Elevate can deliver AI-based product recommendations. 

Add a custom data source

A custom data source is required. This is done in the Configure Engage area of your Engage UI.

Name: Enter "Elevate classic" here. This is the name shown in the Email Design Studio, allowing this data source to be selected there and the data from it to be used.

ID: Enter "elevateemailrecs" as this value. It's important to use this ID to make the setup work.

Now activate Parameters to reveal the Input JSON schema field. Insert the code block below:

{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "type": "object",
  "title": "Parameters",
  "properties": {
      "campaign": {
      "title": "Token",
          "type": "string"
      },
      "block": {
      "title": "Block",
          "type": "integer",
          "minimum": 1
      }
  },
  "required": [
      "campaign", 
      "block"
  ]
}

Now press Save.

The Design Studio module

In the Design Studio editor, do the following:

1. Open an email template
2. Go to the module Starter library
3. Under the "Product recommendations" category, the Elevate Classic module should be visible
4. Drag this module onto your email canvas

Now find the module's data source settings.

To make this work you'll need to fill in a Token related to the email campaign in Elevate, if the campaign has more than one block it can be configured using the Block parameter. 

The Token can be copied from the Elevate app. 

If you are creating content for several markets you will need to change the Token value in Localization mode in Design Studio and it will then be saved for that market.

Now the module can be styled as any other module and saved in the Team library for future use.

Sendout from Design Studio

When creating a sendout, use your Elevate module from the team library. If needed, change the Token and block parameter. 

Article last reviewed 02 December 2025 10:17