Top 10 Best Marketing Mix Modeling Software of 2026

Measured is a leading Marketing Mix Modeling (MMM) platform that uses Bayesian hierarchical modeling and machine learning to accurately attribute marketing spend across channels to business outcomes like revenue and ROAS. It automates the entire MMM workflow, from secure data ingestion via cleanrooms to real-time scenario planning and forecasting, handling petabyte-scale datasets from numerous ad platforms. Designed for enterprise-scale precision, it delivers weekly model refreshes and causal insights to optimize budgets dynamically.

Coras is an advanced Marketing Mix Modeling (MMM) platform designed to measure and optimize marketing ROI across multiple channels using Bayesian modeling, adstock, and saturation effects. It automates data ingestion from diverse sources, builds scalable models, and delivers granular insights into incrementality and budget allocation. The tool excels in scenario planning and forecasting, helping marketers make data-driven decisions efficiently.

Google Meridian is a fully managed Marketing Mix Modeling (MMM) service on Google Cloud that automates the building, training, and deployment of Bayesian MMM models to measure marketing channel effectiveness and ROI. It processes massive datasets from sources like BigQuery, Google Ads, and third-party platforms, providing insights into incremental lift, budget optimization, and scenario simulations. Designed for the privacy-first era, it uses aggregated signals to deliver scalable, uncertainty-aware forecasts without requiring deep statistical expertise.

Robyn is an open-source Marketing Mix Modeling (MMM) framework developed by Meta, automating the end-to-end MMM process from data preparation to budget optimization. It employs Bayesian regression for robust causal inference, handles adstock and saturation effects via decomposition, and uses Nevergrad for hyperparameter tuning and scenario planning. Designed for scalability, it supports large datasets and provides diagnostic plots for model validation and insights.

MASS Analytics is a cloud-based SaaS platform specializing in automated Marketing Mix Modeling (MMM) to measure and optimize marketing ROI across channels. It integrates sales, media, and external data sources to build Bayesian hierarchical models, providing granular insights down to DMA or zip-code levels. The tool enables scenario simulations, budget optimization, and weekly automated reports, reducing reliance on data scientists.

Rockerbox is a marketing analytics platform specializing in multi-touch attribution, incrementality testing, and marketing mix modeling through its unified data aggregation from over 100 ad platforms and sources. It enables privacy-safe analysis via clean rooms, deduplicated conversion tracking, and ROI optimization without relying on cookies or third-party data. The tool provides 'always-on' MMM insights using experiment-based methods like holdouts, offering enterprises a holistic view of media performance.

Triple Whale is a comprehensive e-commerce analytics platform tailored for Shopify brands, offering data aggregation from ad platforms, sales channels, and financials. Its Marketing Mix Modeling (MMM) capabilities use Bayesian methods to measure channel incrementality, forecast scenarios, and optimize budgets amid privacy changes. Beyond MMM, it provides attribution, pixel tracking, creative insights, and a unified P&L dashboard for holistic performance analysis.

Northbeam is an AI-driven marketing analytics platform designed for e-commerce brands, offering cookieless attribution, incrementality testing, and marketing mix modeling (MMM) to measure true channel ROI. It features a 'Clean Data OS' that unifies data from all ad platforms and CRMs in real-time, enabling automated MMM runs with causal inference for ad spend optimization. The tool excels in privacy-safe environments, providing granular insights without third-party cookies.

PyMC Marketing is an open-source Python library built on the PyMC probabilistic programming framework, designed specifically for Bayesian Marketing Mix Modeling (MMM). It enables users to build flexible hierarchical models that attribute marketing channel contributions to KPIs like sales or revenue, incorporating effects such as adstock, saturation, and seasonality. Ideal for data-driven teams, it provides robust uncertainty quantification through MCMC sampling and supports custom priors based on domain expertise.

LeadsRx is a marketing analytics platform that combines multi-touch attribution with Bayesian Marketing Mix Modeling (MMM) to measure the incremental impact of marketing channels on leads and revenue. It excels in handling complex B2B customer journeys, incorporating adstock, saturation effects, and external factors like seasonality in its models. The tool integrates with numerous data sources and offers incrementality testing via geo-experiments for causal insights.