Exceptions enable you to fine-tune your recommendations or product blocks by applying specific rules under certain conditions. This allows for more personalised and dynamic outcomes tailored to your business goals.
Define a "When" Trigger:
The exception is activated when a specified trigger occurs.
Click on the ‘When’ button to select and configure the trigger parameters.
Set the Exception Conditions:
After selecting the trigger, define the conditions for the exception.
These conditions can include changes to the:
- Algorithm: Select a different algorithm to be applied when the trigger is activated.
- Filters: Adjust filters to refine the product selection further.
Example Configuration
Scenario: You want to apply a different algorithm when a cart value exceeds €75.
Action:
Set the trigger: Cart Value > €75.
Configure the exception: Replace the default algorithm with the ‘Bestseller’ algorithm.
Result: For carts exceeding €75, the recommendation will display products based on the ‘Bestseller’ algorithm instead of the previously configured logic.
Save Your Configuration
After setting up exceptions, click the ‘Save’ button to store your changes.
Preview the Recommendation
Use the ‘Preview’ button in the top-right corner to verify how the exception behaves in real scenarios.
Additional Configuration Options
To further optimise your recommendation, explore these related features:
- Placement: Define where the recommendation will appear on your website.
- Product Groups: Specify the groups of products to include in the recommendation.
- Filters: Apply filters to refine the product selection based on criteria like price, category, or stock.
- Products Highlight: Pin specific products to feature them prominently in the recommendation.
- Options: Customise additional settings, such as excluding cart items or setting a fixed number of products.
Final Notes
- Exceptions provide a powerful way to personalise recommendations dynamically based on user behaviour or business logic.
- Use them strategically to optimise conversions and align recommendations with customer intent.
- For additional guidance, refer to the platform documentation or contact your Customer Success Manager (CSM).