> ## Documentation Index > Fetch the complete documentation index at: https://moengage-analytics-query-api-docs.mintlify.site/llms.txt > Use this file to discover all available pages before exploring further. # Personalize Content Using Recommendations > Add personalized product recommendations to your MoEngage campaigns so users discover relevant items, improving engagement and conversion rates. # Overview Recommendations are a group of related products often sold or marketed together. They are common in e-commerce, retail, and digital platforms. They help users by: * **Ease of discovery**: They can quickly find related products within a set, simplifying navigation in large catalogs. * **Simplified decision-making**: Offer curated options, making it easier for them to choose products that meet their needs. * **Enhanced user experience**: Bundling related items into sets reduces the time spent searching for complementary products. Personalized recommendations tailor the selection of products based on user preferences or purchase history, benefiting them by: * **Relevant recommendations**: They see products that better match their needs. * **Increased satisfaction**: Personalized sets align with their interests, improving engagement. * **Better value**: They receive tailored discounts or bundles, enhancing the perceived value. * **Efficient cross-selling**: Suggests complementary products, encouraging additional purchases. # Channels That Support Personalization Recommendations | Channel | Supports Personalization? | | ------------------- | ------------------------- | | Push | Yes | | Email | Yes | | SMS | Yes | | In-app Messaging | Yes | | On-site Messaging | Yes | | Cards | Yes | | Connector | Yes | | WhatsApp | Yes | | Facebook Audience | No | | Google Ads Audience | No | # Use Recommendations in Campaigns You can personalize recommendations while creating the campaign in two ways: 1. While creating content, on the **Custom HTML Editor** tab, hover over the required template and then click **Choose** to open the editor.

2. In the **Template Editor** section, type *@*. 3. On the **Personalization** dialog box, click the **Data personalization** tab.

4. In the **Select Attribute** list, click the required set under **Product sets** and click **Done**.

5. In the **Template Editor** section, type *@* to select the required product set and write the Jinja code to fetch the list of product set attributes and send the product set in the communication based on user preferences. personalization@jinjaproductset.gif

6. Click **Preview**. Screenshot 2024-11-25 at 2.24.05 PM (1).png

1. While creating content, on the **Drag and drop editor** tab, hover over the required template and then click **Choose** to open the editor.

2. In the template editor section, on the **ROWS** tab, click *Product Sets* in the list. 3. On the **ADD PRODUCT SET ROW** dialog box, in **Select product set** list, click the defined product set and click **Create**.

4. Expand the **Row layout** accordion and click the required row layout.

5. Expand the **Product Block Layout** accordion and click the required product block layout.

6. Expand the **Information Mapper** accordion and define the information mapper.

7. Click **Create**. 8. Drag and drop the defined product sets on the template.

9. Select **Preview.** Select Preview

# Personalize Campaigns with Recommendations You can personalize campaigns using predefined catalogs and product sets. For more information, refer to the following articles: * [Personalizing Email campaigns using Recommendations](/user-guide/content/recommendations/personalize-campaign-with-recommendations/using-recommendations-in-email) * [Personalizing Push campaigns using Recommendations](/user-guide/content/recommendations/personalize-campaign-with-recommendations/using-recommendations-in-push) * [Personalizing On-Site Messaging campaigns using Recommendations](/user-guide/content/recommendations/personalize-campaign-with-recommendations/using-recommendations-in-on-site-messaging)