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.
- 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 |
| Yes | |
| SMS | Yes |
| In-app Messaging | Yes |
| On-site Messaging | Yes |
| Cards | Yes |
| Connector | Yes |
| Yes | |
| Facebook Audience | No |
| Google Ads Audience | No |
Use Recommendations in Campaigns
You can personalize recommendations while creating the campaign in two ways:- Custom HTML Editor
- Drag and Drop Editor
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While creating content, on the Custom HTML Editor tab, hover over the required template and then click Choose to open the editor.

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

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

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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.

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Click Preview.







