Haus Causal MMM

At a glance

• Editor score
  7.9 / 10
• Pricing
  Pricing on request
• Best for
  Teams combining MMM with incrementality experiments
• Facts checked
  13 Oct 2026

• Where it wins

  • Uses incrementality experiments to ground MMM estimates
  • Simulates budget shifts and plans for seasonality
  • Refreshes models and data weekly

• Where it doesn't

  • Pricing is available by contacting sales
  • Enterprise MMM is an add-on rather than included
  • Connector breadth is limited to listed options

Our verdict on Haus Causal MMM

Haus Causal MMM helps brands assess how media investments affect business outcomes and plan future budgets. It is aimed at mid-market and enterprise teams that want to combine marketing mix modeling with incrementality experiments, rather than rely on modeling alone. The product incorporates experiment results and business context such as pricing, promotions, launches, holidays, and organic activity into its estimates. Its cloud-based web access suits teams working with measurement and marketing data, with listed integrations for Shopify, Amazon, Snowflake, and BigQuery.

The modeling workflow extends from channel analysis to planning. Weekly model and data refreshes provide a recurring view, while scenario simulation lets teams examine budget shifts and seasonality. Haus also describes analysis of channels that can be difficult to measure through geo tests and recommendations for new incrementality experiments. These capabilities make the product relevant for teams that need to connect observed experimental evidence with broader channel-level planning; teams seeking only a basic reporting tool may find its modeling and measurement focus more than they need.

The published plans show Plus includes Causal MMM built on experiments, scenario planning for budget shifts and seasonality, and an MMM Specialist. Enterprise offers experiment-grounded Causal MMM with scenario planning available, plus an Embedded Measurement Strategist and Dedicated Data Scientist; MMM is an add-on for that tier. Pricing requires contacting sales. Haus lists GDPR compliance and docs support. Choose it if experiment-grounded estimates, ongoing refreshes, and specialist measurement support align with your planning process. Consider alternatives if you need published pricing or a broader set of listed integrations.

Your product? Our editors can test Haus Causal MMM in depth and publish a review, labelled as paid · from $99/mo →

Haus Causal MMM pricing

All 2 Haus Causal MMM plans and prices →

Haus Causal MMM fact sheet

Haus Causal MMM integrations

Haus Causal MMM lists 4 integrations on its own site.

• Shopify
• Amazon
• Snowflake
• BigQuery

Alternatives to Haus Causal MMM

• Adobe Marketing Campaign Analytics (formerly Adobe Mix Modeler)Combines mix modeling and attribution with budget scenarios and in-flight optimization.9.3
• CLCircana Liquid MixA retail-informed MMM tool for channel impact, budget scenarios, and forecasts.9.2
• Google MeridianA free, Python-based framework for teams equipped to run Bayesian media mix models.9.1

See all Haus Causal MMM alternatives →

Featured on iTechGuides

Haus Causal MMM is listed in our Media Mix Modeling Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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Last updated 20 Oct 2026 · How we research and update