> For the complete documentation index, see [llms.txt](https://documentation.crossengage.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://documentation.crossengage.io/predictions-platform/tutorials/predict-campaign-profit.md).

# Predict Campaign Profit

Click on the Prediction Tab in the top right corner of your screen.

From the dropdown Menu, choose the Model you wish to create a Prediction for.

<figure><img src="/files/gnsywMkaoi5ILzUdfiwg" alt=""><figcaption></figcaption></figure>

#### Enter Commercial Data

* Click on the Edit button in the Header.
* Give your Selection a meaningful name.
* Enter Contact Cost. This is the Cost per Customer contact, for example, in a Print Campaign this can be the cost of printing and shipping Marketing Material per Customer.
* Enter Overhead Cost. This is the sum of all One-time costs for the Campaigns, for example, the design cost of the Marketing Material.
* If your Prediction optimizes for Conversion rather than Revenue, enter Average Order Value. This is the mean amount paid by customers for an Order.
* Enter Average Profit Margin. This helps the Predictions Platform understand how much revenue turns into Gross Profit.
* Scroll to the bottom of the Edit Window and click 'Apply' to save the commercial data for the **current** prediction. Alternately, you can click the Save button next to the Commercial Data; This saves the data for **all** predictions.

<figure><img src="/files/RKezFHiLnzjjule8WbXZ" alt=""><figcaption></figcaption></figure>

#### Make a Selection

* To automatically set Optimum Selection Size, click on "Optimize for Profit". YOu can see the number of the customers present in the Optimal Selection.
* Optionally, deselect "Optimize for Profit", and manually enter the preffered number of customers for the Campaign.
* Click Export.