Recommendation filters - examples of use

This article is the continuation of the Recommendation filters article and it contains the examples of recommendation filters usage. Each example considers a different business need.

Visual Builder

Defining condition between filters

Example 1

If there are items that meet the conditions of the filter A (for example, if there are 13 or more pieces of an item), the recommendation frame shows the items described in the filter A.

If there are no items that meet the filter A conditions, the recommendation frame shows the items that match the filter B (items of a different brand than the currently viewed item), if there are any.

If there are no items that meet the conditions of any of the filters (neither filter A nor B), then the recommendation frame is empty.

Example 2

The condition of both filters (A and B) must be met. It means the recommendation frame shows an item of which you have more than 12 pieces in stock and the brand of an item is different than the brand of the currently displayed item.

If there are no items that meet the filter conditions simultaneously, the recommendation frame is empty.

Example 3

Items must meet the conditions of two filters at the same time:

• the condition defined in the filter A (you must have 13 or more pieces of a specific item in your stock)
• the conditions defined either in B or C filters

Success:

• Items meet conditions of A and B filters.
• Items meet conditions of A and C filters.
• Items meet all conditions (then)

Failure:

• Items don’t meet the conditions of the filter A.
• Items don’t meet the conditions of both filters B and C. Result: The recommendation frame is empty

Examples of use

1. The goal of the recommendation is to display items whose number in your stock is greater than 12. To make it happen, set the filters to the following configuration:

   

2. The goal of the recommendation is boost brand loyalty by promoting items of specific brand whose number of purchases exceeded over 150 times in the last 30 days.

   

3. The goal of the recommendation is to display items with size matched individually for each customer. To make it happen, set the filters to the following configuration:

   

4. The goal of the recommendation is to display items in the recommendation frame of the same brand as the currently viewed items. In order to make it happen, set the filters to the following configuration:

   

   Note: You can see the same example for the IQL Query wizard. Go to the Examples in IQL Query section.

5. The goal of the recommendation is to display items in the recommendation frame that is discounted more than the currently viewed product. In order to make it happen, set the filters to the following configuration:

   

   Click here to see the tutorial

IQL Query

Examples of use

1. The goal of the recommendation is to display items which number in your stock is greater than 12. To make it happen, set the filters to the following configuration:

   

2. The goal of the recommendation is to display items with size matched individually for each customer. To make it happen, set the filters to the following configuration:

   

3. The goal of the recommendation is to display items in the recommendation frame of the same brand as the currently viewed items. In order to make it happen, set the filters to the following configuration:

   

4. The goal of the recommendation is to display items in the recommendation frame that are more expensive (above $180) when the size of the currently viewed item is larger than 36 and if this item is of the XYZ brand. In other case (when the size is smaller than 36 or the brand is not XYZ), the recommendation frame shows items which cost less than $180.

   

5. The goal of the recommendation is to promote items which are popular in summer. In order to make it happen, set the filter to the following configuration:

   

Examples of use

• Promote customer’s favorite products in recommendations
• Excluding category of recently purchased products in recommendations