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google / lightweight_mmm

LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
https://lightweight-mmm.readthedocs.io/en/latest/index.html
Apache License 2.0
865 stars 177 forks source link

Response curve questions #252

Open rajat-barve opened 1 year ago

rajat-barve commented 1 year ago

I am using hill_adstock LMMM with weekly spend. I have some questions about it. Can someone knowledgeable please answer these? 1) The response curves that are returned, which half-saturation and slope parameters are they based on? Is it the posterior mean for both? 2) Is there a way to show on the graph where we are located currently?

elisakrammerfiverr commented 9 months ago

@rajat-barve did you find the answers to your question 1. and 2. ? I am also interested