Simon AI Launches Agentic Marketing Platform to End the Scale vs. Personalization Trade-Off

Simon AI Launches Agentic Marketing Platform for Contextual Personalization

Simon AI, formerly Simon Data, has launched the Simon AI Agentic Marketing Platform to help marketing teams move from ideas to live, adaptive campaigns without the usual trade-offs. Marketers set goals in plain language, then agents turn live customer and contextual data into micro-campaigns that improve conversion, increase lifetime value, and drive measurable growth.

What once took weeks now happens continuously. Agents surface signals, prep data, and automate activation across channels so your team can act on customer moments at scale and speed.

Why this matters for marketers

• Data access: Signals arrive too late or live in tools marketers can't reach.
• Execution bottlenecks: Launch cycles take weeks, so "real-time" stays theoretical.
• Missing context: First-party data ignores weather, inventory, and social trends that shape decisions.
• AI underused: Teams use AI for copy or predictions, but not for the hard work of insight and execution.

These constraints block true personalization. Simon AI addresses each one with agents, a goal-based workflow, and a composable CDP that runs on your live data.

What's inside the Simon AI Platform

Personalization Studio: A workspace that starts with goals, not static segments. Marketers define outcomes in plain language, connect data, and launch adaptive campaigns that respond to live signals.

• Blueprints: Reusable playbooks that translate goals into strategies and execution plans, enabling thousands of micro-campaigns.
• AI Fields: New attributes about customers or products (e.g., "Cold-weather readiness score," "Price sensitivity").
• AI Moments: Real-world triggers (weather swings, social trends, inventory changes) that signal when to act.
• Cross-channel automation: Execute across email, SMS, push, and paid media while staying aligned to outcomes.

Simon AI Agents: Your data and execution team inside the platform. Agents detect signals, transform messy data into campaign-ready attributes, and orchestrate activation.

• Spot churn risk, demand spikes, inventory shifts, weather events, and social patterns.
• Prep and enrich data for targeting and measurement.
• Orchestrate workflows across tools like Braze, Attentive, and Iterable.

Composable CDP (AI-first): The data foundation and semantic layer that runs in your cloud. It makes customer and contextual data actionable with governance and control.

• Activate all customer, business, and contextual signals on live data with zero ETL.
• Write back new fields, segments, and results to the data cloud for enterprise use.
• Maintain enterprise-grade access controls inside the warehouse.

Want context on data clouds? See how modern data clouds work at Snowflake.

The new model: Agentic Marketing

AI is reshaping how brands engage. To compete, marketers need to act on 100x more signals, make 100x more decisions, and run thousands of micro-campaigns.

• AI-powered execution: Agents handle insights, data prep, and orchestration so campaigns adapt quickly to live signals without extra headcount.
• Contextual personalization: Connect profiles and behavior to real-world inputs like inventory, weather, and trends to act on what matters now.
• Goal-based workflows: Start with outcomes. Agents translate goals into campaigns that launch faster and continuously improve.

What customers are seeing

• Faster execution of contextually relevant campaigns.
• Higher conversion from more precise signals and adaptive personalization.
• Material revenue growth by running more campaigns in market, more often.

Practical use cases to run now

• Retail apparel: Use weather changes and local inventory to trigger jacket or rainwear promotions; shift creative when inventory drops.
• Ticketing: Combine demand spikes and seat availability to prioritize segments and offers for time-sensitive events.
• Subscription: Detect churn risk from engagement decay; trigger save offers and nurture flows across email, SMS, and push.
• CPG/eCommerce: Respond to social trend surges with timely bundles; adjust bids and budgets when AI Moments fire.

Quick start checklist

• Pick 1-2 goals: new buyer conversion, churn reduction, or AOV lift.
• Define 3-5 AI Fields: price sensitivity, category affinity, reorder likelihood.
• Map 2-3 AI Moments: weather swing, inventory threshold, social spike.
• Activate across 2-3 priority channels first: email, SMS, push, or paid media.
• Set up measurement: holdouts, incrementality, and outcome dashboards.

Rebrand and availability

Alongside the launch, the company has rebranded from Simon Data to Simon AI, signaling its focus on agentic AI that connects data to execution. The platform runs natively in your data cloud and integrates with the tools you already use.

Learn more

See the platform and request a walkthrough at simon.ai. For inquiries: marketing@simondata.com.

If you're upskilling your team for AI-driven marketing, explore the AI Certification for Marketing Specialists.

About Simon AI

Simon AI gives marketing teams an AI-first, composable CDP with embedded agents. Marketers start with a goal, while agents analyze signals, create attributes, identify triggers, and orchestrate campaigns that adapt continuously.

By unlocking hidden signals, activating 100x more customer and contextual data, and automating execution across engagement channels, even small teams can move with speed and precision. Brands like ASOS and SeatGeek use Simon to turn complex data into faster launches, personalized experiences at scale, and revenue-driving performance.