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pymc-labs / pymc-marketing

Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.
https://www.pymc-marketing.io/
Apache License 2.0
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Hierarchical Market Mix Modeling #497

Open shuvayan opened 5 months ago

shuvayan commented 5 months ago

Hello Rockstars,

I am trying to develop a hierarchical bayesian regression model across separate cities by following the below article :

[(https://towardsdatascience.com/bayesian-hierarchical-marketing-mix-modeling-in-pymc-684f6024e57a#:~:text=Bayesian%20Marketing%20Mix%20Modeling%20in%20Python%20via%20PyMC3&text=The%20Bayesian%20approach%20works%20exceptionally,example%2C%20spendings%20across%20several%20countries%3F)]

This doesn't work though due to some data structure issue with aesara tensor and hence I was looking for something within the DelayedSaturatedMMM framework. / Can someone please let me know if there is way to implement Hierarchical models using DelayedSaturatedMMM?

cetagostini commented 5 months ago

Hey @shuvayan,

Just wanted to let you know that we're working on an update for the delayed saturated MMM. You can check out the progress here #460 . It's not quite ready yet, but you can use it as inspiration to create your own custom model in the meantime. We're planning to merge it in the next few weeks probably.

Best,

shuvayan commented 5 months ago

Hello Pymc-Labs/Pymc-Marketing,

Thank you so much for letting me know. I am eagerly waiting for the update and raring to apply it on our use case.

We know that Robyn does not have this feature and that excites us more as we are a Py team.

All the best!!

On Wed, 24 Jan 2024, 21:45 Carlos Trujillo, @.***> wrote:

Hey @shuvayan https://github.com/shuvayan,

Just wanted to let you know that we're working on an update for the delayed saturated MMM. You can check out the progress here #460 https://github.com/pymc-labs/pymc-marketing/pull/460 . It's not quite ready yet, but you can use it as inspiration to create your own custom model in the meantime. We're planning to merge it in the next few weeks probably.

Best,

— Reply to this email directly, view it on GitHub https://github.com/pymc-labs/pymc-marketing/issues/497#issuecomment-1908458018, or unsubscribe https://github.com/notifications/unsubscribe-auth/AC2NL5O2KO54DC6ZLK64EPLYQEXTRAVCNFSM6AAAAABCGZBF42VHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTSMBYGQ2TQMBRHA . You are receiving this because you were mentioned.Message ID: @.***>