10 Best Media Mix Modeling (MMM) Tools & Software in 2026
Media mix modeling (MMM) measures how each marketing channel contributes to revenue or conversions from aggregate data, without tracking individual users. As user-level tracking has become harder, more brands are looking at it, and the tools now range from free open-source packages that need a data scientist to managed platforms.
Quick Comparison: 10 MMM Tools at a Glance
| Tool | Price (as shown on its own site, 4 October 2026) |
|---|---|
| Google Meridian | Free (open source) |
| Meta Robyn | Free (open source) |
| Cassandra | From €2,700/month |
| MCP Analytics | 14 days free, then a $20 seat |
| Recast | Not shown; contact |
| Keen | Not shown; sign-up and demos on its site |
| Prescient AI | Custom; $100K+ monthly ad spend minimum |
| Sellforte | From $1,900/month at $300K monthly media spend |
| Lifesight | Not shown; by demo |
| Analytic Partners | Not shown |
1. Google Meridian
Price: Free (open source) | developers.google.com/meridian
Google describes Meridian as “an open-source MMM built by Google,” and publishes its code and methodology papers on GitHub. You run it yourself, so it suits a team with the statistical and engineering skills to fit and maintain a model.
Best for: Data science teams who want a free, open-source MMM framework they can inspect and customize.
2. Meta Robyn
Price: Free (open source) | facebookexperimental.github.io/Robyn
Robyn describes itself as “an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science.” Like Meridian, it is a package you run yourself.
Best for: Data science teams who want a free, open-source MMM package from Meta Marketing Science.
3. Cassandra
Price: Essentials from €2,700/month, Complete from €3,400/month, Scale €4,050/month, Enterprise custom; annual, scaling with media spend (its pricing page, 4 October 2026) | cassandra.app/pricing
Cassandra’s own line: “Marketing Mix Model, geo-lift testing, and always-on incrementality, one platform, one price.” Its plans add a dedicated strategist and managed service as you move up.
Best for: Brands that want MMM, geo-lift testing and incrementality from one managed platform.
4. MCP Analytics
Price: 14 days free, then a $20 seat; see pricing | mcpanalytics.ai
(Disclosure: this is our product.) MCP Analytics is not a full MMM platform: it does not keep a persistent model with adstock curves and saturation functions running, the way Meridian or Robyn do. What it does is answer a question about your marketing spend at the depth the question needs. Upload your spend data with your revenue or conversions and ask. A quick question gets an Answer; a question that needs a statistical method gets Analytics, a tested method from our library with the method named and the R code included; a question only your business asks gets Custom Analytics, built for your data.
Library tools and Analytics give the same numbers on the same data (the run-twice proof). It is also an MCP server, so your own AI assistant can run the analysis.
Best for: Teams who want a statistical read of their marketing spend data without committing to a full MMM platform, or a second look at numbers from another tool.
5. Recast
Price: Not shown on its site; contact Recast | getrecast.com
Recast describes itself as “marketing planning & analysis infrastructure,” powered by a proprietary Bayesian MMM. Pricing is by demo or by email.
Best for: Teams that want a managed Bayesian MMM and are ready to talk to sales.
6. Keen Decision Systems
Price: Not shown on its site; sign-up and demos are offered there | keends.com
Keen calls itself a “marketing investment decision engine” that helps decide where marketing dollars create the most profitable growth.
Best for: Marketing teams that want guided budget decisions and want to try it before committing.
7. Prescient AI
Price: Custom, by business size and number of sales channels; its site states a minimum of $100K+ monthly ad spend and annual contracts (4 October 2026) | www.prescientai.com/pricing
Prescient AI describes itself as a marketing mix modeling platform for growth teams, measuring channel impact and cross-channel effects across DTC, Amazon, retail and wholesale.
Best for: Brands with significant ad spend across several sales channels.
8. Sellforte
Price: At $300,000 average monthly media spend: Incrementality Testing $1,900/month, Incremental Attribution $2,500/month, Full-Funnel MMM $4,500/month plus customizations, Enterprise $8,500/month plus customizations (its pricing page, 4 October 2026) | www.sellforte.com/pricing
Sellforte is a marketing measurement and optimization platform using causal marketing mix modeling, incrementality testing and AI-driven analytics, across digital and offline channels. Its prices scale with media spend and the sales channels you select.
Best for: Teams that want to start with incrementality testing and grow into full-funnel MMM.
9. Lifesight
Price: Not shown on its site; three plans (Performance, Precision, Enterprise) by demo | lifesight.io/pricing
Lifesight describes itself as “agentic unified marketing measurement,” with causal MMM, scenario planning and testing on its higher plans.
Best for: Growing and large brands that want measurement, planning and testing in one platform.
10. Analytic Partners
Price: Not shown on its site | analyticpartners.com
Analytic Partners frames its offer as “Commercial Intelligence”: turning business data into insights that drive action.
Best for: Large organizations that want a consulting-style measurement partner.
How to Choose the Right MMM Tool
You have data scientists:
Start with Google Meridian or Meta Robyn. They are free and open source, and your team can inspect and customize everything.
You don't have data scientists:
Look at the managed platforms (Cassandra, Keen, Prescient AI, Sellforte, Lifesight, Recast, Analytic Partners), compare what each one’s own site says it includes, and ask for a demo. If you want a statistical read of your spend data first, MCP Analytics answers a question about it with the method named.
Your turn
Bring your own data and the question you actually need answered.
CympleData Scientist Send me your data and question, I’ll send you the analytics. ds@mcpanalytics.ai
Frequently Asked Questions
What is media mix modeling?
Media mix modeling (MMM) is a statistical technique that measures how each marketing channel (TV, search, social, display, email, out-of-home and more) contributes to business outcomes like revenue or conversions, using aggregate historical data rather than individual user tracking.
How much does MMM software cost?
Google Meridian and Meta Robyn are free and open source. Of the managed platforms whose pages showed prices on 4 October 2026, Cassandra started from €2,700/month and Sellforte from $1,900/month at $300,000 monthly media spend; several others price by demo. Check each vendor’s own pricing page.
What data do I need for media mix modeling?
Typically, a history of weekly data covering marketing spend by channel and a business outcome (revenue, conversions or leads), and ideally external factors such as seasonality, promotions and pricing changes. The longer and more varied the history, the better the model can separate channel effects.
What's the difference between MMM and MTA (multi-touch attribution)?
MMM uses aggregate historical data to measure channel-level impact over weeks or months. MTA tracks individual user journeys across touchpoints. MMM needs no cookies or user IDs and can include offline media such as TV.
The Bottom Line
There are MMM options at every level of skill and budget, from free open-source packages to managed platforms. If you are just starting with marketing measurement, begin with the data you have and a question you need answered, then choose the tool that fits your team.
Working on this for your business? See the marketing analytics page.