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,
I would like to ask what is the correct interpretation of factorial variables used in Robyn? When I look at the waterfall graph, do I compare its effect with average category, or with a default one. If the latter is correct, how do I find out which one has been set as the default, and possibly change it?
And lastly, when I have more than one category, where can I find effect of each of them?
Thanks!
Hi, I would like to ask what is the correct interpretation of factorial variables used in Robyn? When I look at the waterfall graph, do I compare its effect with average category, or with a default one. If the latter is correct, how do I find out which one has been set as the default, and possibly change it? And lastly, when I have more than one category, where can I find effect of each of them? Thanks!