Filters
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After configuring the and , you can refine your recommendation results further by applying filters. Filters allow you to tailor the displayed products to meet specific criteria, ensuring that your recommendations are more relevant and targeted.
Filters can be applied to:
Individual Product Blocks: Each block can have its own unique set of filters.
The Entire Recommendation: Apply filters globally to affect all product blocks in the recommendation.
Define Filter Criteria:
Filters can be based on various criteria, such as:
Category
Price
Size
Other Attributes
Example Configuration Scenario: You want to filter products in Block 1 (Test 1) based on price. Action: Apply a filter that restricts Block 1 to display only products priced below €16. Result: Block 1 will only show products that meet this price condition.
Combine multiple filters to expand your product selection.
Example: Filter products that are either below €16 OR belong to a specific category.
Assign a filter dynamically using variables tied to the algorithm. This allows the filter to adapt based on real-time data or user behaviour.
Always click the ‘Deployed change’ button after applying filters to ensure your changes are stored.
Go to bottom in ‘Result to refine’ section to visualise the impact of your filters on the merchandising.
Additional Configuration Options
After setting up your filters, you can explore other features to further customise your recommendation:
Filters are a powerful tool to customise recommendations and enhance their relevance.
A well-configured filter strategy can significantly improve user engagement and conversion rates.
For additional support or advanced filter configurations, refer to the platform documentation or contact your Customer Success Manager (CSM).
For more information about commonly used filters and their configurations, refer to the page: .
: Ensure the feed from Brevo is correctly linked to the recommendation.
: Define groups of products to include in the recommendation.
: Apply filters to refine the selection of recommended products.
: Highlight specific products within the recommendation.
: Exclude certain products or categories as needed.
: Set additional options to customise the behaviour of your recommendation.
: Configure advanced parameters for more granular control.
: Check how the recommendation will appear to your audience