Simon Data evolves marketing with Composable AI Agents built on Snowflake Cortex AI
Marketers have long struggled to turn data into fast, contextual personalization. Simon Data solves that challenge, helping teams understand their customers and deliver personalized experiences across every channel.
Now, with our newest innovation, Simon AI, marketers can use composable agents to run campaigns that are faster, smarter, and more effective than ever. Built on Snowflake Cortex AI, Simon AI introduces a new model where agents run directly inside the governed data layer, giving brands real-time access to signals without moving data or compromising compliance.
The results speak for themselves: Simon AI customers are building contextually relevant audiences 90% faster, surfacing 100+ new high-value customer cohorts, and launching cross-channel campaigns with greater speed and precision.
By running directly in the Snowflake AI Data Cloud and leveraging Anthropic’s Claude, Simon AI eliminates bottlenecks and guesswork. Marketers can now move from static segmentation to goal-based, adaptive workflows that surface insights instantly and deliver higher-impact results.
From static segments to goal-based workflows
Legacy tools leave marketers stuck with batch processes, siloed data, and rigid workflows. Dependence on data and engineering teams often adds delays, leaving marketers stuck with static segments and campaigns that miss the moment.
Simon Data recognized that the answer wasn’t just more pipelines, but a new model where marketing, data, and AI operate together within the same governed cloud environment.
"Marketers have been told for years that personalization was solved, but the reality has been static segments, brittle workflows and missed customer moments. Simon has changed that by bringing reasoning, context and execution directly into the Snowflake data layer for marketing to use.”
- Matt Walker, Co-Founder and CTO, Simon Data
Simon AI replaces this with agentic marketing: a model where teams start with business goals (e.g., retention, upsell, engagement) rather than pre-defined segments.
Simon AI Blueprints translate those goals into adaptive workflows that determine how data is used, which signals to prioritize, and what activation logic to apply. Blueprints assemble the right mix of agents, adjust in real time, and can be reused across campaigns, helping teams plug in new data or scale without rework.
Each composable AI agent performs a defined task, such as surfacing intent, analyzing sentiment, generating predictive scores, or triggering contextual campaigns. Working together, they transform raw signals into precise audiences and dynamic activations. The result: faster launches, sharper targeting, and better performance for Simon customers.
The three pillars of AI success: security, scale and real-time access to data
To make composable AI agents a reality, Simon needed an infrastructure that could guarantee three essentials: enterprise-grade governance, massive scalability, and instant access to live data. After evaluating alternatives, Snowflake’s AI Data Cloud emerged as the only platform capable of meeting these requirements — providing the backbone for Simon AI.
Unlike legacy setups that depend on external services or slow batch pipelines, Simon’s agents operate directly within Snowflake’s AI Data Cloud. This design removes the need for data transfers or connectors, while ensuring every workflow automatically applies Snowflake’s governance policies — from access controls to lineage and auditing. For Simon customers, that means personalization can scale securely, without compliance tradeoffs. And with Snowflake’s Marketplace and data sharing features, Simon can enrich first-party data with external context like weather, location, or market signals — all without leaving the governed environment.
“By giving marketers governed access to data and AI-powered workflows through Simon AI on Snowflake, we’re removing long-standing execution bottlenecks and accelerating time to value.”
- Jason Davis, Co-Founder & CEO, Simon Data
Simon’s platform already supports billions of events and millions of profiles spanning behavioral, transactional, and contextual data. With Cortex AI, agents apply large language model logic at the row level, in parallel, across massive data volumes. The result: faster execution, lower overhead, and support for high-throughput use cases such as real-time segmentation.
And because personalization only matters if it’s timely, Simon’s agents act directly on live data streams — enabling moment-aware activations such as reacting to support conversations, adjusting campaigns mid-session, or delivering location-specific offers instantly.
For engineers, Cortex AI also streamlines the development stack. Agents can be written in SQL or Python, deployed with Snowpark Container Services, and managed with standard CI/CD practices without custom infrastructure. Using Dynamic Tables and Snowpark, pipelines stay real time by default, ensuring agents always work with the freshest signals. Developers can launch new agents faster while retaining full control over deployment and scale.
Moment-based marketing that resonates
With Simon AI, brands can finally act on customer context in real time, turning insights into campaigns that adapt instantly. What once required weeks of manual processing, like running a sentiment analysis workflow through external systems, now happens in place. An agent can scan support transcripts, flag mentions of “school stress,” generate a related attribute, and trigger a campaign with convenience-focused messaging — all within the governed environment.
Another brand uses Simon AI agents to track weather changes and launch tailored promotions within hours. Customers in colder regions receive dynamic offers for winter essentials, while warmer areas see entirely different content.
In retail, agents can detect signals like cart abandonment or product shortages and automatically adjust promotions or recommendations. For travel and hospitality, Simon AI can spot a surge in search activity for specific destinations and trigger timely campaigns with region-specific offers.
These types of activations, once aspirational, are now routine with the Simon + Snowflake Cortex AI architecture. Agents continuously adapt to behavior and external signals, ensuring every interaction is timely and relevant. Instead of waiting weeks to refresh static segments, marketers can pivot strategies in minutes, responding to customer needs and market changes as they happen.
Early adopters are already seeing the payoff: contextually relevant audiences built 90% faster and hundreds of new high-value cohorts identified, translating into more personalized engagement and measurable revenue gains.
What’s next for AI-native marketing
Simon’s vision goes beyond today’s use cases. The team is expanding the Simon AI ecosystem with features that make agents more accessible, shareable, and measurable. Visual authoring tools will let non-technical users design workflows with ease, internal marketplaces will allow departments to share and reuse proven agents, and benchmarking tools will help track ROI across campaigns.
The bigger goal is to help every brand become adaptive, personalizing not only with customer data, but also with contextual signals like market trends, environmental factors, and real-time behavior. Simon sees a future where building and refining intelligent workflows is as natural as drafting an email, empowering marketers to respond instantly to change.
At Simon Data, our mission is to make adaptive, AI-driven marketing accessible to every brand. With Snowflake Cortex AI as our trusted foundation, we’re building the future of AI-native marketing — secure, scalable, and always in the moment.
