Use it for
- An alternative for specialist teams evaluating aggregate channel contribution and budget scenarios.
Before you open it
Open-source package; technical setup and modelling work required.
- Prepared granular marketing and outcome data, R/Python setup and modelling expertise.
- R workflow with Python Nevergrad dependency; Python implementation marked beta.
Supporting links
The people behind the resource
- Meta / Robyn maintainersOriginal resource
Resource notes and library artwork curated by Paid Media Collective. The original work belongs to the contributors credited above. Inclusion does not imply a partnership or a member submission.
MIT.
Source review and practical limitations
Source reviewed · 6 September 2026. We reviewed the source to the level stated here; tools, courses and account workflows have not been tested end to end.
Update date shown by the source: 19 December 2024.
- Experimental package; Python beta is described as potentially buggy.
- Latest published GitHub release is not proof of the latest default-branch code change.
- Models and allocations were not run or validated.
