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Canva Unifies the Magic of Data and AI-Driven Design
With Snowflake, Canva now has a unified approach to data, helping reduce costs, fuel AI innovation, support future growth and deliver better design experiences.
The AI Data Cloud for Marketing connects martech and adtech stacks to a single, governed source of customer data. Build unified customer profiles, activate audiences across channels, prove campaign ROI, and deploy AI agents that segment, personalize, and optimize autonomously — with the security and ecosystem interoperability to support the entire marketing and advertising data lifecycle.
Overview
The AI Data Cloud for Marketing connects all your tools, channels, models and agents to a single, unified data and AI foundation — eliminating silos, reducing risk, and enabling every team to operate from a trusted, real-time view of the customer.
Bring customer, behavioral, and campaign data together in one secure, governed platform. Connect every tool,application and agents to live data rather than creating copies — ensuring consistency, compliance, and a complete view of every customer across your organization.
Unify advertising and marketing data to measure true campaign ROI across every channel and touchpoint. Run advanced attribution, marketing mix models, and incrementality analysis natively — so every team can demonstrate the business value of their programs.
Deploy predictive, generative, and agentic AI across your marketing stack with confidence. Snowflake Cortex AI enables propensity modeling, personalization, and autonomous campaign decisioning — all grounded in governed, fresh, AI-ready customer data.
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Snowflake supports critical security and compliance standards for the financial services industry, globally.






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SNOWFLAKE FOR marketing
Commonly asked questions and their answers to support your data and AI journey with Snowflake.
The AI Data Cloud for Marketing is Snowflake’s platform for building a secure, governed marketing data foundation. Instead of copying customer data into dozens of siloed tools, it connects your entire martech and adtech stack to a single source of truth—enabling unified analytics, AI-powered personalization, and privacy-compliant data collaboration.
Snowflake unifies advertising log-level data, CRM signals, and conversion events in one governed platform. Marketing teams can run marketing mix models, multi-touch attribution, and incrementality testing natively using built-in AI and ML capabilities—replacing guesswork with data-driven answers to "what's really working?"
A composable CDP is a modular architecture where customer data platform capabilities — identity resolution, audience segmentation, and activation — run directly on an existing cloud data platform rather than copying data into a separate vendor system. Snowflake serves as the governed data foundation for composable CDP architectures. Customer data stays in one place as the single source of truth, and best-of-breed tools for segmentation, activation, and reverse ETL connect directly to live, first-party data. Teams get fresher data, stronger governance, and the flexibility to swap or add components without vendor lock-in.
Snowflake provides centralized governance, role-based access controls, dynamic data masking, and row-level security policies. Data Clean Rooms enable privacy-preserving collaboration with partners and publishers without moving or exposing raw data. Your sensitive customer data stays in one secure place rather than being copied across dozens of tools.
Yes. Snowflake Cortex AI provides built-in ML functions, LLM-powered analytics, and the ability to train and deploy custom models—all on your governed customer data. Marketing teams use these capabilities for propensity scoring, churn prediction, sentiment analysis, content generation, and autonomous campaign decisioning.
Snowflake connects to hundreds of marketing and advertising platforms through its partner ecosystem. Tools like Braze, The Trade Desk, LiveRamp, Hightouch, and many others integrate directly with Snowflake, so your existing stack works with your data foundation rather than creating additional silos.