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Robyn

Free#19 of 24 in Marketing Performance Management Software

Robyn: A capable free MMM package for technical teams, not a hosted performance-management suite. Ranked #19 of 24 in Marketing Performance Management Software by our editors (7.3/10); pricing: Free plan; best for technical users wanting free MMM tooling.

7.3/10Editor score
Robyn7.3 Visit Robyn

At a glance

  • Editor score
    7.3 / 10
  • Pricing
    Free plan
  • Best for
    Technical users wanting free MMM tooling
  • Free plan
    Yes
  • Paid from
    Free
  • Budget planning
    Yes
  • Facts checked
    21 Sep 2026
Robyn screenshot
  • Where it wins

    • Free and open source with Windows, macOS, Linux, API, and self-hosted support
    • Automates hyperparameter optimization with adstock and saturation modeling
    • Supports calibration, model comparison, ROI analysis, and budget allocation
  • Where it doesn't

    • Requires technical capability to run and interpret marketing mix models
    • Developer- and analyst-oriented rather than a hosted application
    • The Python implementation is described as beta

Our verdict on Robyn

Robyn is an open-source marketing mix modeling package from Meta Marketing Science. It is designed for in-house analysts, data scientists, advertisers, agencies, and consultancies that can work with granular marketing, sales, organic, contextual, and time-series data. The package covers marketing impact measurement, ROI analysis, model comparison, and budget allocation, with workflows based on R and Python. Its free, open-source model makes it relevant for teams seeking a technical alternative to a managed marketing performance platform.

The standout capability is the breadth of its modeling workflow. Robyn combines automated multi-objective hyperparameter optimization with adstock and media saturation modeling, Ridge regression, and decomposition for trend, seasonality, holidays, and weekdays. Ground-truth calibration can use causal or experimental results, while generated one-pagers support model comparison. These features give technical teams a structured path from granular time-series data to channel-level budget allocation, rather than limiting the package to reporting or descriptive analysis.

Robyn is a strong fit when a team can manage its own modeling environment and interpret the outputs. It supports Windows, macOS, Linux, API, and self-hosted deployments, but it is not positioned as a complete hosted performance-management suite. Teams looking for a managed application with less technical involvement should choose another type of product. The Python implementation is described as beta, so teams selecting that workflow should account for its stated development status. Pick Robyn for flexible, open-source MMM work; look elsewhere when managed delivery is the priority.

Your product? Our editors can test Robyn in depth and publish a review, labelled as paid · from $149/mo →

Robyn pricing

Plans Free planFree Free to use — no paid tier required for the core job.
See plans on facebookexperimental.github.io

Robyn fact sheet

Free planYes
Paid fromFree
Budget planningYes
ForecastingYes
Scenario planningYes
ROI reportingYes
Approval workflowsNot verified
Currency supportNot verified
Planning horizonNot verified
DeploymentSelf-hosted
PlatformsWindows, macOS, Linux
SupportCommunity, Docs
Built forSolo, Small business, Mid-market, Enterprise (editorial estimate)
PricingFree plan
Websitefacebookexperimental.github.io
Facts checked21 Sep 2026

Alternatives to Robyn

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Featured on iTechGuides

Featured on iTechGuides — Robyn 7.3/10

Robyn is listed in our Marketing Performance Management Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

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