New AI Sidekick for marketers helps leaders identify true incremental impact, eliminate waste, and reallocate spend with confidence
Domo announced the launch of Domo MMM, a new AI-sidekick for marketers that powers measurement and is designed to help organizations understand which marketing investments are truly driving growth and which are not. Developed in collaboration with Stella Growth Intelligence, Domo MMM brings causal marketing measurement, scenario modeling, and AI-guided recommendations directly into the flow of business decision-making.
“Domo MMM gives teams shared, AI-generated proof they can trust. It turns marketing measurement from a retrospective exercise into a living, decision-making system.” – Mark Boothe, CMO at Domo
Marketing remains one of the largest and most scrutinized investments in business. Yet many organizations still rely on dashboards and attribution models that describe what happened without proving why. Domo MMM addresses this gap by using AI and Bayesian modeling to isolate causal impact, quantify incremental lift, and show how changes in spend will affect future revenue.
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From Attribution To Evidence
Rather than producing static reports or one-off studies, Domo MMM operates as an AI sidekick, continuously analyzing performance as data updates and delivering guidance through natural language interaction. Marketing and finance leaders can ask questions such as “Which campaigns are driving real incremental revenue?” or “What happens if we shift budget mid-quarter?” and receive evidence-backed answers, forecasts, and recommendations. It is a natural evolution toward the future intelligent enterprise.
“Marketing leaders are under pressure to defend spend with real financial evidence, not assumptions or correlations,” said Mark Boothe, chief marketing officer at Domo. “Domo MMM gives teams shared, AI-generated proof they can trust. It turns marketing measurement from a retrospective exercise into a living, decision-making system.”
Domo MMM connects securely to an organization’s existing data environment, bringing together media spend, sales performance, and external factors such as seasonality and pricing, with initial results showing up in as little as 10 minutes. Powered by Stella’s marketing intelligence, the service identifies underperforming spend, highlights opportunities for reallocation, and continuously improves accuracy as new data flows in.
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Unlike consultant-led marketing mix modeling projects, which are often slow, expensive, and static, Domo MMM runs continuously as software. Insights refresh automatically, allowing teams to adjust budgets mid-campaign and align faster across marketing, finance, and executive leadership.
“By combining Stella’s incrementality modeling with Domo’s orchestration and AI Service Layer, we’ve made sophisticated measurement accessible at software speed,” said Brenden Delarua, co-founder at Stella Growth Intelligence. “This is marketing intelligence that feels immediate, practical, and built for real-world decision-making.”
Built For Real-World Data
Built for enterprise use, Domo MMM can be deployed directly within Domo, run as a Snowflake Native App, or connect to Databricks through Domo’s integration framework. Customer data remains within the customer’s cloud environment, ensuring governance, security, and alignment with existing data policies.
Domo MMM includes intelligent scenario modeling that allows teams to test “what-if” budget shifts before committing spend, forecast revenue impact, and create shared accountability across the C-suite. The service is available now through Domo account teams, with a lighter version accessible via Snowflake Marketplace.
