# Favourite Filters

The **Favourite Filters** feature lets you save and reuse filter configurations in any table view across Open Loyalty. Whether you're managing **Members**, **Rewards**, **Transactions**, or other modules, saved filters help you work faster and stay organised.

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### 🔍 Creating and Saving a Filter

1. Click **Add filter** in any view that supports filtering.
2. Set your filter conditions.
3. Click **Save this filter**.
4. Provide a name and click **Save**.

<figure><img src="https://2658975168-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FcNVX03KZzmrGwJihLiEx%2Fuploads%2Ff4ikZZVGO1kQwn2o0p4V%2Fimage.png?alt=media&#x26;token=450bfbed-03b3-494e-b932-226852b0dd9d" alt=""><figcaption></figcaption></figure>

{% hint style="warning" %}
**Each filter is saved per user and available only to the user who created it.**
{% endhint %}

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### ⭐ Applying a Saved Filter

1. Open the module with **Saved filters**.
2. Choose your saved filter from the tab.
3. The view will automatically update to reflect the selected conditions.

<figure><img src="https://2658975168-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FcNVX03KZzmrGwJihLiEx%2Fuploads%2FMedjKtzpAL8C0Rw54uoB%2Fimage.png?alt=media&#x26;token=04d53f8d-5cba-492b-b23f-34ccd46d770b" alt=""><figcaption></figcaption></figure>

This allows you to switch between common filter views with a single click.

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### ⚙️ Managing Saved Filters

You can rename or delete your saved filters directly in the dropdown:

1. Hover over a filter name in the **Saved filters** menu.
2. Click the **three-dot icon**.
3. Select **Rename filter** or **Delete filter**.

<figure><img src="https://2658975168-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FcNVX03KZzmrGwJihLiEx%2Fuploads%2FXpDSSZMID2XwxU8sLd2X%2Fimage.png?alt=media&#x26;token=1cd1ed09-1942-41de-9e7b-3f28a03ef06a" alt=""><figcaption></figcaption></figure>

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### 🔁 Where You Can Use Favourite Filters

Favourite Filters are available in most key module views across Open Loyalty.

Use them to save time and maintain consistency when reviewing or exporting specific data sets.