lightweight_mmm

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I'm looking to make a partially pooled media variable. Such that Facebook and TV ads can not only get separate priors, but be pooled such that the individual coefficient for...

Msettnes

Have issues with plot.plot_media_channel_posteriors(media_mix_model=mmm)

5

I am running the dummy data for lightweight MMM, and when I run the code, below is the error message. I just started using lightweight MMM today. so everything should...

DongHarry-Kang

Media contribution percentage sums up to 105%

1

I've built a few models (they converged) and I've noticed this with all of them. When you sum the media contribution percentage (the dataframe is obtained using plot.create_media_baseline_contribution_df) from all...

Aanai

Question: How to model time dependent features in the fit and predict method?

2

I have been experimenting a bit with LightweightMMM and marketing mixed models and came across this blog post. https://docs.google.com/spreadsheets/d/1A5XqvMegNanQTVsr7mhHP_BcjwoDSh1D9ZgDxKUvb4A/edit?pli=1#gid=0 https://getrecast.com/seasonality/ > we model an ROI for every channel, for every...

MarkusSagen

fix: align xticks in barplot with multiple labels for budget compare …

1

This PR fixes the alignment for compare budget when there are multiple labels ### Before ### After

MarkusSagen

This PR is related to https://github.com/google/lightweight_mmm/issues/154 and PR https://github.com/google/lightweight_mmm/pull/260 It adds flexibility to customise the barplot by passing an optional config mapping

MarkusSagen

In a blog post from PyMC marketing and Recast, there have been discussions regarding implementing time-varying coefficients to account for how seasonality effects marketing in a more deliberate way -...

MarkusSagen

Nested modeling

2

Hi, After building the MMM model, I realized that it tends to underestimate the effect of some top-of-funnel channels which are mainly used for acquisition (Paid Social , TV) and...

ar-asur

Why Pre and Post Budget Allocation do not change?

7

I ran a model with R2 = 0.72 but when I run the budget optmization the value pre and post is the same.  

Gabrielj96

Different prior distributions for different media channels on same coefficient

2

Hi, thank you for your hard work! Reading through the documentation and the code base I can see how we can set custom priors for the coefficients of the regression....

l-d96