Product Recommendations for Email

This topic contains 0 replies, has 1 voice, and was last updated by  Keiko 2 weeks, 5 days ago.

  • Author
    Posts
  • #26106

    Keiko
    Participant
    • Topics: 5
    • Total posts: 6
    Registered MemberCreate 3 New Forum Topics

    Product recommendations are a separate block in the email that displays recommended items based on the algorithms you set. Its appearance may differ, but whatever it is, the block consists of product cards with certain information – product image and name, and optionally price and CTA. The content for this block is taken straight from the website so all the info is inserted automatically. It’s up to you to configure the number of cards, their placement and appearance.

    Email product recommendations can be bulk and personalized. The bulk are often used in promo campaigns and in messages to new users on which you don’t have enough behavioral data. Personalized recommendations are most often put in triggered campaigns: abandoned browse, abandoned cart, order confirmation, etc.

    You can show recommended items based on different algorithms:

    – Bestsellers;
    – Most viewed;
    – Similar products;
    – Personal recommendations;
    – New arrivals;
    – Price drop, etc.

    For bulk recommendations, the product recommendation system picks the most relevant random items; personalized recommendations are built based on the particular recipient website behavior (visits, views, orders, abandoned carts) that is monitored via web tracking.

    In the email, the block with recommendations often has a title:

    – You may also like;
    – People who viewed this also bought;
    – Our favorites;
    – Recommended for you;
    – Essentials;
    – Back in stock;
    – Sales;
    – Limited edition
    – You can also come up with any custom text that fits your campaigns

    Product recommendations can be used in all types of email – from welcome to post-purchase – where they may serve different purposes:

    – Introduce new products;
    – Focus on a certain product category;
    – Focus on sales or discount offers that otherwise can be missed;
    – Complement selected items;
    – Increase the average order value;
    – Add content to the copy.

You must be logged in to reply to this topic.