Last seen

This type of recommendation consists of the products which the customer has already seen. The system is notified once the user visits the website of a particular product and on the basis By displaying such products, you can shorten the customers’ journey as they see the offer with which they have already got acquainted with.


Requirements

  • Product feed delivered
  • Integration of events via AI tracking or API
  • Periodic transaction updates (one week history)
  • Online data stream including different channels if possible (recommended)
  • Product page views (at least 3-month history)
Note: Further information about AI configuration available at the link.

Configuration


In order to start configuration of the recommendation type, go to: Campaigns > Recommendations > Create recommendation

Once you choose Recommendations, you will see the list of all recommendations you have created so far. Each recommendation is marked with a tag that indicates the status of the created recommendation (either as draft or active). Recommendations can be edited or deleted at any time.

Click Create recommendation to start the process of configuration.


Choose recommendation type

Image presents the editor of AI recommendation and the possible choices of AI recommendation types which take form of squares.

This is the place where you can choose the kind of recommendation type you want to create. In this case, choose last seen.

  1. Name - Click the pencil icon to assign a name to the recommendation you’re creating.
  2. Recommendation types - You can choose from six types of recommendations: cross sell, similar products, personalized recommendations, visual similarity, top products, and last seen.
Note: Some recommendation types may not be available due to your account configuration. Inactive recommendations will be marked with a grey color.

Select number of products

Image presents two text fields to be filled with numerical values.

Decide how many products you want to display. Choose the minimum and maximum value.


Save

The next step you can take is to either: save and activate or save your recommendation as a draft.

Image presents list of the bar with three buttons that enable preview of recommendations, saving a draft and saving active campaign.

  1. Finish later - If you don’t have enough time to finish the configuration of the recommendation, you can save it as a draft by clicking this button.
  2. Save - If you are ready with the recommendation, you can activate it by clicking the button.

Add recommendation to campaign

  • Email
  • Dynamic content
  • Web push
  • Mobile push

You can add recommendations to emails, webpushes, mobile pushes and on the website as a dynamic content. Decide what kind of campaign you want to incorporate the recommendation into. Regardless of the campaign type you have chosen, proceed to the content of the campaign (for example, an email). You can create a template from scratch or use already existing one. After you make your selection, continue to the editor.

Image presents the editor divided into two parts. The left part is a preview, right part is a section of three text field in which you can paste the HTML, CSS or JS code.

Once you get to the editor, choose + Inserts and find the AI suite.

Image presents the pop-up window with opened AI folder, there is a list of AI recommendation, chosen recommendation opens a section for code which you can copy to clipboard or get HTML code.

  1. AI suite - After you click this option, you will find all recommendations you have created so far.
  2. Select one recommendation. You can add as many recommendations as you like, however, you can choose only one at a time. Once you select it, you can see its code.
  3. Click the icon to copy the code, which you need to paste to the text field intended for HTML code. As a result, you will get raw product recommendations, which is a default template prepared in the application that is ready to be used.
  4. Get HTML code - Click to receive the HTML code of product recommendations which you can later edit according to your preferences.

Image presents the pop-up with HTML code.

As a result you get the code which you need to copy to the clipboard so you can paste it later to the section with HTML code.

Image presents the editor divided into two parts. The left part is a preview, right part is a section of three text field in which you can paste the HTML, CSS or JS code.

Edit the content and confirm that you want to use it in the campaign when you're done.

If you're ready with your campaign it can be sent to your customers and the basic statistics can be checked on the list of campaigns.


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