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Introduction to Product Recommendations

Product recommendations are a powerful marketing tool that you can use to increase conversions, boost revenue, and stimulate shopper engagement. ۶Ƶ Commerce product recommendations are powered by , which uses artificial intelligence and machine-learning algorithms to perform a deep analysis of aggregated visitor data. This data, when combined with your ۶Ƶ Commerce catalog, results in a highly engaging, relevant, and personalized experience.

Product recommendations are surfaced on the storefront as units with labels, such as “Customers who viewed this product also viewed”. You can create, manage, and deploy recommendations across your store views directly from the ۶Ƶ Commerce Admin.

If your storefront is implemented using PWA Studio, refer to the . If you use a custom frontend technology such as React or Vue JS, learn how to integrate Product Recommendations into your headless storefront.

NOTE
There are many ways to develop a headless or custom implementation. This guide describes one way of doing so, using PWA Studio. It does not cover all scenarios or eventualities.

Privacy

Data collection for the purposes of Product Recommendations does not include any personally identifiable information (PII). Also, all user identifiers like cookie IDs and IP addresses are strictly anonymized. To learn more, see the .

Product Recommendations users can refer to the Data Management Dashboard for more