Simon Data, a customer data platform built for marketing teams, has launched a new set of AI-powered tools called Composable AI Agents. These agents give marketers direct access to analyze, act on, and launch data-driven campaigns without waiting for support from engineering or analytics. Built natively on Snowflake Cortex AI and powered by Claude from Anthropic, the system aims to cut out bottlenecks and put campaign logic in marketers’ hands.
Why This Matters Now
Marketing teams are under more pressure than ever. Expectations are high, and turnaround times are short. But even with expensive martech stacks and large analytics teams, many marketers still can’t answer basic questions about customer behavior—or act on those answers quickly enough to matter.
That’s the hole Simon is filling. Its Composable AI Agents surface overlooked behavioral patterns, pull context from real-world events, and turn those signals into campaigns that go out the door the same day. There’s no delay, no handoffs, and no need for code.
What Are Composable AI Agents?
At the core, these are software agents—each one focused on a specific marketing task. Think of them as specialists on a virtual team that’s always on call.
Insights Agents analyze full customer histories to pinpoint which triggers matter. They can, for example, find that customers with back-to-school stress are more likely to respond to convenience-based offers.
Data Agents translate messy inputs into clear, usable traits like “weather sensitivity” or “parental purchase influence.” These are richer than demographic fields and more predictive.
Automation Agents use that context to launch dozens or even hundreds of micro-campaigns—each one designed around specific user behavior.
The entire system runs inside Snowflake, which means everything happens in one place: no exports, no third-party data hops, and no surprise gaps in governance.
Built to Work Where the Data Lives
One of the technical advantages here is that Simon’s agents operate directly inside the Snowflake environment. This matters for two reasons: it keeps customer data secure, and it eliminates the lag that comes from copying data between systems.
With the agents living inside Snowflake, data teams still hold the keys. Marketers can explore, model, and activate insights, but everything stays under the existing controls and permissions already in place. It’s the difference between walking into your own house versus borrowing someone else’s keys.
New Workflow, Same Goals
In traditional marketing workflows, campaigns often start with a segment—say, “women aged 25-34 in urban areas.” With Simon, things begin with an objective. Retain churn-risk users. Boost upsell rates. Drive purchases in a lagging geography.
From there, the AI Blueprints figure out which signals to use, which agents to apply, and what activation logic to run. All the parts work together to surface, model, and act—without waiting on a ticket or writing SQL.
Once the system finishes its work, the output connects to platforms like Braze, Attentive, or Iterable. The result is a campaign that goes out on time, to the right people, based on behavior that matters—like emotional cues in support tickets or competitor mentions.
Early Results Say It Works
Companies using Simon’s Composable AI Agents are seeing serious improvements:
- Campaign prep times cut by 90%
- Conversion rates up by a factor of 6
- More than 100 new high-value customer groups discovered
That’s not just faster—it’s smarter. And for teams that spent months manually prepping audience lists, it’s a full-scale process shift.
What It All Means
Marketing tech has long promised personalization, but most platforms still rely on outdated segments and slow workflows. Simon Data’s Composable AI Agents replace that with something better: a dynamic system where marketers can actually work with their data—and act on it in real time.
The pitch is simple. Less waiting. More doing. And campaigns that actually connect.
To learn more about Simon AI, visit simondata.com/ai.
