Unlocking Contextual Personalization at Scale with Simon AI

I founded Simon ten years ago to help brands better engage with their customers.

Here’s my little secret: I’m actually a terrible customer.

I have no airline loyalty. Sure, I collect points, but I’ll always choose the fastest or cheapest option. Except for shoes, baseball caps, and Simon AI gear, I don’t wear logos. And I clean my inbox like a hawk. I skip most emails, unsubscribe fast, and report spam if I don’t recognize the sender.

Customers like me are hard to reach

At our AI Summit earlier this year, I spoke with a customer whose repurchase rate was below 25%. His team followed the standard playbook: post-purchase sequences, cross-sells, seasonal offers, and loyalty programs. What happens? High drop-off. Whenever they push harder to hit quarterly numbers, unsubscribes spike. 

As he was talking, I realized two things. 

First, most customers behave like me. They’re distracted, inconsistent, and quick to disengage.

Second, Simon AI is built for precisely this problem.

The reality for modern marketers

Maybe I’m not so terrible after all. I do spend money. I do engage. Just on my terms.

This summer, I bought six tickets on SeatGeek to see the Commanders in DC. A week later, I needed a parking pass. Then my wife reminded me our six-year-old had outgrown his Commanders shirt.

When the weather turned hot, I ordered three swimsuits from Marine Layer. Before heading to Europe with the kids, I picked up a pair of Nike AF1s. Comfortable enough for long walks, but sharp enough for dinner.

The truth is, I’m just hard to reach. Between two kids, two dogs, and running an AI company, it takes a lot for a brand to get my attention.

That’s the reality facing every marketer. And until now, the kind of contextual personalization needed to move someone at their moment of interest has been out of reach.

Marketers are forced into painful trade-offs. As you launch more campaigns, performance drops. As you personalize, volume drops.

Over and over, I hear these challenges from marketing leaders at brands. 

• Data access.  Despite the proliferation of modern cloud data, marketers today still cannot access the data they need or receive it in time to move a customer to act. 
• Execution bottlenecks. Campaigns take too long to launch, leaving teams dependent on blunt, generic tactics. There’s no effect of acting on a customer moment six to eight weeks after it happens. 
• The context gap. First-party data only tells part of the story. The sharpest arrow in the quiver is context: signals from weather, inventory, social trends, events, and thousands of other signals that affect what a customer needs, how they decide, and what you can offer them. This isn’t even customer data, it’s that plus business data and real-world signals. 
• AI acceleration. The pace of change is only increasing. Most teams are still experimenting with surface-level AI apps for copy or analytics. They need help applying AI to solve complex problems.

These aren’t edge cases. They’re the reasons marketers can’t break through today to what they aspire to be, what they know will work. Just listen to Charles at Redbuddle. He gets it.

Think of it this way. Knowing I prefer solid-colored t-shirts is an insights question. But answering it takes coordination with data teams. Knowing I restock when summer hits requires context about weather, season, and past shopping behavior. Usually, that’s where marketing imagination hits the reality of data complexity and dependencies. 

This is where Simon AI comes in.

The Simon AI™ Agentic Marketing Platform

Today, I’m excited to introduce the new Simon AI.

The Simon AI brings together an AI-first composable CDP, composable Simon AI Agents, and the marketer-friendly Simon AI Personalization Studio. It creates a new workflow where marketers set goals, agents turn live customer and contextual data into attributes and triggers, and automated campaign execution that scales and adapts with continuously fresh data.

Simon AI combines these three core components into one unified system:

Simon AI Composable CDP

The AI-first CDP runs natively in your cloud data warehouse. 

• Access to 100x more customer and contextual data than traditional CDPs.
• Zero ETL with the Snowflake AI Data Cloud — live data flows directly from the data cloud into campaigns.
• Identity resolution, audience matching, and predictive insights built in.

Simon AI Agents

Composable AI Agents act as your data and execution team.

• Signal detection. Spot churn risk, sudden demand spikes, social trends, weather, inventory shifts, and so much more.
• Data prep. Messy signals become ready for campaigns with Data Agents that do the heavy lifting, removing typical dependencies on data teams. 
• Enrichment. Write new fields and segments back into the data cloud for enterprise use.
• Orchestration. Automate workflows across Braze, Attentive, Iterable, and more.

Agents take on the heavy lifting so your team can focus on strategy, creative, and customers.

Simon AI Personalization Studio

A marketer-friendly workspace that starts with goals, not static segments.

• Blueprints. Translate goals like “increase repeat purchases” into adaptive strategies.
• AI Fields and AI Moments. Agents find the signals and patterns for you, then convert live data into marketing-ready attributes and triggers.
• Adaptive execution. Based on guidance from your Blueprints, campaigns evolve automatically as signals change.

The Personalization Studio feels simple as you prompt your agents to guide you through setting up your campaign. But underneath, the agents and the CDP are doing very hard work so that you can focus on your goal and the performance of your campaign.

Together, these capabilities create a new model for how marketing gets done: Agentic Marketing. The result is higher converting campaigns, faster launches, better customer experiences, and measurable revenue growth. With Simon AI, even small marketing teams perform like large ones while staying focused on strategy and creativity.

Your data, your cloud, your rules

We know some teams are excited about AI but cautious about where their data goes. Simon AI runs directly in the Snowflake AI Data Cloud, and there are deployment options to many other cloud data warehouses. The architecture ensures data is always governed by the same standards your enterprise already uses.

That’s what makes personalization scalable, measurable, and secure.

Why now: our transformation to AI-first

AI is changing marketing forever. The tools of the past can’t keep up with the pace of change, the volume of data, or the expectations of consumers. To compete, marketers need to act on 100x more signals, make 100x the decisions, and execute micro-campaigns at scale.

Going forward, brand differentiation and campaign performance will rely on personalization at scale, and the only way to get there is with AI. 

That’s why we’ve transformed Simon into an AI-first company. Our platform is now Simon AI. And our new home is Simon.ai.

This isn’t a rebrand for the sake of a new look. It reflects the work we’ve done over the past 18 months to solve the most complex problems marketers face.

Join us on this journey

If you’re struggling with any of these issues, we’d love to talk:

• Customers disengaging after the first purchase
• Campaigns that take weeks instead of hours to launch
• You design campaigns based on assumptions, not new insights
• Know AI can help, but not sure where to start

Visit Simon.ai to explore the platform. Let us know you want to talk about how we can help solve your challenges. Or connect with our team directly at Shoptalk this week to see how Agentic Marketing can work for you.

The future of marketing belongs to brands that adapt in the moment. That’s what Simon AI is built for.

Simon AI will change how our customers engage with consumers and how their campaigns perform.

I’m excited for what comes next. See you soon.