How marketing leaders can turn Snowflake from enterprise infrastructure into connected journeys, smarter activation, and measurable customer outcomes.
Marketing teams today have more data, more AI capability, and more technology than ever before. Yet turning those investments into connected journeys, real-time decisions, and experiences that truly resonate, remains frustratingly out of reach for many.
The problem usually isn’t the platform. It’s the gap between enterprise data infrastructure and marketing activation.
That gap was a recurring theme at our annual CX Midwest summit last week, where CEOs, CMOs, and CX leaders kept returning to the same question: “How do we make everything we’ve invested in work together when it matters most for the customer?”
On the CX Leadership Panel, brand leaders from Carter’s, Bridgewater Bank, and Cargill discussed how accurate, unified data foundations are becoming essential — not just operationally, but as a competitive advantage in customer experience.
Featured, from left: Spencer Smith, SVP Strategic Growth at Bold Orange; Allison Peterson, Chief Digital and Retail Officer at Carter’s; Jessica Stejskal, Chief Experience Officer at Bridgewater Bank; and Jennifer Patel, VP Global Marketing & Communications at Cargill.
That same theme carried into our conversations with Snowflake. Andrew Tanler, Enterprise Account Executive at Snowflake, captured the shift well:
“The marketers in the room aren’t just asking how data gets into a campaign anymore. They’re asking how AI can make that data work harder across every touchpoint. That shift is moving the data foundation conversation forward faster than anything we’ve seen before. When customer data is secure, governed, and unified in Snowflake, AI can do more than automate. It can help marketers activate with confidence and deliver outcomes they can trust.”
The message is clear: marketers who understand how their data is structured, governed, and activated will be better positioned to move fast, use AI with confidence, and create real customer impact.
The Snowflake conversation has changed
Snowflake has moved well beyond IT. It’s increasingly part of the agenda CMOs, CX leaders, and growth executives are carrying into their most important conversations, because the platform is becoming more directly connected to the systems that actually touch the customer.
Snowflake’s own 2026 marketing predictions explicitly call out the rise of the “context marketer” and deepening integrations with marketing automation and the major media platforms. Snowflake is wiring the warehouse directly into the systems that touch the customer, and the best-performing brands are already moving on all three shifts driving that change. We explored what that evolution looks like in Why Snowflake’s AI Evolution Matters for Marketers worth a read if you want the platform context before diving into the activation question, but here’s what’s driving the shift right now:
AI can only improve decisions, journeys, and next-best actions when it’s powered by accurate, unified customer data.
The warehouse is no longer just storage. It’s becoming a launchpad for audiences, triggers, journeys, and measurement.
The real issue is the operating model around the data
Here’s what we see most often: a brand has already invested in Snowflake. Data engineers are in it. Some marketing data is there. And the marketing team is still sending the same campaigns, using the same lists, and fighting the same measurement gaps they had three years ago.
The platform isn’t the problem. The operating model on top of it is.
Data can be accessible and still not be connected to a customer strategy. Implementation-led partners do exactly what they were hired to do they stand up the platform, build the schemas, integrate the sources, and make the data accessible. What they don’t do is connect any of that back to the actual marketing strategy: knowing the customer, designing the journey, choosing the right channel at the right moment, and proving what worked.
That’s where most of the ROI on Snowflake quietly disappears. And it’s the gap our model was built to close.
To get real value from Snowflake, marketing leaders need to connect the data foundation to the customer strategy: who the customer is, where they are in the lifecycle, which moments matter most, which channels should respond, and how success will be measured.
A different breed of Snowflake partner
For most CX and marketing leaders, the question is no longer whether Snowflake belongs in the stack. It already does. The question is whether it’s creating measurable customer-experience impact. And that’s where most implementation partners stop short.
Bold Orange is built for what comes next: making Snowflake perform for marketing.
We don’t start with the data warehouse. We start with the customer, their journey, and the lifecycle they are moving through. We pinpoint moments across channels where experience drives the most value. From there, we build backward into the data strategy, the Snowflake models, the activation pathways, and the measurement framework needed to bring those moments to life across marketing automation, CMS, CRM, paid media, decisioning, and analytics.
Because the work doesn’t end at the data layer. It ends in market.
Our role is to transform customer data into customer outcomes. We organize the work around three pillars focused exactly where CX programs tend to lose momentum:
Marketing Data Strategy
Define the customer, journey, channel, and data architecture decisions that create the foundation for growth.
Marketing Data Activation
Turn customer data into targeted audiences, triggered journeys, and coordinated personalized experiences across channels.
Marketing Data Attribution & Measurement
Create the closed-loop view of what’s working, why it’s working, and where to invest next.
This is where Snowflake’s AI capabilities including Cortex, Snowpark, and native ML become genuinely useful for marketers: identity resolution, LTV prediction, churn risk scoring, cross-sell modeling, repurchase-cadence triggers. All of it framed around marketing outcomes, not technical novelty. But only when it’s grounded in secure, governed, and unified customer data.
How to seize the opportunity (without buying a platform you already own)
If you are a CX or marketing leader trying to get more value from Snowflake, here are four moves are worth making this quarter:
Let’s Keep the Conversation Going
The conversations at CX Midwest made one thing clear: marketing leaders are ready to get more from the data foundation they already have. For many teams, the opportunity is not another platform. It is a clearer path from Snowflake to audience strategy, journey orchestration, personalization, and measurement.
We’ll be continuing that conversation at Snowflake Summit, June 1–4, in San Francisco. If your team is working through how to turn Snowflake into measurable CX and marketing impact, we’d love to connect — whether that’s a coffee, a working session, or just a good conversation about where you’re headed.
In the meantime, or if you want a head start, our team is happy to share how we’re thinking about the marketing-on-Snowflake roadmap for 2026. Just reach out.