GitHub topics: media-mix-modeling
pymc-labs/pymc-marketing
Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.
Language: Python - Size: 997 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 823 - Forks: 263
leopoldavezac/BayesianMMM
(ml) - python implementation of bayesian media mix modelling with shape and carryover effect
Language: HTML - Size: 2.53 MB - Last synced at: 4 months ago - Pushed at: over 3 years ago - Stars: 57 - Forks: 26
sibylhe/mmm_stan
Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS
Language: Jupyter Notebook - Size: 2.46 MB - Last synced at: 5 months ago - Pushed at: almost 3 years ago - Stars: 352 - Forks: 163
alexhallam/media_mix_sim
Media Mix Model with simulated data and stan
Language: Stan - Size: 2.7 MB - Last synced at: about 1 month ago - Pushed at: about 5 years ago - Stars: 6 - Forks: 5
guptasaumya/media-mix-modelling-analysis
Analysing the challenges and opportunities in Media Mix Modelling using sales and media spending time series data.
Language: Jupyter Notebook - Size: 2.15 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 3
