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Head-to-head · Media Mix Modeling Software

Circana Liquid Mix vs Google Meridian

  • Updated Oct 2026
  • Both researched from official sources
  • 3 checks side by side
Higher score Circana Liquid Mix #2 in Media Mix Modeling Software 9.2/10 Pricing on request ✓ 2 of 3 features Visit Circana
Google Meridian #3 in Media Mix Modeling Software 9.1/10 Free plan Free plan✓ 0 of 3 features Try Google Meridian

Circana Liquid Mix leads on 0 checks, Google Meridian on 0, and 3 are even. Who comes out ahead on the 3 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreCircana Liquid Mix · 9.2/10
  • Free planonly Google Meridian
  • Most featuresCircana Liquid Mix · 2 of 3

Circana Liquid Mix scores higher on our rubric for media mix modeling software: 9.2 against 9.1 out of 10; our editors rank them #2 and #3.

Circana Liquid Mix is the better fit for retail teams that need frequent MMM refreshes. Google Meridian is the better fit for teams able to run open-source Bayesian MMM.

  • Circana Liquid Mix fits best

    Retail teams that need frequent MMM refreshes

  • Google Meridian fits best

    Teams able to run open-source Bayesian MMM

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. How we rank.

Side by side

Feature Circana Liquid Mix 9.2/10 Visit ↗ Google Meridian 9.1/10 Visit ↗
At a glance
Editor score 9.2 9.1
Ranking #2 in Media Mix Modeling Software #3 in Media Mix Modeling Software
Best for Retail teams that need frequent MMM refreshes Teams able to run open-source Bayesian MMM
Pricing model Paid Free
Starting price Pricing on request Free plan
Free plan Not checked yet ✓ (best)
Free trial — —
Deployment Cloud Self-hosted, Cloud
Platforms Web Web, macOS, Linux
Support Docs Docs, Community
Integrations 9 integrations 4 integrations
Built for Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Circana Liquid Mix 2/3 · Google Meridian 0/3
Budget optimization ✓ (best) Not checked yet
Incrementality analysis ✓ (best) Not checked yet
Managed modeling Not checked yet Not checked yet
Specs
Modeling approach Bayesian Not checked yet
Model refresh Continuous Not checked yet
Data connectors Not checked yet Not checked yet
Our review
Pros
  • Estimates incremental impact by marketing channel and tactic
  • Combines marketing, sales, and media data with Circana POS and market signals
  • Automates model generation and refreshes models daily
  • 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
Cons
  • Pricing requires contacting sales
  • Support is listed through documentation
  • The Bayesian approach applies to the Meridian framework, not necessarily every option
  • 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
Our verdict

Circana Liquid Mix is a cloud-based, self-serve marketing mix modeling platform for marketing analytics teams that want to assess channel contribution, explore budget changes, and forecast outcomes. It combines customer marketing, sales,…

Read the review →

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 →
  1. Circana Liquid MixMedia Mix Modeling Software 9.2Pricing on request
  2. Google MeridianMedia Mix Modeling Software 9.1Free plan

Strengths and trade-offs

  • Circana Liquid Mix — where it wins

    • Estimates incremental impact by marketing channel and tactic
    • Combines marketing, sales, and media data with Circana POS and market signals
    • Automates model generation and refreshes models daily

    Where it doesn't

    • Pricing requires contacting sales
    • Support is listed through documentation
    • The Bayesian approach applies to the Meridian framework, not necessarily every option

  • 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

More comparisons

All media mix modeling software comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update