Modeling adstock in media mix modeling using Weibull transformations.
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Dec 18, 2019
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adstock
Here are 6 public repositories matching this topic...
Simba — Bayesian Marketing Mix Modeling (MMM) platform. Media attribution, budget optimization, incrementality measurement, and scenario planning. Built on PyMC-Marketing. No-code, fully transparent, enterprise-ready.
pymc bayesian mmm marketing-science marketing-analytics marketing-mix-modeling budget-optimization incrementality attribution-modeling adstock media-planning media-mix-model media-attribution roi-measurement pymc-marketing
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Apr 1, 2026 - Jupyter Notebook
Marketing Mix Modeling (MMM) in Python: ridge regression with adstock & saturation, attribution metrics, and a simple budget optimizer.
python attribution ci sklearn pandas pytest ridge-regression saturation mmm marketing-mix-modeling adstock media-mix
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Nov 24, 2025 - Python
Reproducible Marketing Mix Modeling (MMM) pipeline with adstock optimization and ROI-based budget allocation simulation using Python.
python data-science time-series econometrics mmm marketing-analytics marketing-mix-modeling regression-modeling budget-allocation adstock roi-optimization
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Feb 11, 2026 - Jupyter Notebook
India-market Marketing Mix Modeling on 104 weeks of synthetic weekly spend data across 6 channels — recovering channel ROAS with adstock + saturation and recommending a quarterly budget reallocation plan.
python saturation mmm marketing-mix-modeling performance-marketing budget-optimization adstock india-marketing
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Apr 27, 2026 - Python
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