# Campaign optimisation using app/site

#### **Steps how to do it:**

1. Press the three dots on the campaign you want to optimize.
2. Select **Targeting Optimisation**.
3. Change the filter to optimise by **App/Site Name**.
4. Choose a period.
5. Press **Search**.

By following the mentioned steps you will see this table. There is an option to filter out by concrete app/site names on the right corner. The optimisation could be done by turning off app/sites that are not performing based on the secondary KPIs (viewability/ CTR and etc.)

**Action column meanings:**

- Play (red) - The site/app is not bidding and user can start bidding on this site/app by clicking on the play icon
- Pause (green) - The site/app is bidding and user can stop bidding on this site/app by clicking on the pause icon

[![Screenshot 2025-09-15 at 16.18.39.png](https://manual.eskimi.com/uploads/images/gallery/2025-09/scaled-1680-/SZ9X0oN7FtcrIRPO-screenshot-2025-09-15-at-16-18-39.png)](https://manual.eskimi.com/uploads/images/gallery/2025-09/SZ9X0oN7FtcrIRPO-screenshot-2025-09-15-at-16-18-39.png)

#### **Advance filter in campaign optimisation**

In campaign optimisation page there is an advance filter. Using this there is a possibility to filter data more efficiently:

- There is an option to add as many filter (rows) we want by clicking on **Add new dimension or metric**
- To add a new row we get 2 options, AND & OR 
    - AND: Both of the logics have to be true(rows around it) at the same time
    - OR: Any one of the logics must be true (rows around it)
- We can include/ exclude to include/ exclude any condition

Example: We can exclude apps/sites for which impressions are less than 100000

[![soPbqdoz3U60hhEy-image-1634138955095.png](https://manual.eskimi.com/uploads/images/gallery/2025-09/scaled-1680-/Yx9lJnlZfqNXJrmj-sopbqdoz3u60hhey-image-1634138955095.png)](https://manual.eskimi.com/uploads/images/gallery/2025-09/Yx9lJnlZfqNXJrmj-sopbqdoz3u60hhey-image-1634138955095.png)

- Using the source/ medium filter we can use Bids, impressions, Win Rate, Views, Viewability, Clicks, CTR, Conversions, CR, CPM, CPC, CPA and Spent
- Using the containing filter and value filter we will be able to complete the logic. In containing we will use the relation with the value.