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Response curves' KPI is way smaller than the X axis which is spend but it should be the other way around considering that ROI and contribution are on point. This is really weird that I am spending more than I'm getting. The model i am using is hill_adstock
My code: plot.plot_response_curves(steps=52, media_mix_model=mmm, media_scaler=media_scaler, target_scaler=target_scaler, figure_size=(15,10))
I have 5 features and more than 20 extra features.
This is the ROI
the problem is somewhat similar to Issue #51
The author suggested an alternative solution, i am not sure if that solution would work for my case, tried, but failed to implement it.
The text was updated successfully, but these errors were encountered:
@MuhammedTech
Hi~ Can I ask you something if you don't mind? You said you put in 20 extra features, but I wonder what you put in. If the target is order, can I also include data such as visit, revenue, and cart add?
Hi,
Response curves' KPI is way smaller than the X axis which is spend but it should be the other way around considering that ROI and contribution are on point. This is really weird that I am spending more than I'm getting. The model i am using is hill_adstock
My code:
plot.plot_response_curves(steps=52, media_mix_model=mmm, media_scaler=media_scaler, target_scaler=target_scaler, figure_size=(15,10))
I have 5 features and more than 20 extra features.
This is the ROI
the problem is somewhat similar to Issue #51
The author suggested an alternative solution, i am not sure if that solution would work for my case, tried, but failed to implement it.
The text was updated successfully, but these errors were encountered: