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Tools
Attribution & marketing mix modeling
11 tools compared: how each is priced, where it runs, and what to consider instead.
| Tool | Pricing model | Free tier | Open source |
|---|---|---|---|
| Fospha E-commerce-leaning marketing measurement platform blending multi-touch attribution with media mix modeling, UK-based. | Quote only | No | No |
| Haus Incrementality-testing platform that runs randomized geo and holdout experiments to measure marketing's causal lift. | Quote only | No | No |
| Lifesight Marketing measurement platform combining multi-touch attribution, media mix modeling and customer data in one suite. | Quote only | No | No |
| Measured Incrementality-testing platform that measures marketing's true causal lift through geo-based experiments rather than modeling clicks. | Quote only | No | No |
| Meridian Open-source Bayesian marketing mix modeling framework from Google, written in Python, for measuring channel ROI and optimizing budget. | Open source + paid | Yes | Yes |
| Northbeam E-commerce-focused multi-touch attribution platform reading from the brand's own data warehouse. | Quote only | No | No |
| Prescient AI Predictive marketing measurement platform for e-commerce that forecasts incremental revenue from spend changes before they happen. | Quote only | No | No |
| Recast Bayesian marketing mix modeling delivered as a managed SaaS, combining statistical MMM with geo experiments. | Quote only | No | No |
| Robyn Open-source semi-automated marketing mix modeling package from Meta, built in R for data scientists to run themselves. | Open source + paid | Yes | Yes |
| Rockerbox Marketing measurement platform combining multi-touch attribution with media mix modeling on the advertiser's own data. | Quote only | No | No |
| Triple Whale E-commerce analytics and attribution hub built around Shopify stores, blending order, ad-spend and profit data. | Subscription | No | No |