mmm-attribution

Name: mmm-attribution
Rating: 5 (3 reviews)
Author: Yakoub-ai

Channel attribution, ROAS calculation, contribution decomposition, and results interpretation for Marketing Mix Models. Use when extracting channel contributions, calculating return on ad spend, generating response/saturation curves, interpreting model outputs, assessing channel effectiveness, decomposing the target variable into components, or presenting MMM results to stakeholders. Also activate

3stars

Updated 23 days ago

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MMM Attribution & Results Interpretation

Extracting Channel Contributions

Original Scale Contributions (0.19.1+ verified pattern)

# channel_contribution is in idata.posterior in normalized [0,1] scale after fit()
# Multiply by target_scale to convert to original scale
cc = model.idata.posterior["channel_contribution"]  # dims: (chain, draw, date, channel)
target_scale = float(model.get_scales_as_xarray()["target_scale"].values)
contrib = cc * target_scale  # dims: (chain, dr

[Description truncada. Veja o README completo no GitHub.]

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