NinjaCat Named a "One to Watch" in Snowflake's 2026 Modern Marketing Data Stack Report

We're proud to share that NinjaCat has been named a "One to Watch" in Snowflake's 2026 Modern Marketing Data Stack Report, recognized in the Analytics & Measurement category. The announcement was made at Cannes Lions 2026 — fitting timing for a report that reflects how quickly the marketing industry is moving from fragmented tools and passive dashboards toward AI-driven, agentic systems built on governed data foundations.

Now in its fifth year, the Modern Marketing Data Stack Report draws on insights from more than 11,500 Snowflake customers and ecosystem partners across 13 categories. Being named "One to Watch" in this year's edition is a signal we don't take lightly — and it's one we think our customers will recognize as a reflection of what they're already experiencing firsthand.

Built on a Foundation That's Been There From the Start

NinjaCat's relationship with Snowflake isn't new. We built our agent platform natively on Snowflake's AI Data Cloud from the ground up — and that architectural decision has shaped everything about how our customers work with their data today.

Because NinjaCat runs on Snowflake, our customers can live-connect to data they already own, bring their own data warehouse, and deploy AI agents for marketing on infrastructure they trust and control. There's no proprietary lock-in. No data duplication. No black box.

As our CEO Paul Deraval put it:

"NinjaCat is built on Snowflake, which means our customers never get locked in. They can live-connect to their data, bring their own warehouse, and deploy AI agents on a foundation they already trust and control. We're at an inflection point where the combination of governed data infrastructure and purpose-built agentic AI is unlocking outcomes that simply weren't possible with traditional marketing tools — and the momentum we're seeing with enterprise customers tells us we're just getting started."

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Snowflake CMO Denise Persson echoed the sentiment:

"NinjaCat is bringing a genuinely differentiated approach to agentic marketing intelligence, combining Snowflake's governed data foundation with purpose-built AI agents that can act autonomously across the full marketing lifecycle. What makes them One to Watch is not just the innovation in their platform architecture, but the speed at which enterprise marketing teams are putting it to work and seeing results."

What "Agentic Marketing Intelligence" Actually Looks Like

Recognition is meaningful — but outcomes are the real story.

Global agency VML is one of the clearest examples of what becomes possible when NinjaCat's agent platform is deployed at enterprise scale. Their teams built a portfolio of purpose-built AI agents using our no-code Agent Builder — each one designed to solve a specific marketing challenge their analysts couldn't realistically tackle manually.

Two agents tell the story well:

Meta Creative Carol monitors Meta campaign performance daily across hundreds of creative placements, surfacing top and bottom performers and identifying early signs of creative fatigue — automatically, without manual analysis. The result: a 30% increase in consumer engagement.

Commerce Funnel Felicity monitors the full e-commerce journey weekly across 20 million sessions, connecting behavioral signals with customer feedback to detect anomalies and benchmark funnel health before problems escalate. The result: analysis time reduced by 90% and a 53% increase in site conversion rate.

As Erick McNett, Managing Director of Marketing Effectiveness & Analytics at VML, put it:

"AI agents help us automate the mundane, sharpen our thinking, and dramatically accelerate our time to insight."

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This is the direction the market is heading — and it's what NinjaCat and Snowflake have been building toward.

What This Means Going Forward

The 2026 Modern Marketing Data Stack Report reflects a broader shift that we've been watching and preparing for: marketing organizations are moving away from siloed tools and toward integrated, AI-native platforms built on trusted data infrastructure.

NinjaCat's model-agnostic architecture means our customers can always deploy the best model for each task without being locked into any single AI provider. Paired with enterprise-grade security, and Snowflake's data flexibility, governance, and scalability, we give enterprise marketing teams a platform that's ready for today's challenges and the ones they'll face tomorrow.

We're grateful to Snowflake for this recognition, and even more grateful to the customers who've made it meaningful. There's a lot more to come.

Want to see what NinjaCat's AI agents can do for your team? Book a Demo.

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