Define advanced merchandising rules

This is a premium feature. Contact your Customer Success Manager to enable it on your Kameleoon Account.

Kameleoon lets you define advanced merchandising rules that determine which products are recommended to your visitors. You can:

Leverage built-in algorithms to select which products appear in your recommendation.
Apply conditions to decide which algorithm should run.
Apply filters to refine which products each algorithm returns.

At the top of the configuration screen, you can view the block’s name, description, and the maximum number of products displayed in that block. You can configure the block by:

Changing the block’s title.
Combining algorithms and filters.
Configuring complex scenarios

Builder and rules overview

The merchandising rule builder lets you chain together algorithms, conditions, and actions.

Kameleoon evaluates rules from top to bottom. If there are not enough products matching the rules of one block, Kameleoon moves to the next block.

Click + to add a condition or action.

You then have three options:

Action — perform an operation such as renaming the entire product recommendation block displayed in your app.
Condition — define the logic that determines which algorithm runs.
Algorithm — select a built-in recommendation algorithm and apply filters to it.

Actions

Change block title to rename the block.
Sort products to sort the products returned by the algorithm based on different logic (for example, price, number of orders on those products, rating).

Conditions versus filters

Conditions and filters serve different purposes.

Concept	Purpose	Example
Condition	Defines which algorithm runs based on a logical rule.	If the current product’s price is $20, run Algorithm A; otherwise, run Algorithm B.
Filter	Refines which products an algorithm returns.	Apply the “Popular products” algorithm, but filter results to only show products from categories the user has purchased from.

Conditions

To add a condition:

Click the + icon > Condition.
Choose from the available condition types.

You can combine conditions with AND/OR.

Due to the “top to bottom” logic, a condition is applied to the next algorithm (the algorithm under the condition). For example, in the image below, if the product is more than $100 and in the cart, the user will see other popular products. If not, the user will see similar products.

Available conditions

Category	Condition	Description
Product and category	Are there any products in the cart?	Checks if the visitor has any products in their cart.
	Current cost of items in the cart	Evaluates the total value of the cart.
	Current product’s price	Targets based on the price of the current product.
	Current product already in cart?	Checks if the current product is already in the visitor’s cart.
	Current product ID	Matches a specific product ID.
	Current product’s brand is	Matches the brand of the current product.
	Current category contains	Matches if the current category contains a keyword.
	Current category equals	Matches a specific category.
	Current product belongs to category	Matches a specific category.
	Have products in the cart from category	Checks if the visitor has added products from a given category.
	Have products in the cart from current category	Checks if the visitor has added products from the current category.
	Current product has the parameter	Targets products that contain a specific attribute or parameter.
Actions	User bought something within the period (in days)	Targets visitors who made a purchase within a defined period.
	How many times purchased during the selected period	Evaluates purchase frequency.
	Opened a product “out of stock”	Checks if the visitor viewed an out-of-stock product.
	Opened a product from the categories	Matches product views by category.
	Added a product from the categories to the cart	Targets based on cart additions from certain categories.
	Bought a product from the categories	Targets based on purchases in certain categories.
	Opened a product	Checks if the visitor opened any product page.
	Added specific product to cart	Targets based on a specific product added to cart.
	Bought a product	Checks if the visitor completed a purchase.
	Opened a product from the brand	Matches based on product views from a brand.
	Added a product from the brands	Targets based on cart additions from specific brands.
	Bought a product from the brand	Targets based on purchases from a brand.

Filters

Filters refine which products an algorithm returns. To add a filter:

Hover over an algorithm > click the cogwheel icon.
Select Add filter.
Choose your desired filter and configure its parameters.

You can apply multiple filters to a single algorithm.

Available filters

Filter	Description
Show products only from selected categories	Restrict results to chosen categories.
Don’t show products from selected categories	Exclude specific categories.
Show only products from the category of the current product	Limit results to the current product’s category.
Show from categories in which the user has viewed products	Display products from categories the visitor has viewed.
Show products from categories the user has added to cart	Include categories where the visitor added products to the cart.
Show products from categories the user purchased	Include categories where the visitor has purchased items.
Interacted with products	Show products the user has previously interacted with.
Don’t show products from the wishlist	Exclude items marked as “wishlist.”
Show only products that fill up the user’s cart to a specified value	Recommend products that help reach a minimum cart value.
Show from categories from which the user has added products to the wishlist	Include categories tied to wishlist activity.
Show products that match a parameter value of the current product	Match attributes (for example, color or size) of the current product.
Show products matching the values of the selected parameter	Filter by shared parameter values across products.
Don’t show products that match a parameter value of the current product	Exclude products sharing a parameter with the current one.
Show products that match the brand of the current product	Display items from the same brand.
Show products from the same department	Limit results to the same department.
Don’t show selected products	Manually exclude specific products.
Show only products with price	Display only priced items.
Show products available in specified quantity	Filter by inventory level.
Show only statistically related products	Display products with strong statistical correlations.
Show products with a given margin	Filter based on profit margin.
Show only products of selected brands	Restrict results to chosen brands.
Don’t show products of selected brands	Exclude specific brands.
Discount products	Include only discounted items.
Discount value	Set a threshold for discount percentage or value.
Skip niche algorithms	Omit niche-based logic.
Exclude products of the same group	Avoid recommending items from the same group.
Show products with only gender	Filter by gender-related attribute.
Show products marked as new arrivals	Include new arrival products.
Sort by rating	Order products by user rating.
Do not show from categories in which the user has viewed products	Exclude categories the visitor has viewed.
Do not show products from categories the user purchased	Exclude categories the visitor has purchased from.
Don’t exclude previously purchased products	Include previously purchased products.
Don’t exclude already in-cart products	Include products already in the visitor’s cart.
Show products of selected merchants only	Limit results to selected merchants.
Don’t show products of selected merchants	Exclude selected merchants.
Show products of merchants of the current product	Match merchant of the current product.
Show products that match the rating	Include products matching a specific rating.
Don’t show products that match the rating	Exclude products with a given rating.
Do not show products from categories that the user added to cart	Exclude categories tied to cart additions.
By profit	Filter by profitability criteria.

Example use case

You can combine conditions and filters to create sophisticated merchandising scenarios. Example:

Condition: If the current product costs more than $100 → use the “Popular products” algorithm.
Filter (on Popular products): Only show products from categories the user purchased from.

If the condition isn’t met, Kameleoon moves to the next algorithm.

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Builder and rules overview

Actions

Conditions versus filters

Conditions

Available conditions

Filters

Available filters

Example use case

​Builder and rules overview

​Actions

​Conditions versus filters

​Conditions

Available conditions

​Filters

Available filters

​Example use case

Builder and rules overview

Actions

Conditions versus filters

Conditions

Filters

Example use case