Important: this tutorial is for users who have access to a GEO-AI project. Should that not be the case for you, please get in touch with us.

First of all, enable "Statistics and heatmaps"

There you will find 2 heatmaps:
- Revenue: This heatmap will be coloured depending on the revenue a new store could make in each cell. The brighter the better.
- Revenue (gain): This heatmap will be coloured depending on the revenue a new store could make in each cell. The brighter the better.

On the map, each bright cell represents an area where a new store could make a high revenue

When I hover on this cell, I can see that opening a store would potentially yield a revenue of 596,000 USD. The overall gain for my brand would be 306,000 due to cannibalisation effect.

When you change to the "Revenue (Gain)", your map will change a lot. The areas in which you already have locations get darker, as opening a store there won't bring you a lot of revenue due to cannibalisation effects.

For instance here, even though a new store would have a revenue of 380,000 USD, the overall marginal revenue for the brand would only be 147,000 USD. The reason is the proximity of the other store: the 2 stores would cannibalise one another. 

The same thing would happen here: the predicted revenue is high.
From the brand's perspective, this store would only bring half as much revenue, as the customers it attracts would come from other stores.

How to read revenue prediction heatmaps