sample values and statistics

How It Works

The Data Agent is part of Simon.AI’s Composable Agents framework — intelligent agents designed to reason across customer behavior, product data, and real-world context. It works autonomously or in tandem with Blueprints to activate campaigns.

Using natural language, describe the type of field you want to create (e.g. “sci-fi products”).

The Data Agent searches for & analyzes relevant tables in your cloud data warehouse.

The Data Agent outlines a Simon AI Field to reflect that signal. Inspect the field via the AI Field Artifact.

Approve the creation of the AI Field and wait for it to generate.

See additional stats on the AI Field details page.

Use the field in Simon’s segment building and/or content personalization tools.