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First off, thank you to the development team for creating this open source package.
I am wondering if there is any way to decipher/measure the synergistic impact between independent variables in the Robyn models. In the past, I've been able to do this using multiplicative modeling, however it appears Robyn only runs linear regression models, so I can't think of a way to do this in a linear model.
Example 1: Synergy between a media channel execution and seasonality. In low seasonal periods, the impact would be low due to the low natural demand during that time of year. But in high seasonal periods, the natural demand would be increased, and there
Example 2: Synergy between different media channels. The impact of TV and Radio ads during the same time may have a higher combined impact than the sum of both when executed separately during different time periods.
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Hi,
First off, thank you to the development team for creating this open source package.
I am wondering if there is any way to decipher/measure the synergistic impact between independent variables in the Robyn models. In the past, I've been able to do this using multiplicative modeling, however it appears Robyn only runs linear regression models, so I can't think of a way to do this in a linear model.
Example 1: Synergy between a media channel execution and seasonality. In low seasonal periods, the impact would be low due to the low natural demand during that time of year. But in high seasonal periods, the natural demand would be increased, and there
Example 2: Synergy between different media channels. The impact of TV and Radio ads during the same time may have a higher combined impact than the sum of both when executed separately during different time periods.
I appreciate any input.
Thanks.
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