Customer, campaign and business data doesn’t have to be scattered across every tool in your stack. Snowflake gives marketing, martech and AI teams one governed place to unify it all. Deliver personalized experiences. Measure what's actually working. Put AI to work on data you can trust.
Marketing leaders at the world's top organizations trust Snowflake
Overview
Adding AI to a disconnected stack can create more versions of customer information. Teams and AI agents work from different answers, so more activity doesn’t always mean more impact.
Unify customer records with the business context that gives them meaning in Snowflake. Teams and AI agents work from one consistent foundation to win new customers, enable personalization and grow existing relationships.
When campaigns depend on people moving data between tools, more work means more handoffs. Marketing ops stays busy keeping things running instead of improving results.
Automate the recurring analysis that gets manually rebuilt each week. Free marketers to improve campaigns, and marketing ops to innovate how work gets done.
When teams can’t tell which data AI can use or which actions need approval, each new use case brings more uncertainty. Promising ideas may stall before they reach customers.
Set permissions for what agents can access and do. Specify who has to sign off before a system changes spend or publishes content.
Benefits
When people and AI agents share definitions on the same governed platform, they can spot insights, like customers at risk of churn, with confidence. Agents then recommend retention action, next best action and campaign ideas for your team to review and approve.
Easy
Explore performance and develop campaign plans through conversation with Snowflake CoWork. Technical teams use Snowflake CoCo to build marketing apps and workflows, freeing time for higher-value work.
Connected
Bring customer data and business context together in Snowflake once. Connected apps and agents work from that foundation, and teams can choose AI models from different providers.
Trusted
Give AI governed access to customer data and approved brand guidance in Snowflake. Decide where people review messages before they reach customers, so speed doesn’t cost brand trust.
Workflows
Give martech and marketing ops a reusable customer 360 foundation for connected tools and AI workflows.
Understand brand perception by connecting feedback with market research. Use that evidence to sharpen messaging and guide content grounded in approved brand guidance.
Find promising prospects using what you know about your best customers. Put those audiences to work in paid campaigns and keep exclusions current to reduce wasted spend.
Use purchase history, product usage and service interactions to make offers more relevant and spot early signs of churn. Help lifecycle teams act while there’s still time.
Connect campaign spending to business results. Give marketing and finance a shared basis for assessing performance and deciding where to invest next.
Use AI to reduce repetitive work and apply past learnings. Give teams more time for creative work and help marketing ops shorten the path from brief to launch.
Measure campaign results with publishers and ad networks in Snowflake Data Clean Rooms, even when neither side shares raw customer records.
Connect approved product information with customer knowledge so teams can keep brand content accurate and consistent. Prepare that knowledge for use in AI-assisted buying experiences.
VIDEO
Digital marketers used to spend hours formatting data just so the team could talk about it. Now a weekly HTML report in CoCo flags what needs attention across channels and regions in minutes, and a forecast that used to take nearly a full week turns around in a fraction of the time.
DIFFERENTIATORS
THE PERSONAL MARKETING AI AGENT
MARKETING PERFORMANCE
Understand buyer behavior using first-party data in Snowflake. Connect those insights to campaign results, and use Snowflake Data Clean Rooms to measure campaigns with partners — even when they choose not to share raw records.
PERSONALIZED MARKETING
Bring purchase, engagement and service data together in Snowflake to tailor content and offers to each customer. Activate those audiences across channels, with consent and access rules applied.
Get Started
Snowflake for Marketing
Snowflake for Marketing brings customer, campaign, advertising and revenue data together for marketing, martech and data teams. It provides a shared data foundation for understanding customers, measuring performance, personalizing experiences and building AI workflows.
Snowflake brings advertising spend, campaign activity, customer records and conversion data together for marketing analytics. Teams can use attribution, media mix modeling and incrementality analysis to evaluate results, connect marketing activity to revenue and guide budget decisions.
Snowflake works with martech and adtech partners for customer engagement, analytics and data activation. Teams can connect a supported customer data platform (CDP) to Snowflake or build a composable CDP, combining tools for functions such as identity resolution and audience activation around shared customer data.
Snowflake brings customer, behavioral, transactional and campaign data together to help teams build a unified customer view. Teams can enrich profiles and use identity-resolution applications from providers on Snowflake to connect records, then use that customer context for segmentation and personalization.
Snowflake Data Clean Rooms let marketers collaborate with publishers and partners on customer data in a controlled environment. Teams can analyze audience overlap, plan campaigns and measure results while setting controls on permitted analyses and data access.
Snowflake provides access controls, data masking and row-level policies to help teams manage which customer data AI can use. Snowflake CoWork applies existing data permissions to agent interactions, so marketers can explore business information within the access their organization has granted.
Marketers can ask Snowflake CoWork questions in plain language to explore customer data and campaign performance. They can investigate results, ask follow-up questions and turn findings into reports and briefs to guide their next decision.
