Skip to content
  • Documentation >
  • Guide >
  • Personalization >
  • Enable personalization

Enable personalization

The personalization service is based on a client-server architecture. To enable it, you must set up authentication parameters that you receive from Ibexa.

Get authentication parameters

First, either you or another Ibexa user responsible for managing the Ibexa DXP
instance must request access to the service.

Set up customer credentials

When you receive the confirmation email, add the credentials to your configuration. In the root folder of your project, edit either the .env or .env.local file by adding the following lines with your customer ID and license key: 

1
2
3
RECOMMENDATION_CUSTOMER_ID=12345
RECOMMENDATION_LICENSE_KEY=67890-1234-5678-90123-4567
RECOMMENDATION_HOST_URI=https://server_uri

Configuring user credentials for different customers

If your installation hosts multiple sites with different customer IDs, for example, to provide separate recommendations for different language versions of the store, you can store all credentials in the same file:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
# Main credentials - ENU store
RECOMMENDATION_CUSTOMER_ID=12345
RECOMMENDATION_LICENSE_KEY=67890-1234-5678-90123-4567
RECOMMENDATION_HOST_URI=https://server_uri

# Additional credentials - FRA store 
FRA_CUSTOMER_ID=54321
FRA_LICENSE_KEY=09876-5432-1098-7654-3210
FRA_HOST_URI=https://FRA_server_uri
FRA_CUSTOM_EXPORT_LOGIN=65432
FRA_CUSTOM_EXPORT_PASSWORD=#prtpswd_1

Configure event tracking

Next, you must configure the Personalization client that tracks visitor events in relation to Content Types.

Set up user roles and permissions

Depending on your requirements, you may need to set up edit and view permissions to grant users access to recommendation settings that relate to different SiteAccesses and results that come from these websites.

Configure recommendation logic

Once you enable the Personalization client, you can go back to the Back Office, refresh the Personalization dashboard and proceed with configuring the logic used to calculate the recommendation results.