Two questions - Plotting decomposition over time, and comparing adstock parameter for Robyn vs. lightweight MMM

[NataliaVConnolly]

Hi Team,

I just had two questions about Robyn, and wasn't sure where to post them. Hopefully this is the right place.

1. Is there a way to get the decomposition over time plot like that from lightweight mmm:

2. Is it fair to compare the adstock parameter theta from Robyn with lightweight mmm's 'lag_weight' for a geometric adstock model? The reason I am asking is because I am getting very different values from the two packages. It's true that one is for spends (Robyn) and the other, for impressions/clicks (lightweight MMM), but it's still strange just how different they are. Both packages produce seemingly great fits btw.

   Thank you for your help!
   Natalia

[igorskokan]

Hi Natalia 1. Check pareto_alldecomp_matrix.csv 2. Best to post such questions in the Facebook community group https://www.facebook.com/groups/robynmmm to get opinions from the community esp. when comparing with other packages Another idea would to generate simulated data - for example using siMMMulator - https://github.com/facebookexperimental/siMMMulator and compare the results when you know the ground truth value of parameters?

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On Sun, Jun 23, 2024 at 11:18 PM Natalia Connolly ***@***.***> wrote: Hi Team, I just had two questions about Robyn, and wasn't sure where to post them. Hopefully this is the right place. 1. Is there a way to get the decomposition over time plot like that from lightweight mmm: Screenshot.2024-06-23.at.6.12.26.PM.png (view on web) <https://github.com/facebookexperimental/Robyn/assets/25134879/da145c30-6f24-4f19-8750-4f1cb665d167> 2. Is it fair to compare the adstock parameter theta from Robyn with lightweight mmm's 'lag_weight' for a geometric adstock model? The reason I am asking is because I am getting very different values from the two packages. It's true that one is for spends (Robyn) and the other, for impressions/clicks (lightweight MMM), but it's still strange just how different they are. Both packages produce seemingly great fits btw. Thank you for your help! Natalia — Reply to this email directly, view it on GitHub <#1007>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/ARF52KGMGWYIQGZYHCJK2BDZI5CTTAVCNFSM6AAAAABJYXLO26VHI2DSMVQWIX3LMV43ASLTON2WKOZSGM3DQOJRGM2TENI> . You are receiving this because you are subscribed to this thread.Message ID: ***@***.***>

[laresbernardo]

Re 1, check Robyn::decomp_plot() too.