Use it for
- Useful to specialist measurement teams evaluating cross-channel investment.
Before you open it
Open-source package; compute and analyst time required.
- Python environment, modelling expertise, prepared aggregated KPI/media/control data; GPU recommended.
- The README specifies Python 3.11-3.13, while main-branch pyproject.toml declares Python >=3.10. Check a pinned release and its dependency compatibility before installation.
- Linux GPU or CPU; macOS CPU with no official macOS GPU support.
Supporting links
The people behind the resource
- Google Meridian Marketing Mix Modeling TeamOriginal 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.
Apache-2.0.
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: 2 September 2026.
- No installation, dependency compatibility test, data upload or model execution performed.
- v2.0.0 includes breaking changes; existing pipelines require migration review.
- Source update 2026-09-02 is the v2.0.0 changelog date, not independent verification of the PyPI publication date. Default-branch metadata and release dependencies can differ.
- Results depend on modelling assumptions, data quality and calibration; this is an advanced analytical workflow.



