Best practices for getting the most out of Aqurate Personalize by offering your users a personalized experience.
Nowadays, most online shoppers are expecting a personalized shopping experience.
When customers experience this kind of personalization, they are driven to spend more money on your website. This translates into increased conversion rate, average order value, and customer retention.
Using product recommendations on your eCommerce shop helps you achieve three main goals:
- Product discovery, leading to a higher 🎯 Conversion Rate (CR)
- Basket improvement, leading to a higher 🎯 Average Order Value (AOV)
- Loyalization, leading to a higher 🎯 Customer Lifetime Value (CLV)
How to mix and match the product recommendations and website pages for the best marketing outcome
Aqurate Personalize comes with several types of product recommendations that can be accessed after your eCommerce shop was linked to Aqurate.
You can choose which product recommendations you want to display on your website, as well as the pages you want to display them on.
In order to make this process easier, we've put together some usage suggestions and the impact that each type of recommendations has on your marketing goals.
Types of product recommendations
Below are all the available product recommendations you can use on your website, detailed by business impact, the API Endpoint that activates them, and where each of them should be displayed.
Popular now
The best-selling products from all categories.
🎯 Business impact | 📖 API Endpoint | 📌 Location |
Improve conversion rate | /recs/bestseller | Homepage |
New in store
The newest added products from all categories.
🎯 Business impact | 📖 API Endpoint | 📌 Location |
Improve customer lifetime value | /recs/new | Homepage |
Popular in category
The best-selling products from a specific category.
🎯 Business impact | 📖 API Endpoint | 📌 Location |
Improve conversion rate | /recs/category/bestseller | Category page |
These are the same recommendations as the Popular in same category ones, but use the category_id as parameter, instead of the product_id.
New in category
The newest added products from a specific category.
🎯 Business impact | 📖 API Endpoint | 📌 Location |
Improve conversion rate | /recs/category/new | Category page |
Alternative products
The most relevant product recommendations for a specific product, from the same category.
🎯 Business impact | 📖 API Endpoint | 📌 Location |
Improve conversion rate | /recs/item/substitutes | Product Detail Page |
⚠️ To avoid duplicate recommendations, do not use the Alternative products recommendations on the same page as Upsell to.
Frequently bought together
The most relevant product recommendations for a specific product, from all categories except the same category.
🎯 Business impact | 📖 API Endpoint | 📌 Location |
Improve average order value | /recs/item/cross-sell |
Product Detail Page |
Upsell to
The most relevant product recommendations for a specific product, from the same category, with a price at least 10% higher.
🎯 Business impact | 📖 API Endpoint | 📌 Location |
Improve average order value | /recs/item/up-sell | Product Detail Page |
⚠️ To avoid duplicate recommendations, do not use the Upsell to recommendations on the same page as Alternative products.
You may also like
The most relevant product recommendations for a specific product, from all categories.
🎯 Business impact | 📖 API Endpoint | 📌 Location |
Improve conversion rate | /recs/item/similar |
Product Detail Page |
⚠️ To avoid duplicate recommendations, do not use the You may also like recommendations on the same page as Alternative products, Upsell to, or Frequently bought together.
Popular in same category
The best-selling products from the same category as the requested product.
🎯 Business impact | 📖 API Endpoint | 📌 Location |
Improve conversion rate | /recs/item/bestseller-in-same-category | Product Detail Page |
These are the same recommendations as the Popular in category ones, but use the product_id as parameter, instead of the category_id.
Recommended for you
The most relevant product recommendations for a specific user, based on his purchase history.
🎯 Business impact | 📖 API Endpoint | 📌 Location |
Improve conversion rate Improve customer lifetime value |
/recs/user | Homepage |
Recently viewed
Products that a specific user has recently viewed.
🎯 Business impact | 📖 API Endpoint | 📌 Location |
Improve conversion rate | /recs/user/visits | Homepage |
Recently bought
Products that a specific user has recently bought.
🎯 Business impact | 📖 API Endpoint | 📌 Location |
Improve customer lifetime value | /recs/user/orders | Homepage |
Questions about getting started? We're excited to help: support@aqurate.ai