MASS Analytics Partnership with Snowflake

MASS Analytics Launches Always-On Marketing Mix Modeling as a Snowflake Native App on Snowflake Marketplace

London, March 3, 2026

The Challenge with Traditional MMM

Many marketing and analytics teams still struggle to make marketing mix modeling work as a day-to-day tool. Models are often built as one-off projects. They are fed by manual data pulls and CSV uploads. As a result, they refresh too slowly to keep pace with how budgets are actually managed.

In turn, insights go stale. Teams lose trust in the outputs. MMM ends up as a report rather than a system that supports ongoing decisions.

What MASS Analytics Is Launching

Today, MASS Analytics announces the launch of MassTer PACE on Snowflake Marketplace. MassTer PACE is a Snowflake Native App. It enables mutual customers to run the full marketing mix modeling lifecycle directly inside their Snowflake environment, from data ingestion to model refresh and publishing results for planning and execution.

“Our goal is simple. We want teams to move past static MMM reports and into ongoing optimization,” said Firas Jabloun, CEO, MASS Analytics. “By launching MassTer PACE as a native app on Snowflake Marketplace, customers can run MMM at scale on their own data without heavy setup. That means less time managing data and more time making better marketing spend decisions.”

How It Works with Snowflake

MASS Analytics and Snowflake are working together to help joint customers improve marketing effectiveness. With MassTer PACE, brands can pull media, sales, and promotion data from Snowflake. They can also refresh models on demand and push results back into planning tools. This means budget and channel decisions are guided by live contribution data, not stale reports.

“Snowflake is excited to see MASS Analytics launch its marketing mix modeling application as a native app on Snowflake Marketplace,” said Dan Waters, VP EMEA Partners and Alliances, Snowflake. “By building directly on Snowflake, MASS Analytics gives customers a simple way to run marketing mix modeling on their data at scale. We see strong demand for these capabilities and look forward to supporting customers as they use this solution to make better marketing decisions.”

What Customers Can Do Today

Joint customers can now access MassTer PACE on Snowflake Marketplace using their unused credit capacity. Specifically, they can automate model refresh, test spend scenarios, and forecast outcomes using live contribution data.

As a Snowflake Native App, MassTer PACE installs and runs directly in a customer’s Snowflake account. There is no data movement. This reduces complexity and speeds up time to value. For example, teams can compare multiple media plans and publish the selected scenario back into Snowflake for execution.

About Snowflake Marketplace

Snowflake Marketplace helps companies expand what is possible with data and AI through third-party data, apps, and AI products. With on-platform purchasing and immediate access to data products, it lowers integration costs and simplifies procurement. By delivering apps directly to customers’ data, providers offer a better experience and unlock faster value.

The Snowflake Native App Framework enables developers to build applications using Snowflake’s core capabilities. Furthermore, it allows global distribution on Snowflake Marketplace and deployment within a customer’s Snowflake account. As a result, customers run applications securely on their data without moving it.

About MASS Analytics

MASS Analytics delivers low-latency, cloud-native MMM deployed on Snowflake. MassTer PACE, our AI-first Always-ON Analytics platform, moves at the speed of modern marketing decisions. We deliver continuously calibrated marketing measurement that enables businesses to drive growth today and tomorrow, bringing clarity in the midst of volatility.

Ready to talk about your business?

Whether you’re approaching MMM for the first time or looking to improve an existing measurement programme, we’d be glad to walk through what it would look like for your specific structure.