Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.
Hi. Thanks for making this package. It's really cool.
I am having weekly data which has media spend and conversions.
I have inputted the data and run the robyn_outputs() to find good models.
Based on a selected model how to get the conversion for a particular channel for a given spend and considering last n weeks of adstock effect? Without adstock is also fine (In this case basically output of hill function for the input spend)
Example:
There are 3 channels channel_A, channel_B and channel_C and conversions on weekly level.
After robyn_outputs(), I have selected a model. For this model how to find the conversion for given spend=30K for the channel_A with or without adstock?
Hi. Thanks for making this package. It's really cool.
I am having weekly data which has media spend and conversions. I have inputted the data and run the robyn_outputs() to find good models.
Based on a selected model how to get the conversion for a particular channel for a given spend and considering last n weeks of adstock effect? Without adstock is also fine (In this case basically output of hill function for the input spend)
Example:
There are 3 channels channel_A, channel_B and channel_C and conversions on weekly level. After robyn_outputs(), I have selected a model. For this model how to find the conversion for given spend=30K for the channel_A with or without adstock?
Thanks Anyways!!