With the Smart Recommendation feature, the system automatically recommends relevant products to customers based on the following two data points, significantly increasing your store's conversion rate.
- Customer's order records: Other products frequently purchased by customers who bought this item.
- Product name, product description, and product category: Other products most relevant to this item.
In this article, you'll find:
1. Feature overview
Smart Recommendation automatically generates recommended products based on the following 2 information:
- Customer's order records: Showing the other products bought by customers when buying this product.
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Product name; product description; product category: Other products that are most relevant to this product.
2. Feature setup
In the SHOPLINE Admin, go to [Products & Categories] > [Products] and click Edit next to the product to be edited.
On the edit page, select the "Info" tab. Scroll down to Related Products to enable the Smart Recommendation feature.
3. Notes
- Smart Recommendation generates a selection of products based on the past shopping behavior of all customers.
- To increase the diversity of recommended products, customers might view a different range of relevant products when browsing the same product page using the same browser.
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Smart Recommendations are updated daily or in real-time:
- Daily: Customer behavior data, such as browsing, clicks, and purchase information, is collected to recommend products that most customers are likely to be interested in.
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Real-time:
- Information on products currently being browsed by all customers is gathered to recommend similar products to the customer.
- Data on products previously clicked or purchased by all customers is used to generate personalized recommendations for the customer.
- Add-ons, free gifts, and product sets will NOT be included as recommended products.
- Out-of-stock, hidden, or deleted products will not be recommended (after a product is sold out or its availability status changes, the system will update the recommendation results within 1 hour).
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