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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!!
The text was updated successfully, but these errors were encountered:
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!!
The text was updated successfully, but these errors were encountered: