After configuring the Brevo feed and product groups, 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.
Step 1: Applying Filters
Filter by Block or Entire Recommendation:
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.
Step 2: Combining Filters
Use the "OR" Button:
Combine multiple filters to expand your product selection.
Example: Filter products that are either below €16 OR belong to a specific category.
Dynamic Filters:
Assign a filter dynamically using variables tied to the algorithm.
This allows the filter to adapt based on real-time data or user behaviour.
Step 3: Explore Popular Filters
For more information about commonly used filters and their configurations, refer to the page: Most Popular Filters.
Save Your Configuration
Always click the ‘Deployed change’ button after applying filters to ensure your changes are stored.
Preview the merchandising
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:
- Brevo Feed: Ensure the feed from Brevo is correctly linked to the recommendation.
- Product Groups: Define groups of products to include in the recommendation.
- Product Highlights: Highlight specific products within the recommendation.
- Exceptions: Exclude certain products or categories as needed.
- Options: Set additional options to customise the behaviour of your recommendation.
- Parameters: Configure advanced parameters for more granular control.
- Preview: Check how the recommendation will appear to your audience.
Final Notes
- 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).