Recommendation Engine

To add a Recommendation Engine to the email, drag the instrument, move it to the desired part of the email, and then drop it.

The settings window will appear.

RE%20setting

Paste the URL of your product feed in the format from the example below. Alternatively, you can use mock-up data from the demo at https://4url.cloud/mock-rss or https://4url.cloud/mock-atom. When you click on the "i" icon, you will see a detail. Filling in the URL address is mandatory.

20b

Set the number of recommended products and choose how to react when the recommendation is missing.

Choose the parameters you want to display in your message. This step is mandatory.

23b

Recommendation Model

Click on the "Recommendation model" icon in the left menu.

RE%20modely

Choose the type of model you want to use.

Re%20modely2

The "Relevance" model recommends the most suitable products for each customer according to their preferences.

The "Novelty" model penalizes the most purchased products. In this way, relevant products that are not purchased so often are placed first in the recommendations.

The "Diversity" model adjusts the product order so that the relevant product is placed first and the different product, for example, from a different category or type, is placed second.

In the "Equally" model, all factors—Relevance, Novelty, and Diversity—have the same weight. Products are therefore recommended based on a balance between these three parameters.

Click on “Professional Settings” and select which parameter (Novelty or Diversity) will have a higher value.

professional%20setting