What it does
When workspaces are grouped as co-brand workspaces, recommendation campaigns in any workspace of the group can return items from across all grouped workspaces. This means a customer whose profile exists in multiple workspaces will receive recommendations that draw from the combined item catalogs of all brands in the group — not just the workspace the campaign is running in.
Example: Workspace A is a sports brand, workspace B is a casual clothing brand. A recommendation campaign in workspace B will also return sports clothing or accessories to customers whose profiles exist in both workspaces — and vice versa, a campaign in workspace A may return casual clothing items.
Recommendation models
Co-brand personalization works for all recommendation models.
Modes
Co-brand workspaces operate in two modes for AI recommendations — configured by the Synerise support team when enabling the feature, and cannot be changed from the UI:
- Events — the AI engine combines events from all workspaces (item views, clicks, purchases), but customer profiles are not unified across workspaces.
- Model & events (Full) — the AI engine combines events from all workspaces and also unifies customer profiles across workspaces, resulting in a client-identity-aware model.
Requirements
See General requirements.
Setting up
- Create a group of workspaces.
- Contact the Synerise support to enable co-brand personalization in AI recommendations. The support team will confirm whether your workspace group meets the requirements and determine the appropriate mode.
- Once enabled, proceed to creating an AI recommendation.
- During the configuration, proceed to Additional settings.
- Enable the Co-Brand Personalization toggle.
- The badge next to the toggle label indicates the mode configured for your group.
- The filter applied to the recommendations will consider items from co-brand workspaces.
- You can preview the recommendation results.
You can enable or disable inclusion of items from co-brand workspaces in the preview to compare results between the state of the option.
Previewing results
Instructions on previewing recommendation results for AI recommendations with co-brand personalization enabled are available in "Previewing recommendations".