Now, you also see periods where people are priced higher than our reactive model would recommend. In this case what you can see is there is a really slow period, relative to our market. So, the reactive model is really good at just looking at your booking signals and making adjustments.
Now, we run the reactive model every single night, we’re always making adjustments. And if you want to breakout the signals behind or the reasons behind price recommendations we can show you that for the reactive model just like we can for the predictive model as well.
This is a really powerful addition to your tool set. Again this is our automated model. When you automate pricing with Wheelhouse, you’re taking advantage of both the predictive and the reactive model. They’re combined really nice together.
Imagine you could understand how your market is booking on any given day, and you could see every booking near you. Well, the nice thing is, with Wheelhouse, you don’t really have to imagine it.
We’re actually, truly helping you with that. If you want to learn more about how our reactive demand model works. You can go to our blog, you can read about it here
. This will give you more insights on how the reactive model is working all day long to price your listings perfectly.