Google Meridian vs Measured

Google Meridian9.1Visit Measured8.6Visit

Higher score Google Meridian #3 in Media Mix Modeling Software 9.1/10 Free plan Free plan✓ 0 of 3 features Try Google Meridian

vs

Measured #6 in Media Mix Modeling Software 8.6/10 Pricing on request ✓ 0 of 3 features Contact Measured

• Google Meridian fits best

  Teams able to run open-source Bayesian MMM

• Measured fits best

  Enterprise teams needing managed measurement and data feeds

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Side by side

Feature	Google Meridian 9.1/10 Visit ↗	Measured 8.6/10 Visit ↗
At a glance
Editor score	9.1	8.6
Ranking	#3 in Media Mix Modeling Software	#6 in Media Mix Modeling Software
Best for	Teams able to run open-source Bayesian MMM	Enterprise teams needing managed measurement and data feeds
Pricing model	Free	Paid
Starting price	Free plan	Pricing on request
Free plan	✓ (best)	Not checked yet
Free trial	—	—
Deployment	Self-hosted, Cloud	Cloud
Platforms	Web, macOS, Linux	Web
Support	Docs, Community	Email, Live chat
Integrations	4 integrations	300+ integrations
Built for	Small business, Mid-market, Enterprise	Enterprise
Features Google Meridian 0/3 · Measured 0/3
Budget optimization	Not checked yet	Not checked yet
Incrementality analysis	Not checked yet	Not checked yet
Managed modeling	Not checked yet	Not checked yet
Specs
Modeling approach	Not checked yet	Not checked yet
Model refresh	Not checked yet	Not checked yet
Data connectors	Not checked yet	Not checked yet
Our review
Pros	Estimates channel contribution, ROI, response curves, and incremental outcomes Supports fixed- and flexible-budget optimization, including ROI constraints Combines reach and frequency modeling with interactive scenario reports	Combines causal MMM with incrementality measurement and testing Supports budget planning, forecasts, and what-if scenario comparisons Offers 300+ managed data integrations and REST API access
Cons	Primarily a Python library, so teams need technical capacity to run it Self-hosting requires teams to manage their own environment Models incremental outcomes under assumptions, not future raw outcomes	Enterprise focus may not suit smaller marketing teams Pricing follows a contact-sales model Not designed for teams seeking a self-serve purchase
Our verdict	Google Meridian is an open-source media mix modeling framework for advertisers and marketing teams that need to measure how media contributes to outcomes and plan investment. Its Bayesian modeling and causal inference cover channel… Read the review →	Measured brings causal marketing mix modeling, incrementality testing, platform attribution data, and cross-channel reporting into a measurement and planning platform. It is aimed at enterprise brands and complex omnichannel organizations,… Read the review →

Strengths and trade-offs

• Google Meridian — where it wins

  • Estimates channel contribution, ROI, response curves, and incremental outcomes
  • Supports fixed- and flexible-budget optimization, including ROI constraints
  • Combines reach and frequency modeling with interactive scenario reports

  Where it doesn't

  • Primarily a Python library, so teams need technical capacity to run it
  • Self-hosting requires teams to manage their own environment
  • Models incremental outcomes under assumptions, not future raw outcomes

• Measured — where it wins

  • Combines causal MMM with incrementality measurement and testing
  • Supports budget planning, forecasts, and what-if scenario comparisons
  • Offers 300+ managed data integrations and REST API access

  Where it doesn't

  • Enterprise focus may not suit smaller marketing teams
  • Pricing follows a contact-sales model
  • Not designed for teams seeking a self-serve purchase

• Google Meridian9.1/10 · Free plan

  A free, Python-based framework for teams equipped to run Bayesian media mix models.

  Try Google MeridianFull verdict →
• Measured8.6/10 · Pricing on request

  Combines causal MMM, incrementality testing, and budget planning for enterprise teams.

  Contact MeasuredFull verdict →