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
Use Recommendations in Campaigns
You can personalize recommendations while creating the campaign in two ways:- Custom HTML Editor
- Drag and Drop Editor
- 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 @.
- On the Personalization dialog box, click the Data personalization tab.
- In the Select Attribute list, click the required set under Product sets and click Done.
- 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.
- Click Preview.