25 Marketing Mix Modeling Tools for Accelerating Growth in 2025

Marketing Mix Modeling (MMM) has become a vital tool for businesses looking to optimize their marketing investments. In a world where last-click attribution is still broadly used in cross-channel budget allocation, MMM provides an alternative for measuring media ROI based on true incremental sales impact of each channel.

Modern MMM tools and software are more accessible and powerful than ever. But how should one choose which tool to adopt? In this article, we'll revisit our evaluation criteria for choosing an MMM tool, as well as provide alternative solutions from MMM companies you can start evaluating.

What is Marketing Mix Modeling?

Marketing Mix Modeling (MMM) is a statistical analysis technique to measure how marketing campaigns and channels are driving sales. By analyzing historical data, MMM is able to explain how different channels, such as Google Performance Max and Meta Advantage+, contribute to sales. It quantifies the return on investment (ROI) for media spend, enabling data-driven media budget optimization decisions. Below is an illustration of how MMMs work:

Next Gen MMM solutions have evolved beyond traditional time-series models: they leverage incrementality tests and attribution data to uncover the true ROI of each channel. 

How to Choose a Marketing Mix Modeling Tool?

Sellforte’s Buyers Guide to MMM Tools provides a full in-depth explanation of what to look for when evaluating Marketing Mix Modeling tools or platforms. In this chapter, you'll find the summary with icon ✅ indicating a basic feature in most MMMs, and icon 💎 indicating features you typically find from most advanced MMM platforms, Next Gen MMMs.

1. Choose an MMM Tool That Helps You Drive More Sales

Your primary goal is to ensure that the Marketing Mix Modeling solution includes optimization capabilities that help you improve marketing ROI and drive sales growth. In our research on MMM optimization levers, the three largest levers for driving sales growth include optimization allocation across campaigns, across channels, and across weeks over time (budget pacing), as illustrated in the picture below:

Here’s a checklist covering key optimization levers:

Basic MMM features:
✅ Advertising channel-level optimization

Next Gen MMM features:
💎 Campaign-level optimization
💎 Optimal weekly budget pacing

2. Choose an MMM Tool That Produces High Quality Results

Once you've checked that the Marketing Mix Modeling tool you're evaluating has the required optimization capabilities that help you drive more sales, you need to determine whether you can trust the MMM results sufficiently to make data-driven decisions based on its recommendations.

Here’s the reality: many Marketing Mix Models on the market produce low-quality, unreliable results. Why? While generating MMM results has become easier than ever with free-to-use modeling libraries, the real challenge remains: MMM datasets are often noisy and plagued by multicollinearity. This makes building stable, high-quality models that generate accurate results challenging.

Fortunately, there are indicators that can help you assess whether an MMM vendor delivers high-quality results. Here’s a checklist:

Basic features:
✅ Statistical model validation
✅ Bayesian approach

Next Gen MMM features:
💎 MMM is calibrated with informative priors 
💎 Robust framework for generating informative priors
💎 Advanced model validation based on model outputs

3. Choose an MMM Tool That Is Easy to Test & Start with

Now that you’re sure that your MMM provides the right optimization insights and delivers high-quality modeling results, the next step is to assess how easy it is to get started with the platform. At Sellforte, we’re particularly passionate about ensuring that MMMs are both user-friendly and accessible—without sacrificing the accuracy and reliability of the results. Here's your checklist:

Basic features:
✅ Data connectors

Next Gen MMM features:
💎 Delivers high quality results in 1-2 weeks
💎 Provides a Free Trial

Which Marketing Mix Modeling Tool Should I Use?

While choosing a Marketing Mix Modeling tool is ultimately a decision for you to make, the evaluation framework in the previous chapter should provide a good starting point for comparing different MMM tools and companies. To get you started here's a list of 25 Marketing Mix Modeling tools:

1) Sellforte (MMM SaaS)

Sellforte is a Next Gen Marketing Mix Modeling platform for Retailers, eCommerce businesses and DTC brands:

• Drive +6.5% more sales: Sellforte typically unlocks +6.5% more sales for eCom / DTC brands (read the full research).
• Onboarding is fast & easy: Users spend 15-30min connecting their data with in-built data connectors, and MMM results are available in 1-2 weeks.
• High Quality MMM results: Sellforte uses Bayesian Marketing Mix Modeling combined with model calibration with incrementality experiments and attribution data.
• Campaign-level results: Get ROI and recommended budget for each campaign.
• Geo lift analysis is integrated into the platform, for validating MMM results, and calibrating the MMM.

Sellforte is best for eCommerce businesses, DTC brands and Retailers who want to unlock their growth by optimizing their budget allocation across channels and campaigns based on true incrementality sales impact of media.

Sellforte offers a free trial for eCommerce / DTC brands and Retailers to test the platform, and has a no-signup demo that everyone can try. Additionally, Sellforte has transparent pricing available on its website.

2) Meridian (Build-it-yourself MMM)

Meridian enables organizations to develop customized Marketing Mix Models. Like Sellforte, Meridian leverages Bayesian MMM approach. It incorporates several advancements studied by Google Research teams over the years, providing a powerful toolkit for skilled analysts and data scientists. With Meridian, users can:

• Build models using Python
• Analyze key outputs, such as Marketing ROI and diminishing return curves.
• Optimize media budget allocation by creating scenarios in Python and reviewing the results as plotted graphs.

Meridian accelerates the process of developing Bayesian Marketing Mix Models, saving data scientists the effort of manually implementing essential MMM components like adstock effects and diminishing returns.

This solution is best suited for companies with experienced data science and software development teams looking to build a highly customized MMM framework almost from scratch. However, compared to a comprehensive MMM platform like Sellforte, Meridian lacks a user-friendly interface for marketers to conduct analyses and optimize media budgets. Additionally, it does not include built-in data connectors for ad platforms, automated data processing pipelines, or automated model calibration workflows. The image below summarizes the scope difference between Meridian and Sellforte.

3) Robyn MMM (Build-it-yourself MMM)

Robyn, developed by Meta, is an open-source Marketing Mix Modeling (MMM) library that allows businesses to create customized marketing mix models. It leverages Facebook’s Nevergrad optimization library along with the Prophet time-series forecasting library. Nevergrad applies advanced machine learning techniques—such as Bayesian optimization and genetic algorithms—to fine-tune model parameters. Robyn also utilizes hyperparameter optimization, running thousands of model variations with different parameter settings to identify the most accurate configuration.

Like Meridian, Robyn is best suited for companies with experienced data science and engineering teams looking to build a fully customized MMM solution from the ground up. However, compared to a complete MMM platform like Sellforte, Robyn lacks a user-friendly interface for marketers to analyze results and optimize scenarios. Additionally, it does not include built-in data connectors to ad platforms, automated data processing pipelines, or automated model calibration workflows.

Compare Robyn and Sellforte: Comparison of Robyn vs Lightweight vs Marketing Mix Modeling SaaS.

4) PyMC-Marketing (Build-it-yourself MMM)

PyMC-Marketing is an open-source library built on PyMC. Like Sellforte and Meridian, PyMC-Marketing leverages a Bayesian Marketing Mix Modeling (MMM) approach.

PyMC-Marketing is best suited for companies with experienced data science and engineering teams looking to build a fully customized MMM solution from the ground up. However, it lacks features typically found from full MMM solutions, like built-in data connectors, automated data processing pipelines, automated model calibration workflows, or a user-interface for analysis and optimization.

5) Uber Orbit (Build-it-yourself MMM)

Uber’s Orbit library is a lightweight, scalable framework designed for time-series forecasting, making it useful for Marketing Mix Modeling (MMM) applications. Like Sellforte, Orbit leverage Bayesian MMM approach. Orbit's use in MMM was illustrated in Orbit's paper “Bayesian Time Varying Coefficient Model with Applications to Marketing Mix Modeling“

Since Orbit is primarily a forecasting library, it lacks some critical MMM features, such as modeling diminishing returns or adstock. It also lacks features typically found from full MMM solutions, like built-in data connectors, automated data processing pipelines, automated model calibration workflows, or a user-interface for analysis and optimization.

6) Lifesight (MMM SaaS)

Lifesight website

Lifesight is an MMM SaaS alternative, with majority of employees in India (source: LinkedIn).

Lifesight healine: "Turn wasted ad dollars into predictable growth & profit".

7) Incrmntal (MMM SaaS)

Israeli-based Incrmntal is a 2020-founded MMM Saas startup, with several gaming companies mentioned as their reference customers, such as Sega, Supercell, Gameloft.

Incrmntal headline: "Welcome to the Future of Measurement"

8) Recast (MMM SaaS)

Recast is an MMM SaaS that highlights rigorous modeling and model validation as its strength.

Recast headline: "Recast is the world’s most rigorous incrementality platform"

9) Cassandra (MMM SaaS)

Cassandra is an Italian MMM SaaS startup, founded in 2022.

Cassandra headline: "Measure and Optimize your Media Mix with AI"

10) Keen Decision Systems (MMM SaaS)

Keen Decision Systems is an MMM SaaS alternative.

Keen Decision Systems headline: "Forecast, optimize, and analyze your marketing investment"

11) Prescient AI (MMM SaaS)

Prescient AI is an MMM SaaS alternative.

Prescient AI headline: "The world’s smartest marketing decision engine, powered by the most dynamic MMM."

12) Measured (MMM SaaS)

Measured is an MMM SaaS company.

Measured headline: "If it's not growing your business, it's waste"

13) Liftlab (MMM SaaS)

LiftLab is an MMM SaaS alternative.

LiftLab headline: "Maximize Your Marketing P&L for Growth and Profitability."

14) Paramark (MMM SaaS)

Paramark is 2023-founded MMM SaaS alternative.

Paramark headline: "Invest in marketing with confidence & predictability"

15) Mutinex (MMM SaaS)

Mutinex is an Australian MMM SaaS company.

Mutinex headline: "Mutinex is your business growth co-pilot. Your best decisions start here."

16) DoubleVerify / Rockerbox (MMM SaaS)

Rockerbox is originally a multi-touch-attribution company, who has later expanded to providing MMM SaaS. Rockerbox was originally an independent MMM vendor, but was acquired by DoubleVerify in 2025.

Rockerbox headline: "Rockerbox unifies your marketing measurement, marketing data, marketing decisions making, entire business"

17) Objective Platform (MMM Consultancy services / SaaS)

Objective Platform is a Neatherlands-based company offering MMM consultancy services and an MMM platform.

Objective Platform headline: "Elevate your marketing with data-driven insights, cross-channel optimization, holistic data overview, next gen attribution modeling, advanced budget forecasting, customizable reporting"

18) Seeda (MMM SaaS)

Seeda is a 10-person (Linkedin 2025 July) Australian startup with a headline "Predict Your Perfect Mix".

19) WorkMagic (MMM SaaS)

WorkMagic is an MMM startup with 25 employees (LinkedIn 2025 July) with a headline "Growth by science".

20) Circana (MMM consulting)

Circana is a marketing analytics consulting company, who also provide Marketing Mix Modeling consulting services.

21) Analytic Partners (MMM Consulting)

Analytic Partners is a marketing analytics consulting company with a broad offering, which also includes Marketing Mix Modeling consulting services.

Analytics Partners headline: "We help global brands maximize success with impactful marketing decisions"

22) Kantar / Blackwood Seven (MMM Consulting)

Kantar provides Marketing Mix Modeling consulting services through a sub-brand called Blackwood Seven, which it aquired in 2022.

Blackwood Seven headline: "LIFTROI x HamiltonAI. Unified Marketing Measurement & Optimization."

23) Aryma Labs (MMM Consulting)

Aryma Labs is an India-based company offering Marketing Mix Modeling projects. They are active in MMM-related publications, emphasize the frequentist MMM approach (instead of Bayesian).

Aryma Labs headline: "Marketing Measurement For The Privacy First Era."

24) Proof Analytics (MMM Consulting)

Proof Analytics headline: "Proof-as-a-Service. Make smarter decisions in a volatile marketplace with Proof CausalAI™"

25) Nepa (MMM Consulting)

Nepa is a Sweden-based marketing analytics consultancy, also offering Marketing Mix Modeling.

Nepa headline: "Big data, human touch. At the nexus of data analysis and marketing mastery, Nepa translates complex information into clear direction."

Is Sellforte the Marketing Mix Modeling tool you’re looking for?

Marketing Mix Modeling reveals the true ROI of all of your channels, and enables you to optimize your media spend based on true incremental impact of each media.

If you are ready to unlock the full potential of your media budget, start your free trial with Sellforte today.

Further Reading

• What is Marketing Mix Modeling? A Complete Guide. Link

• Ultimate Buyer's Guide to MMM: How to Choose the Best Platform in 2025. Link

• From Last-click to Marketing Mix Modeling (MMM): Unlock +6.5% more sales. Link

Authors

Lauri Potka is the Chief Operating Officer at Sellforte, with over 15 years of experience in Marketing Mix Modeling, marketing measurement, and media spend optimization. Before joining Sellforte, he worked as a management consultant at the Boston Consulting Group, advising some of the world’s largest advertisers on data-driven marketing optimization. Follow Lauri in LinkedIn, where he is one of the leading voices in MMM and marketing measurement.