Massive Rocket Unveils Snowflake Customer 360: Accelerator for Braze Projects

Snowflake C360 Accelerator (for Braze)

Customer-obsessed brands are racing to turn their data into real-time, revenue-generating experiences, and the most effective way to do that is by unifying engagement data and warehouse data into one engine. Braze and Snowflake sit at the heart of this transformation for many global companies, but stitching them together in a way that is fast, reliable, and future-proof is not straightforward. At Massive Rocket, we have spent years solving this exact problem at scale, so we have built a Snowflake-native accelerator for Braze projects that gives you a 360° customer view and activation layer in under a month, without adding more tools or complexity to your stack.

When you connect Braze to Snowflake properly, you are not just wiring two systems together; you are creating a strategic asset for your entire business. A clean, governed, and actionable 360° view of your customer inside your own warehouse becomes the foundation for every decision you make, from acquisition and lifecycle marketing to product and commercial strategy. Because that data lives in your cloud data platform, you own it, you control it, and you can keep enriching it as new sources come online—from Braze, from your transactional systems, from your apps and websites, and from your offline channels.

360 Customer View for Global QSRs

For global quick service restaurants running Braze, having a 360° customer view inside Snowflake turns fragmented touchpoints into an always-on loyalty engine. By stitching together orders, app behavior, store visits, and Braze engagement events at the individual level, brands can identify who is truly loyal, who has only ordered once, and who is at risk of churning.

This makes it far easier to trigger journeys that nudge first-time buyers into their second and third purchase with the right offer, timing, and channel, which is where long-term loyalty is actually won. Because all of this data is stored and modelled centrally in Snowflake, teams can calculate and continuously refine long-term customer lifetime value by segment, market, and channel, while still keeping the underlying data governed, secure, and ready for new use cases such as AI-driven next-best-action models.

This unified view in Snowflake gives you a place where analytics, experimentation, and attribution all come together around a single customer record. Teams can correlate engagement data from Braze with sales outcomes, support interactions, loyalty behavior, and product usage, instead of looking at siloed dashboards that contradict each other.

Marketing automation stops being a black box and becomes measurable, comparable, and optimizable against real business outcomes such as lifetime value, churn, margin, and cross-sell. Over time, this asset compounds in value: every new campaign, event, and signal feeds back into the same warehouse model, making your audience definitions, predictions, and personalisation smarter with each iteration.

Braze Secure Data Sharing: Real-Time Insights Without ETL

One of the most powerful capabilities in the modern engagement stack is Snowflake Secure Data Sharing for Braze. Instead of exporting massive event files, landing them in cloud storage, and then loading them into your warehouse with fragile ETL jobs, Secure Data Sharing lets Braze make your engagement data instantly available inside your Snowflake account as a share. The underlying data is not copied; it is exposed as a governed data share that your account consumes, so your analysts and engineers can start querying campaign events, user behaviors, and engagement metrics as if they were native tables in your own environment.

Because data is shared at the platform level, you avoid the usual trade-offs between freshness, cost, and complexity. The data is effectively real-time, so your teams can run behavioural analysis, build attribution models, and validate experiments without waiting for overnight loads and without maintaining brittle pipelines. At the same time, Secure Data Sharing leverages Snowflake’s access controls and roles, so you can govern who sees what using the same security model you already trust for your own data. You also only pay for the compute you use to query the shared data, which keeps infrastructure costs lean while still giving your teams the freedom to explore and iterate. This combination of immediacy, governance, and efficiency is what allows a shared Braze–Snowflake stack to scale from proof-of-concept to global standard quickly.

Connecting Snowflake and Braze Properly

On paper, Braze and Snowflake are made for each other. Braze provides rich event data, profile attributes, and powerful activation capabilities, while Snowflake offers virtually unlimited scale, flexible compute, and a single source of truth for your business. Features like Braze Currents, Warehouse Ingestion, and Secure Data Sharing give you all the hooks you need to get data in and out in a robust way. In theory, that should make connecting the two straightforward.

In reality, most enterprise Snowflake environments are highly customized. Different teams own different schemas, data is modeled in inconsistent ways, and historical decisions about naming, granularity, and identity resolution make it hard to know exactly which tables should power your 360° profile. To build a reliable customer view, you need to understand not just what is coming from Braze, but also how it lines up with your POS, ecommerce, apps, offline, and loyalty systems. If you rush this, you end up with partial or duplicated profiles, audiences that do not behave as expected, and campaigns that look great in Braze but do not move top-line metrics. Getting this right requires deep knowledge of both platforms and a clear methodology for stitching data together around stable identifiers, governance rules, and business definitions.

Snowflake C360 Accelerator (for Braze)

Massive Rocket is a global Braze and Snowflake agency with more than 200 Braze implementations and a team of over 100 specialists focused entirely on customer engagement, data, and CRM for enterprise brands. Over the past seven years, we have integrated Braze with virtually every combination of ecommerce platforms, loyalty solutions, payment providers, and internal systems, across QSR, retail, media, finance, and travel. That experience is distilled into a Snowflake-native accelerator designed specifically for Braze projects.

At the core of this accelerator is a Snowflake-native ingestion and modeling framework built with Snowpark for Python. It orchestrates ingestion from Braze and your other systems, resolves customer identities, and assembles an actionable 360° view of your users directly in Snowflake. Because it is native, you do not need to buy an additional middleware layer or stand up a separate platform just to move data around. In most cases, our clients are able to get a first working 360° view, ready to power campaigns and analytics, in less than a month, then iterate on it as their needs evolve. The result is a faster path to value with a simpler architecture that your internal teams can own and evolve over time.

360° Customer View in 4 Weeks

Delivering a meaningful 360° view is not just about joining tables; it is about agreeing what “a customer” means for your business and then reinforcing that definition in both Snowflake and Braze. Our accelerator starts by ingesting high-value engagement streams from Braze—campaign events, message opens, clicks, conversions, and profile updates—into a structured model in Snowflake. We then connect that data to your transactional and behavioral sources so that orders, visits, subscriptions, support cases, and loyalty interactions sit alongside marketing events on a single customer timeline.

With that foundation in place, you can define business-ready segments and metrics directly in Snowflake, whether that is high-intent shoppers, at-risk subscribers, dormant users with high potential, or local franchise audiences. Those segments can be pushed back into Braze via Warehouse Ingestion or reverse ETL tools like Hightouch, so your marketing and CRM teams can activate them in real time across channels. Because the logic lives in the warehouse, everyone—marketing, product, data, finance—works off the same definitions and can see the same impact in dashboards and experiments. In under a month, you go from disconnected systems to a functioning loop where data flows from Braze to Snowflake, is enriched and modeled, and then flows back into Braze as smarter audiences and triggers.

Snowflake and Braze Customer Stories

The value of a strong Braze–Snowflake integration is best seen in the results our clients achieve. For Papa John’s, Massive Rocket unified customer data in Snowflake and migrated their engagement platform to Braze in under three months, enabling them to relaunch their loyalty program and run highly personalized, geo-targeted campaigns at scale. With a single source of truth in the warehouse powering Braze, transactional email volume increased dramatically while delivery improved significantly, and CRM-driven revenue and overall sales saw double-digit growth.

Across industries, similar patterns emerge when Snowflake and Braze are wired together correctly. QSR brands use unified data to trigger offers at precisely the right moment, while retailers build journeys that react to browsing, purchase, and loyalty data in real time. Media and entertainment companies use engagement data to recommend content and offers, and financial services brands combine product and support data to manage churn proactively. In each case, it is the same pattern: Snowflake as the real-time customer brain, Braze as the execution engine, and Massive Rocket as the partner making sure everything is designed to deliver measurable business outcomes, not just technical completeness.

Get in Touch to Get Started

If you are planning a new Braze implementation, replatforming from another engagement tool, or simply want to get more value from your existing Braze and Snowflake investment, this is the right moment to put a robust integration foundation in place. Our Snowflake accelerator for Braze projects is designed to meet you where you are: we can audit your current setup, align key stakeholders around a shared 360° vision, and then deploy the framework in your environment so your teams can start using it quickly. From there, we help you iterate with real campaigns, experiments, and measurement so the integration proves its value in weeks, not years.

Massive Rocket’s mission is to help brands build customer loyalty that lasts by combining data, technology, and execution into one coherent engine. As a leading Braze and Snowflake agency, with deep expertise in tools like Hightouch, we are uniquely positioned to turn your warehouse and engagement platform into a single growth system rather than a collection of tools. If you would like to see how our Snowflake accelerator for Braze projects could work in your environment, get in touch and we will walk you through real architectures, playbooks, and customer results tailored to your industry and maturity.